Table of contents
- 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: Mean1h 17m
- 8. Sampling Distributions & Confidence Intervals: Proportion1h 20m
- 9. Hypothesis Testing for One Sample1h 8m
- 10. Hypothesis Testing for Two Samples2h 8m
- 11. Correlation48m
- 12. Regression1h 4m
- 13. Chi-Square Tests & Goodness of Fit1h 30m
- 14. ANOVA1h 4m
1. Introduction to Statistics
Intro to Stats
Struggling with Statistics for Business?
Join thousands of students who trust us to help them ace their exams!Watch the first videoMultiple Choice
You collect the test scores of every other student in a class. Is this data set a population or sample?
A
Population
B
Sample

1
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.
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