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ISA 225 – Exam 1 Cram Kit (Leonard)

Exam 1 Cram Kit
1 hr 17 min

Unlock Exam Kit ($33.33)

Population Distributions 6 min 4 Concepts Sample Module

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Module Content

0% Complete 0/4 Steps

What is a population distribution? 1:00

Normal Distribution 0:42

Empirical Rule 2:40

Where the Empirical Rule falls short 1:15

Sampling Distributions 6 min 3 Concepts

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Module Content

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What is a sampling distribution? 1:15

Standard Error (SE) 2:37

Central Limit Theorem 1:51

Z-scores 8 min 6 Concepts

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Module Content

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Z-distribution 0:15

How to use z-scores 1:05

Z-scores with population mean 1:56

Z-scores with sample mean 1:47

Z-scores with population proportions aren’t necessary! 0:31

Z-scores with sample proportion 2:13

T-scores 9 min 5 Concepts

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Module Content

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Why are t-scores necessary? 1:24

T-distributions 1:24

How to use t-scores 1:05

T-scores with sample mean 2:12

T-scores with sample proportions are pointless! 1:58

Assumptions for Sampling Distributions 4 min 4 Concepts

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Module Content

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Why do we need assumptions? 0:30

Assumptions for Sample Means 0:48

Assumptions for Sample Proportions 0:52

Assumptions for Two Means 0:53

Confidence Intervals 12 min 8 Concepts

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Module Content

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What are confidence intervals? 1:16

Confidence… not probability! 01:11

Margin of Error 1:12

Critical Values 1:35

Confidence interval with one-proportion z-test 1:39

Confidence interval with one-mean z-test 1:41

Confidence interval with one-mean t-test 1:50

Confidence interval with two-mean t-test 1:28

Hypothesis Tests 21 min 13 Concepts

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Module Content

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What is a hypothesis test? 1:30

Null hypotheses 0:36

Alternative hypotheses 0:52

One-tail tests 1:03

Two-tail tests 0:57

Alpha level 1:07

Concluding statement 0:55

Type I Error 0:43

Type II Error 0:49

Hypothesis test with one-proportion z-test 2:42

Hypothesis test with one-mean z-test 2:52

Hypothesis test with one-mean t-test 3:20

Hypothesis test with two-mean t-test 3:04

Chi Square 11 min 8 Concepts

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Module Content

0% Complete 0/8 Steps

Why are Chi Square tests necessary? 0:44

Chi Square Distribution 0:49

Chi Square – Goodness of Fit 1:45

Chi Square – Independence 1:42

Assumptions for Chi Square – Goodness of Fit 0:25

Assumptions for Chi Square – Independence 0:20

Hypothesis test with Chi Square – Goodness of Fit 2:26

Hypothesis test with Chi Square – Independence 2:36

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