MODULE 3 Flashcards

1
Q

Measures linear correlation between two numerical variables

A

Pearson Correlation Coefficient

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2
Q

It is a branch of statistics that involves using sample data to make conclusions or predictions about a larger population.

A

Inferential Statistics

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3
Q

a fundamental concept in inferential statistics used to make decisions based on sample data for population.

A

Hypothesis testing

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4
Q

Inferential statistics encompasses techniques and methods used to:

A

Test hypotheses and make decisions about population characteristics
(hypothesis testing).

Make predictions or forecast future outcomes based on data (predictive
modeling)

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5
Q

measures the strength and direction of the linear relationship between two variables.

A

correlation

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6
Q

It allows us to infer or generalize findings from a sample to the population it represents.

A

Inferential Statistics

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7
Q

guides our decision-making in hypothesis testing by setting a threshold for accepting or rejecting the null hypothesis based on the observed data

A

Significance level

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8
Q

when the population standard deviation (σ) is unknown and must be estimated from the sample.

A

T-test

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9
Q

Functions of Diagnostic Analytics

A

Identify Anomalies
Drill into Analytics (Discovery)
Determine Casual Relationships

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10
Q

is used to determine whether there is a significant association between two categorical variables

A

Chi-Square Test

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11
Q

a statistical test used to determine whether there is a significant difference between sample and population means, or between the means of two samples

A

Z-test

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12
Q

is robust for small sample sizes and is appropriate when dealing with less than 30 samples or when the population standard deviation is unknown

A

T-test

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13
Q

Independent variable does influence dependent variable

A

Alternative hypothesis

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14
Q

in simple terms is like a range or a “guess” about where a population value might fall. It’s not an exact value, but rather a range of values that we can be reasonably confident the true population value lies within

A

Confidence interval

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15
Q

Steps in hypothesis testing

A

Formulate hypothesis
Choose significant level
Select test statistic
Calculate P-value
Make decision
Draw conclusion

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16
Q

It is the process of using sample data to calculate a single value (point estimate) that serves as an estimate of a population parameter

A

Point estimation

17
Q

Measure of association; Refers to a linear relationship two variables

A

correlation

18
Q

Refers to the general relationship between two random variables

A

association

19
Q

Errors

A

Type I Error - False Positive
Type II Error - False Negative

20
Q

This process uses statistical methods to analyze the sample data and draw inferences or make predictions about parameters or characteristics of the population.

A

Inferential Statistics

21
Q

Inferential statistics techniques / methods

A

Hypothesis testing
Predictive modeling

22
Q

are used to test hypotheses about population means or proportions.

when the population sd is known

n > 30

A

Z-test

23
Q

Measures the strength and direction of the nonlinear relationship between two variables

A

Spearman Rank Correlation

24
Q

Rejected Null hypothesis when it is true

A

Type I error
False positive

25
Q

Rejected Alternate hypothesis when it is true

A

Type II error
False negative

26
Q

Independent variable does not influence dependent variable.

A

Null hypothesis