- 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
Struggling with Statistics for Business?
Join thousands of students who trust us to help them ace their exams!Watch the first videoFor which of the following scenarios can you NOT create a confidence interval using the standard normal or Student t-distribution?
A real estate agent wants to estimate the average selling price of homes in a neighborhood. She collects random sample data from 8 recent home sales and finds that the sample mean selling price is $350,000 with a sample standard deviation of $25,000. Assuming home prices in the neighborhood are normally distributed, construct a 95% confidence interval for the population mean selling price.
A financial analyst is studying the average return on investment (ROI) for a particular stock. He randomly selects data from 30 investors and finds that the sample mean ROI is 6.2% with a population standard deviation of 1.5%. Construct a 90% confidence interval for the population mean ROI.
An economist is analyzing monthly utility expenses for households. He collects data from 12 households and calculates a sample mean monthly expense of $180 with a sample standard deviation of $15. He also notes that the distribution of utility expenses is heavily skewed to the right. Construct a 90% confidence interval for the population mean monthly utility expense.

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