MATH 1-1

Question 1

One of the useful statistical tools in data management is _________.

Answer 1

Descriptive Statistics

Question 2

are statistical metrics that describe the center or typical value of a dataset. The three main measures are mean, median, and mode.

Answer 2

Measure of Central Tendency

Question 3

Results are shown in form of charts, tables, and graphs

Answer 3

Descriptive Statistics

Question 4

is a circular graph divided into slices to illustrate the proportion of categories in a dataset. Each slice represents a percentage of the whole.

Answer 4

Pie Chart

Question 5

deals with organization, presentation, and analysis of data that help describe, show, or summarize data in a meaningful way.

Answer 5

Descriptive Statistics

Question 6

is the field of study that involves collecting, analyzing, interpreting, presenting, and organizing data. It provides methods and principles that help us make sense of data and draw reliable conclusions in the face of uncertainty.

Answer 6

Statistics

Question 7

allows for generalizing findings from a sample to a larger population.

Answer 7

Inference (Inferential Statistics)

Question 8

This involves summarizing and organizing data using measures like mean, median, mode, variance, and standard deviation.

Answer 8

Descriptive Statistics

Question 9

describe the spread of data values around the center of a dataset, providing insight into variability. Common measures include range, variance, standard deviation, and interquartile range (IQR).

Answer 9

Measures of Dispersion

Question 10

derived from mathematics are useful in processing and managing data. Selection of appropriate tools and efficient use of these tools can help people organize, analyze, and interpret data.

Answer 10

Statistical tools

Question 11

Tools: measures of central tendency, variation, and position

Answer 11

Descriptive Statistics

Question 12

is a procedure to determine if there’s enough evidence to support a specific claim about a population parameter.

Answer 12

Hypothesis Testing

Question 13

is a bar graph that represents the frequency distribution of a dataset, usually for continuous data. The data is grouped into bins (intervals), and the height of each bar indicates the number of data points in each bin.

Answer 13

Histogram

Question 14

Concerned with making inferences from the sample and generalize them to the population.

Answer 14

Inferential Statistics

Question 15

like z-scores and percentiles, indicate where a specific data point stands relative to others in the dataset. They are useful for comparing individual values to the overall dataset.

Answer 15

Measures of relative position

Question 16

Data visualization (_______, ______, ______) helps in understanding data patterns.

Answer 16

histograms, pie charts, box plots

Question 17

refers to the probability that a population parameter will fall between a set of values for a certain proportion of times.

Answer 17

Confidence Intervals

Question 18

the simplest measure of dispersion, showing the difference between the highest and lowest values in a dataset.

Answer 18

Range

Question 19

Compare, test hypothesis, and predict future outcomes.

Answer 19

Inferential Statistics

Question 20

helps determine the significance of the test results. It represents the probability of obtaining the observed sample results if the null hypothesis is true.

Answer 20

P-Value

Question 21

is a symmetric, bell-shaped distribution where most data points are around the mean, with fewer points farther from the center. The distribution is defined by two parameters: the mean (μ) and the standard deviation (σ). In a normal distribution:

Answer 21

Normal Distribution

Question 22

Results are shown in statistics and probability values

Answer 22

Inferential Statistics

Question 23

measures the average squared deviations from the mean. It indicates how spread out the data points are.

Answer 23

Variance

Question 24

Concerned with describing the target population

Answer 24

Descriptive Statistics

Question 25

(or standard score) indicates how many standard deviations a specific data point is from the mean of the dataset. Z-scores standardize values, making it easier to compare data points from different distributions

Answer 25

Z-Score

Question 26

_____. is the square root of the variance, giving a measure of dispersion in the same units as the original data. It’s more interpretable than variance and reflects the typical distance of data points from the mean.

Answer 26

Standard deviation

Question 27

indicates the relative position of a data point within a dataset by showing the percentage of data that falls below it. For instance, if a score is at the 85th percentile, it is higher than 85% of all other scores in the dataset.

Answer 27

Percentile

Question 28

Organize, analyze, and present the data in a meaningful manner.

Answer 28

Descriptive Statistics

Question 29

Tools: hypothesis tests, analysis of variance

Answer 29

Inferential Statistics