Chapter 4: Intro to Inferential Stats Flashcards

1
Q

What does inferential statistics estimate and what is it based on?

A

It estimates parameter based on statistic.

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2
Q

A measure observed from a population.

A

Parameter

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3
Q

A measure observed from a sample.

A

Statistic

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4
Q

Area of inferential statistics concerned with finding a value or range of values for an unknown parameter.

A

Estimation

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5
Q

Area of inferential statistics that verifies a claim about a parameter or distribution of the population.

A

Test of Hypothesis

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6
Q

A rule or formula for computing the statistics using the sample data.

A

Estimator

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7
Q

Can there be several estimators for a particular parameter?

A

Yes

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8
Q

A type of estimator that gives a single value in estimating a parameter.

A

Point Estimator

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9
Q

A type of estimator that gives a range of values for estimating a parameter.

A

Interval Estimator

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10
Q

Measures the closeness of an estimate to the true value.

A

Accuracy

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11
Q

Measures the closeness of the different possible values.

A

Precise

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12
Q

What percent of confidence interval will include the true value of parameter if sample size is done multiple times?

A

1-a%

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13
Q

Formula for the measure of confidence interval’s precision.

A

UL-LL

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14
Q

What is the effect of a larger sample size on precision?

A

Increase

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15
Q

What is the effect of a higher confidence level on precision?

A

Decrease

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16
Q

What is null hypothesis?

A

No difference between a parameter and a specific value or 2 or more populations.

17
Q

What is alternative hypothesis?

A

A difference exists between a parameter and a specific value or 2 or more populations.

18
Q

Symbols that signify null hypothesis.

19
Q

Symbols that signify alternative hypothesis.

20
Q

A hypothesis testing whose course of action is to find evidence to reject Ho.

A

Fisherian or Traditional Hypothesis Testing

21
Q

a

A

level of significance

22
Q

1-B

A

power of the test

23
Q

1-a

A

level of confidence

24
Q

What does 1-B mean in terms of Ho?

A

Reject Ho because Ho is false.

25
What does 1-a mean in terms of Ho?
Fail to reject Ho because Ho is true.
26
What is "a" or Type I error?
Reject Ho but Ho is true.
27
What is a "B" or Type II error?
Fail to reject Ho but Ho is false.
28
What is 90% equal to?
1.645
29
What is 95% equal to?
1.96
30
What is 98% equal to?
2.33
31
What is 99% equal to?
2.575