REM B LVL 1

Question 1

In Advanced Mathematics, it converts a
discrete-time signal, which is a
sequence of real or complex numbers,
into a complex frequency-domain
representation.

A. Z-transform
B. Borel Transform
C. Laplace Transform

Answer 1

A. Z-transform

Question 2

In Advanced Mathematics, it is an
integral transform that converts a
function of a real variable t to a complex
variable s.

A. Laplace Transform
B. Borel Transform
C. Fourier Transform
D. Z-transform

Answer 2

A. Laplace Transform

Question 3

If a power series has a positive radius of convergence and sum that is identically zero throughout its interval of
convergence, then each coefficient of
the series must be

A. Negative
B. Zero
C. One

Answer 3

B. Zero

Question 4

Which of the following statements
describes the sequence

(REM MATH B LVL 1 FIGURE)

A. The sequence is monotonic.
B. The sequence if unbounded.
C. The sequence is bounded.
D. The sequence converges to a number less
than 1.

Answer 4

C. The sequence is bounded.

As n increases, the value of an =(0.5,0.866,1,0.866,0.5,0,-0.5, -0.866,-1,-0.5, 0,0.5,0.866, 1…).
Thus, the sequence is divergent, is not
monotone and bounded.

Question 5

Indicate the nature of the second order
equation

(REM MATH B LVL 1 FIGURE)

A. Parabolic differential equation
B. Hyperbolic differential equation
C. Elliptic differential equation

Answer 5

A. Parabolic differential equation

Question 6

Determine the nature of the second
order equation

(REM MATH B LVL 1 FIGURE)

A. Hyperbolic differential equation
B. Elliptic differential equation
C. None of these
D. Parabolic differential equation

Answer 6

A. Hyperbolic differential equation

Question 7

The PDE A d^2 u/dx^2 + B d^2 u/dxdy +
C d^2 u/dy^2 +D= 0 is hyperbolic if.

A. B^2-4AC=0
B. B^2-4AC>0
C. B^2-4AC<0

Answer 7

B. B^2-4AC>0

Question 8

___ is one of the
mathematical equations for an
indefinite function of one or more than one variables that relate the values of the function. Differentiation of an equation in various orders.

A. Simultaneous Differential equation
B. Heat equation
C. Bessel’s differential equation
D. Legendre’s Polynomial

Answer 8

A. Simultaneous Differential equation

Question 9

It is also known as characteristic vector of a linear transformation is a nonzero vector that changes at most by a scalar factor when that linear transformation is applied to it, often denoted by 入.

A. Eigenvector
B. Gauss-Jordan Elimination
C. Matrix Inversion

Answer 9

A. Eigenvector

Question 10

It is the sum of the area of each
rectangle within a given interval under
the curve of a function.

A. Lagrange Theorem
B. Trapezoidal Rule
C. Simpson’s Rule
D. Midpoint Rule

Answer 10

D. Midpoint Rule

Question 11

The approximation of the derivative at x:
f’(x)=(f(x+h)-f(x))/h; is called

A. Forward differencing
B. Centered differencing
C. Backward differencing
D. Both Forward differencing and Centered
differencing

Answer 11

A. Forward differencing

Question 12

The approximation of the derivative at x:
f’(x)=(f(x+h)-f(x-h))/2h; is called

A. Both Forward differencing and Centered
differencing
B. Forward differencing
C. Centered differencing
D. Backward differencing

Answer 12

C. Centered differencing

Question 13

Which of the following numerical
methods is more accurate in evaluating
definite integral

A. Lagrange Theorem
B. Midpoint Rule
C. Trapezoidal Rule
D. Simpson’s Rule

Answer 13

D. Simpson’s Rule

Question 14

The approximation of the derivative of x:
f’(x)=(f(x)-f(x-h))/h; is called.

A. Forward differencing
B. Backward differencing
C. Both Forward differencing and Centered
differencing

Answer 14

B. Backward differencing

Question 15

Approximation of the value of definite
integral by using trapezoids rather than
rectangles.

A. Midpoint Rule
B. Trapezoidal Rule
C. Lagrange Theorem

Answer 15

B. Trapezoidal Rule

Question 16

What are external data sources for
analysis?

A. Data obtained from public databases
and third parties
B. Data collected from customer surveys
C. Data generated and collected within your
organization

Answer 16

A. Data obtained from public databases
and third parties

Question 17

It divides the data into 100 equal
regions.

