Table of contents

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1. Introduction to Statistics53m
2. Describing Data with Tables and Graphs2h 1m
3. Describing Data Numerically1h 48m
4. Probability2h 26m
5. Binomial Distribution & Discrete Random Variables2h 55m
6. Normal Distribution & Continuous Random Variables1h 48m
7. Sampling Distributions & Confidence Intervals: Mean2h 8m
8. Sampling Distributions & Confidence Intervals: Proportion1h 20m
- Sampling Distribution of Sample Proportion
  35m
- Confidence Intervals for Population Proportion
  45m
9. Hypothesis Testing for One Sample2h 23m
10. Hypothesis Testing for Two Samples3h 25m
11. Correlation1h 6m
12. Regression1h 4m
13. Chi-Square Tests & Goodness of Fit1h 30m
14. ANOVA1h 4m

1. Introduction to Statistics

Intro to Stats

Statistics for Business

1. Introduction to Statistics

Intro to Stats

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Multiple Choice

You collect the test scores of every other student in a class. Is this data set a population or sample?

Population

Sample

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Verified step by step guidance

Understand the definitions: A 'population' refers to the entire group that you are interested in studying, while a 'sample' is a subset of the population that you actually collect data from.

Identify the group of interest: In this scenario, the group of interest is all the students in the class.

Determine the data collection method: You collected the test scores of every other student, which means you did not collect data from every student in the class.

Compare the data set to the group of interest: Since you collected data from only a subset of the class (every other student), this data set represents a sample, not the entire population.

Conclude based on definitions: Since the data set is a subset of the class, it is a sample. A population would require data from every student in the class.