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Quantitative Method > MIDTERM | PPT > Flashcards

MIDTERM | PPT Flashcards

1
Q

What is Descrtiptive Statistics

A

Allows you to describe a data set

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2
Q

What is Inferential Statistics?

A

Allows you to make inferences based on a data set.

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3
Q

The difference between Descriptive and Inferential Statistics

A

Descriptive Statistics allows you to describe a data set, while Inferential Statistics allows you to make inferences based on a data set.

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4
Q

In descriptive, there is no ____ - the statistics precisely ____ the data that you collected.

A

uncertainty : describe

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5
Q

With inferential, its imporant to use ____ and __________.

A

random and unbiased sampling method.

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6
Q

Inferential Statistics is important in the field of IT by helping IT professionals to ?

3 Descriptions.

A
  • Make informed decisions
  • Draw meaningful Conclusions
  • Solve complex problems based on data and sample analysis.
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7
Q

How is Inferential Statistics used in IT

10 Items, but remember atleast 5.

A
  1. Quality Assurance and Testing
  2. Performance Analysis
  3. User Experience (UX) research
  4. Data Mining and Machine Learning
  5. Security and Anomaly Detection
  6. Resource Optimization
  7. A/B Testing
  8. Capacity Planning
  9. Root Cause Analysis
  10. Data Analytics
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8
Q

Inferential statistics can be used to test data to ensure that the results obtained from a sample allows you to make inferences based on a data set. the entire system being tested.

A

Quality Assurance

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9
Q

IT Systems and network must handle large amount of data and traffic. Inferential Statistics can be used to assess the performance of system.

A

Performance Analysis

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10
Q

IT professionals often use inferential statistics to conduct user surveys and gather data on user behaviour within websites of applications. The data can be used to make inferences about user oreferences, demographics, and behaviours, helping to improve the user experience.

A

UX research

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11
Q

Inferential Statistics is used and helps in assessing the significance of models and the accuracy predictions. Uses techniques like cross-validation and p-values to validate performace of machine learning algos.

A

Data Mining and Machine Learning

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12
Q

Inferential Statistics is used to detect unusual patterns in network traffic, system log, and user behaviour.

A

Security and Anomaly Detection

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13
Q

IT Infrastructure oftem involves managing resources such as server capacity, bandwidth, and, cloud resources. Inferential Statistics is essential for predicting future resource needs.

A

Resource Optimization

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14
Q

In IT troubleshoooting, identifying the root of causes is critical. Inferential statistics can be used to analyse historical data and logs to pinpoint the factors leading to a problem.

A

Root Cause Analysis

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15
Q

____ in IT leverages inferential statistics to draw insights from data. Whether it’s for customer obehavious analysis, sales forecasting, or system performance monitoring, statistics plays a key role. It uses inferential statistics to test hypotheses, assess the significance of observed patterns, and make data-driven recommendations for business decisions.

A

Data Analytics

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16
Q

A ____ is a calculated prediction or assumption about a population parameter based on limited evidence.

A

Hypothesis

17
Q

Types of Hypothesis

7 Items

A
  1. Simple
  2. Complex
  3. Null
  4. Alternative
  5. Logical
  6. Empirical
  7. Statistical
18
Q

It is the cause variable or the one responsible for the conditions that act on somethong else to bring out changes.

A

Independent Variable

19
Q

It is the outcome; the result or effect of the changes brought about by another variable.

A

Dependent Variable

20
Q

Types of Hypothesis

The basic hypothesis. Suggests that an independent variable is responsible for a corresponding dependent variable.

e.g. “Drinking sode can cause obesity”

A

Simple Hypothesis

21
Q

Types f Hypothesis

Also known as a modal. It accounts for the causal relationship between two independent variables and the resulting dependent variables.

e.g. “global warming causes icebergs to melt which in turn causes major changes in weather patterns”

A

Complex Hypothesis

22
Q

Types of Hypothesis

  • ____ is formed when a researcher suspects that there’s no relationship between the variables in an observation. In this case, the purpose of the research is to prove or disaprove this assumption.

e.g. theres no significant change in a students performance if they drink coffee or tea before classes

A

Null Hypothesis

23
Q

Types of Hypothesis

To disapprove a null hypothesis, the researcher has to come up with an opposite assumption.

A

Alternate Hypothesis

24
Q

Types of Hypothesis

____ is some of the most calculated assumptions in systematic investigations. An attempt to use your reasoning to *connect different pieces *in research and build a theory using little evidence.

A

Logical Hypothesis

25
Q

Types of Hypothesis

After forming logical hypothesis, next is to create a ____ hypothesis. Your logical hypo undergoes systematic testing to prove or disprove the assumption.

A

Empirical Hypothesis.

26
Q

Types of Hypothesis

When forming ____, the researcher examines the portion of a population of interest and makes calculated assumption based on the data from this sample.

A

Statistical Hypothesis

27
Q

____ is an assessment method that allows researchers to determine the plausibility of a hypothesis. It involved teasting a specific population parameter to wheter its true of false. These poulation parameters include, ____, _____, ____.

A

Hypothesis Testing

Variance, Standard Deviation, and Median.

28
Q

The basis of hypothesis testing is to …?

A

Analyze the null hypothesis and alternative hypothesis to know which one is the most plausible assumption.

29
Q

Stages of Hypothesis Testing

A
  1. Determine Null Hypothesis
  2. Specift the alternative hypothesis
  3. Set significance level
  4. Calculate the test statistics and corresponding P-value
  5. Draw your conclusion

Quantitative Method (5 decks)

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