A. Decile
B. Inter-Quartile Range
C. Percentile
D. Population

Answer 17

C. Percentile

Question 18

Which of the following external data
sources can provide insights into
consumer sentiment and social
behavior?

A. Production records
B. Social media platforms
C. Employee performance data

Answer 18

B. Social media platforms

Social media platforms generate usergenerated content that can be analyzed to gain insights into consumer
sentiment, public opinion, trends, and
social behavior.

Question 19

What is the characteristic of first-party
data collected from customer surveys?

A. It is available in government portals
B. It is purchased from third-party
organizations
C. It is unstructured and unreliable
D. It is directly collected by the company
from customers

Answer 19

D. It is directly collected by the company
from customers

First-party data collected from
customer surveys is a form of data
directly collected by the company from
its customers. It is structured and
provides valuable insights into
customer preferences, opinions, and
experiences.

Question 20

What type of interview provides the
greatest flexibility?

A. Structured interviews
B. Unstructured interviews
C. Semi-structured interviews
D. Comparative interviews

Answer 20

B. Unstructured interviews

Unstructured interviews provide the
greatest flexibility, as there are no
predetermined questions. The
conversation flows naturally, allowing
participants to share their perspectives and provide insights on various aspects related to the topic.

Question 21

A study in which a sample is used to make an interference to a conceptual (future) population.

A. Analytic Study
B. Retrospective Study
C. Enumerative Study
D. Observational Study

Answer 21

A. Analytic Study

Analytic Study - a sample is used to make an
interference to a conceptual (future) population.

Enumerative Study - a sample is used to make an interference to the population from which the sample is selected.

Retrospective Study - uses either all of a sample of the historical process data archived over some period of time.

Observational Study - a person observes the process or population, disturbing it as little possible,and records the quantities of interest.

Question 22

What type of data can be found in
academic research publications?

A. Data collected through experiments,
surveys, or simulations
B. Financial ratios and indicators
C. Manufacturing data and production logs

Answer 22

A. Data collected through experiments,
surveys, or simulations

Academic research publications provide
access to data collected through
experiments, surveys, simulations, or
observational studies relevant to
specific fields.

Question 23

One in which every member of the
population has an equal likelihood of
appearing.

A. Random Sample
B. Sample
C. Probability

Answer 23

A. Random Sample

Probability is an area of study which involves predicting the relative likelihood of various outcomes.

A sample is a chosen part of the
population in question.
Statistics is a collection of numbers.

A random sample is one in which every member of the population has an equal likelihood of appearing

Question 24

Data analysis is the process of:

A. Collecting data from various sources
B. Presenting data in visual charts and
graphs.
C. Manipulating and exploring data to
extract meaningful insights.

Answer 24

C. Manipulating and exploring data to
extract meaningful insights.

Data analysis involves manipulating and
exploring data to extract meaningful
insights, draw conclusions, and support decision-making. It includes techniques such as statistical analysis, regression analysis, neural networks, and text
analysis.

Question 25

It divides the data into 10 equal regions. A. Population B. Decile C. Percentile

Answer 25

B. Decile

Question 26

What is one of the key tasks in data cleaning? A. Aggregating data from numerous sources B. Identifying major gaps in the data C. Extracting irrelevant data points

Answer 26

C. Extracting irrelevant data points One of the key tasks in data cleaning is to remove irrelevant data points that have no bearing on the intended analysis. This helps to streamline the dataset and focus only on the relevant observations for accurate analysis.

Question 27

It is the mean of the squares of the deviations of each measurement from the mean of the population. A. Interquartile Range B. Variance C. Standard Deviation

Answer 27

B. Variance The interquartile range is the difference between the upper quartile and the lower quartile. One simple measure of variability is the sample range, the difference between the smallest item and the largest item in each sample. Variance is the mean of the squares of the deviations of each measurement from the mean of the population. Standard deviation is defined as the square root of the variance.

Question 28

It represents the average of the sample population. A. Mode B. Quantile C. Median D. Mean

Answer 28

D. Mean Mode is the value which appears most frequently. Median divides a sample of data in a way that 50% of the values are smaller than the median and 50% of values are bigger (or equal). Mean represents the average of the sample population. Quantile is a value that divides the sample into two parts.

Question 29

What role does data analysis play in decision-making? A. Data analysis supports decision- making based on evidence. B. Data analysis ensures data accuracy and reliability. C. Data analysis collects data for reference.

Answer 29

A. Data analysis supports decision- making based on evidence. Data analysis supports decision-making by providing evidence-based insights and actionable information. It helps make informed decisions and supports identifying areas for improvement.

Question 30

An area of study which involves predicting the relative likelihood of various outcomes. A. Probability B. Random Sample C. Sample

Answer 30

A. Probability Probability is an area of study which involves predicting the relative likelihood of various outcomes. A sample is a chosen part of the population in question. Statistics is a collection of numbers. A random sample is one in which every member of the population has an equal likelihood of appearing.

Question 31

A study which uses either all of a sample of the historical process data archived over some period of time. A. Analytic Study B. Retrospective Study C. Observational Study

Answer 31

B. Retrospective Study Analytic Study - a sample is used to make an interference to a conceptual (future) population. Enumerative Study - a sample is used to make an interference to the population from which the sample is selected. Retrospective Study - uses either all of a sample of the historical process data archived over some period of time. Observational Study - a person observes the process or population, disturbing it as little possible,and records the quantities of interest.

Question 32

It is the difference between the smallest item and the largest item in each sample. A. Sample Range B. Variance C. Interquartile Range D. Standard Deviation

Answer 32

A. Sample Range The interquartile range is the difference between the upper quartile and the lower quartile. One simple measure of variability is the sample range, the difference between the smallest item and the largest item in each sample. Variance is the mean of the squares of the deviations of each measurement from the mean of the population. Standard deviation is defined as the square root of the variance.

Question 33

What is the first step in the data analysis process? A. Analyzing the data B. Drawing conclusions C. Collecting data D. Defining the objective

Answer 33

D. Defining the objective The first step in the data analysis process is to define the objective or problem statement. This involves formulating a hypothesis and understanding the business problem that needs to be solved.

Question 34

A study in which a person observes the process or population, disturbing it as little possible, and records the quantities of interest. A. Enumerative Study B. Analytic Study C. Observational Study

Answer 34

C. Observational Study Enumerative Study - a sample is used to make an interference to the population from which the sample is selected. Retrospective Study - uses either all of a sample of the historical process data archived over some period of time. Observational Study - a person observes the process or population, disturbing it as little possible,and records the quantities of interest.

Question 35

A value that divides the sample into two parts. A. Mode B. Mean C. Median D. Quantile

Answer 35

D. Quantile

Question 36

Where does second-party data come from? A. It is the first-party data of other organizations B. It is obtained from government portals and open data repositories C. It is collected by the company from its customers

Answer 36

A. It is the first-party data of other organizations Second-party data refers to the first- party data of other organizations. It can be obtained directly from the company or through a private marketplace. Examples include website activity, app usage, social media activity, purchase histories, and shipping data.

Question 37

Which of the following is an example of a data collection method? A. Surveys B. Hypothesis testing C. Literature review

Answer 37

A. Surveys Surveys are a common data collection method used to gather information from respondents through a set of structured questions.

Question 38

It is the value which appears most frequently. A. Quantile B. Mean C. Mode

Answer 38

C. Mode

Question 39

Which of the following is an example of an internal data source in engineering data analysis? A. Production records B. Industry reports C. Government publications D. Public databases

Answer 39

A. Production records Production records are generated and collected within the organization and provide insights into the efficiency, output, and quality of manufacturing or production operations

Question 40

What does skewness measure in the context of statistics? A. The symmetry of data distribution B. The relationship between two variables C. The peakness of data distribution

Answer 40

A. The symmetry of data distribution Skewness measures the asymmetry of a data distribution. A positive skew indicates a tail on the right side, a negative skew indicates a tail on the left side.

Question 41

What does the mean of a distribution represent? A. The center of the distribution B. The shape of the distribution C. The probability of an event occurring D. The spread of the data

Answer 41

A. The center of the distribution The mean of a distribution represents the central location around which the data is clustered.

Question 42

What is a parameter in statistics? A. A characteristic or attribute that can take on different values B. A range of values that likely contains the true population parameter C. A numerical characteristic of a population D. A numerical characteristic calculated from a sample

Answer 42

C. A numerical characteristic of a population Parameters are numerical characteristics that describe the population as a whole, such as the average, proportion, or standard deviation of a certain measurement in the population.

Question 43

Which of the following questions is a statistical question? A. How many hours of professional training took place over the weekend? B. How many professional sports leagues are there? C. Where do the professional sports leagues play? D. How many hours do the student-athletes at your school spend each week training for a sports league?

Answer 43

B. How many professional sports leagues are there? A statistical question is a question that can be answered by collecting data that vary. In the given options, how many professional sports leagues are there?is a statistical question. Here to answer this question, we have to collect data from the sources.

Question 44

The probability of rejecting a true hypothesis is called A. Test statistics B. Statement of hypothesis C. Level of significance

Answer 44

C. Level of significance The probability of rejecting a true hypothesis is called the level of significance. The level of significance,also known as alpha (a), represents the maximum acceptable probability of making a Type I error, which is rejecting a true null hypothesis. It is typically set before conducting a hypothesis test and helps determine the critical region of the test.

Question 45

In hypothesis testing, a critical value is used to A. Assess the significance of the statistical test B. Set the research hypothesis C. Accept the null hypothesis D. Determine the sample size

Answer 45

A. Assess the significance of the statistical test A critical value is used to compare the test statistic and determine whether the obtained result is statistically significant. It helps in deciding whether to reject or accept the null hypothesis.

Question 46

Which test we normally apply for Qualitative data? A. X Chi-square test B. Z-test C. T-test D. F-test

Answer 46

A. X Chi-square test X Chi-square test is a statistical hypothesis test that compares two variables of a contingency test to check how they are related. It is a nonparametric test and this test normally applies to qualitative data.

Question 47

The rejection probability of Null Hypothesis when it is true is called as A. Level of Rejection B. Level of Margin C. Level of Confidence D. Level of Significance

Answer 47

D. Level of Significance The probability of committing a type l error (rejecting the null hypothesis when it is actually true) is called a (alpha) the other name for this is the level of statistical significance.

Question 48

Statistical significance alone does not provide information about the A. Population size B. Sample size C. Confidence interval D. Effect size

Answer 48

D. Effect size Statistical significance only indicates whether the observed effect is likely to have occurred by chance or not. It does not provide information about the magnitude or importance of the effect.

Question 49

What is a type I error in hypothesis testing? A. Accepting the alternative hypothesis when it is false B. Rejecting the null hypothesis when it is true C. Accepting the null hypothesis when it is true D. Failing to reject the null hypothesis when it is false

Answer 49

B. Rejecting the null hypothesis when it is true A type I error (false-positive) occurs if an investigator rejects a null hypothesis that is actually true in the population; a type Il error (false-negative) occurs if the investigator fails to reject a null hypothesis that is actually false in the population.

Question 50

Rejection of the null hypothesis is a conclusive proof that the alternative hypothesis is A. False B. True C. Neither D. Either

Answer 50

C. Neither The rejection of the null hypothesis in favor of the alternative hypothesis cannot be taken as conclusive proof that the alternative hypothesis is true,but rather as a piece of evidence that increases one's belief in the truth of the alternative hypothesis.

Question 51

A statement whose validity is tested on the basis of a sample is called A. Composite Hypothesis B. Null Hypothesis C. Statistical Hypothesis D. Simple Hypothesis

Answer 51

C. Statistical Hypothesis In testing of Hypothesis, a statement whose validity is tested on the basis of a sample is called as Statistical Hypothesis. Its validity is tested with respect to a sample.

Question 52

What is the critical region in hypothesis testing? A. The region where the test statistic falls to reject the null hypothesis B. The region of acceptance for the alternative hypothesis C. The region of rejection for the null hypothesis

Answer 52

C. The region of rejection for the null hypothesis A critical region, also known as the rejection region, is a set of values for the test statistic for which the null hypothesis is rejected. i.e. if the observed test statistic is in the critical region then we reject the null hypothesis and accept the alternative hypothesis.

Question 53

If the Critical region is evenly distributed then the test is referred as A. Zero tailed B. One tailed C. Three tailed D. Two tailed

Answer 53

D. Two tailed In hypothesis testing, a critical region is a range of values or a set of outcomes that leads to the rejection of the null hypothesis. It represents the extreme values of the test statistic that would provide evidence against the null hypothesis. A two-tailed test, also known as a twosided test, is a type of hypothesis test where the critical region is divided equally on both sides of the distribution.It is used when we want to determine if the sample data significantly deviates from the null hypothesis in either direction. Therefore, when the critical region is evenly distributed, the test is referred to as a two-tailed test because it considers deviations from the null hypothesis in both the positive and negative directions.

Question 54

Goodness of fit of a distribution is tested by A. T-test B. Z-test C. Chi-square test

Answer 54

C. Chi-square test The goodness of fit test is a statistical hypothesis test to see how well sample data fit a distribution from a population with a normal distribution. There are multiple types of goodness-of-fit tests,but the most common is the chi-square test. The chi-square test determines if a relationship exists between categorical data. The Kolmogorov-Smirnov test determines whether a sample comes from a specific distribution of a population.

Question 55

The p-value in hypothesis testing represents A. The probability of accepting the null hypothesis when it is true B. The probability of rejecting the null hypothesis when it is true C. The probability of committing a Type I error D. The probability of obtaining the observed sample data or more extreme results, assuming the null hypothesis is true

Answer 55

D. The probability of obtaining the observed sample data or more extreme results, assuming the null hypothesis is true The P value, or calculated probability, is the probability of finding the observed,or more extreme, results when the null hypothesis (H 0) of a study question is true - the definition of 'extreme' depends on how the hypothesis is being tested.

Question 56

Which of the following is defined as the rule or formula to test a Null Hypothesis? A. Variance statistic B. Population statistic C. Null statistic D. Test statistic

Answer 56

D. Test statistic

Question 57

The alternative hypothesis represents A. The research hypothesis B. No effect or no difference C. The null hypothesis

Answer 57

A. The research hypothesis The alternative hypothesis represents the researcher's belief or expectation of the presence of a relationship or difference between variables or groups.

Question 58

A probability value is used to assess the A. Significance of the null hypothesis B. Critical value C. Research hypothesis D. Sample size

Answer 58

D. Sample size A probability value, also known as a p- value, is used to assess the significance of the statistical test. It indicates the probability of obtaining the observed data or more extreme results assuming the null hypothesis is true.

Question 59

The coefficient of correlation measures the A. Sample size B. Effect size C. Confidence interval

Answer 59

B. Effect size The coefficient of correlation quantifies the strength of the relationship between two variables. It provides information about the effect size, indicating how strong or weak the correlation is.

Question 60

In a hypothesis test, the alternative hypothesis A. Is always accepted B. Represents the status quo C. Is the opposite of the null hypothesis

Answer 60

C. Is the opposite of the null hypothesis The alternative hypothesis is one of two mutually exclusive hypotheses in a hypothesis test. The alternative hypothesis states that a population parameter does not equal a specified value. The alternative hypothesis represents what we hope to prove or find evidence for, and it is the opposite of the null hypothesis.

Question 61

A Type Il error occurs when A. The null hypothesis is incorrectly accepted B. The null hypothesis is incorrectly rejected C. The null hypothesis is correctly accepted D. The null hypothesis is correctly rejected

Answer 61

A. The null hypothesis is incorrectly accepted A type I error (false-positive) occurs if an investigator rejects a null hypothesis that is actually true in the population; a type l error (false-negative) occurs if the investigator fails to reject a null hypothesis that is actually false in the population. Thus, the type Il error occurs when the null hypothesis is incorrectly accepted, indicating no effect or difference when there actually is one.

Question 62

In hypothesis testing, what is the null hypothesis? A. The hypothesis that is assumed to be false B. The hypothesis that is proven to be true C. The hypothesis that is tested using a two sample t-test D. The hypothesis that is based on expert opinion

Answer 62

B. The hypothesis that is proven to be true The null hypothesis is a statement assumed to be false or no effect present, which is tested against an alternative hypothesis.

Question 63

What is a single-sample hypothesis testing problem? A. Testing the hypothesis about the difference between the sample mean and a known value. B. Testing the hypothesis about the difference between two sample means. C. Testing the hypothesis about the difference between two population means.

Answer 63

A. Testing the hypothesis about the difference between the sample mean and a known value. In a single-sample hypothesis testing problem, the hypothesis is about the difference between the sample mean and a known or predicted value

Question 64

A statement made about a population for testing purpose is called A. Level of Significance B. Hypothesis C. Statistic

Answer 64

B. Hypothesis Hypothesis is a statement made about a population in general. It is then tested and correspondingly accepted if True and rejected if False.

Question 65

Which term refers to the variable being predicted or explained in regression analysis? A. Response variable B. Error term C. Independent variable

Answer 65

A. Response variable The response variable, also known as the dependent variable or outcome variable, is the variable being predicted or explained in a regression analysis.It is denoted as Y.

Question 66

What does RMSE stand for in regression analysis? A. Residual Mean Squared Error B. Regression Model Standard Error C. Relative Mean Squared Error D. Root Mean Squared Error

Answer 66

D. Root Mean Squared Error RMSE stands for Root Mean Squared Error. It is a measure of the average difference between the observed and predicted values of the dependent variable. RMSE is used to assess the goodness of fit of a regression model,with lower values indicating better fit.

Question 67

Which correlation coefficient assumes a linear relationship between two continuous variables? A. Kendall's rank correlation coefficient B. Pearson correlation coefficient C. Spearman's rank correlation coefficient D. Coefficient of determination

Answer 67

B. Pearson correlation coefficient Most often, the term correlation is used in the context of a linear relationship between 2 continuous variables and expressed as Pearson product-moment correlation. The Pearson correlation coefficient is typically used for jointly normally distributed data (data that follow a bivariate normal distribution)

Question 68

What would be the slopes of two regression lines parallel to each other? A. Negative B. Zero C. Positive D. Same

Answer 68

D. Same When two regression lines are parallel to each other, it means that they have the same slope. The slope of a regression line represents the rate of change in the dependent variable (Y) for every unit change in the independent variable (X). If two regression lines have different slopes, they would not be parallel. This would imply that the rate of change in the dependent variable differs for each unit change in the independent variable, leading to lines that do not run parallel to each other.

Question 69

Which of the following are types of correlation? A. Simple, Partial and Multiple B. All of these choices C. Linear and Nonlinear D. Positive and Negative

Answer 69

B. All of these choices

Question 70

All data points falling along a straight line is called A. Nonlinear relationship B. Linear relationship C. Residual D. Scatter diagram

Answer 70

B. Linear relationship All data points falling along a straight line is called a linear relationship. A linear relationship (also known as a linear association) is a statistical term that refers to a relationship between two variables that follows a straight line.

Question 71

The correlation coefficient describes A. Only magnitude B. Only direction C. Both magnitude and direction D. None of these choices

Answer 71

C. Both magnitude and direction The correlation coefficient quantifies the strength and direction of the relationship between two variables. It provides information about both the magnitude (strength) and the direction of the correlation. The coefficient's value indicates how closely the variables are related and whether the relationship is positive or negative.

Question 72

Diana placed three tomato plants (A, B,C) under three different types of light.She measured the height of each plant after 3 weeks. What is the dependent variable? A. The tomato plants B. The different types of light C. The height of each plant

Answer 72

C. The height of each plant In an experiment, the dependent variable is the variable that is measured or observed and is expected to be influenced by the independent variable.It is the outcome or response variable that researchers are interested in studying or understanding. In this scenario, Diana placed three tomato plants (A, B, C) under three different types of light and measured the height of each plant after 3 weeks The dependent variable in this experiment is the "height of each plant."It is the variable that Diana measured or observed to determine if it was influenced by the independent variable, which is the different types of light.

Question 73

Which of the following is commonly referred to as 'data fishing'? A. None of these choices B. Data bagging C. Data booting

Answer 73

A. None of these choices

Question 74

Experimental design methods are not used in ___ A. In process development B. Evaluating the process capability C. To obtain a process that is robust and insensitive to external sources of variability D. In process troubleshooting to improve process performance

Answer 74

B. Evaluating the process capability

Question 75

Which key concepts are important in creating a designed experiment? A. Hypothesis testing and regression analysis B. Descriptive statistics and data visualization C. Correlation and causation D. Blocking, randomization, and replication

Answer 75

D. Blocking, randomization, and replication Key concepts in creating a designed experiment include blocking (restricting randomization), randomization (order of trials), and replication (repeating the complete experimental treatment).

Question 76

The DFSS stands for ___ A. Development for six-sigma B. Design for six-sigma C. Degradation for Six-sigma D. Deleting for smaller standards

Answer 76

B. Design for six-sigma DFSS stands for Design for Six Sigma. It is a methodology that focuses on designing new products, processes, or services to meet customer needs and achieve high levels of quality and performance. DFSS aims to proactively address potential issues and variability during the design stage rather than relying on post-production improvements or problem-solving. It incorporates Six Sigma principles and tools to optimize the design and ensure that the final product or process meets customer requirements while minimizing defects and variability.

Question 77

In a comparative experiment, what is the objective? A. To compare the mean values of different variables. B. To observe and record data without making deliberate changes. C. To rely solely on scientific theories for problem-solving D. To establish cause-and-effect relationships.

Answer 77

A. To compare the mean values of different variables. In a comparative experiment, the objective is to compare the mean values of different variables or conditions to determine if there is a significant difference between them.