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
7. Sampling Distributions & Confidence Intervals: Mean
Introduction to Confidence Intervals
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Join thousands of students who trust us to help them ace their exams!Watch the first videoMultiple Choice
Based on the analysis of the Classic Burger sales by coupon usage, which of the following statements is correct?
A
Coupons have no effect on Classic Burger sales.
B
The data is insufficient to determine any relationship between coupons and Classic Burger sales.
C
Classic Burger sales decrease when coupons are used.
D
There is evidence that coupons have a significant effect on Classic Burger sales.

1
Step 1: Begin by identifying the type of analysis required to determine the relationship between coupon usage and Classic Burger sales. This typically involves statistical methods such as hypothesis testing or regression analysis.
Step 2: Formulate the null hypothesis (Hâ‚€) and the alternative hypothesis (Hâ‚). For this problem, Hâ‚€ could be 'Coupons have no effect on Classic Burger sales,' and Hâ‚ could be 'Coupons have a significant effect on Classic Burger sales.'
Step 3: Collect and analyze the data. If the data includes sales figures with and without coupon usage, calculate relevant statistics such as means, variances, or proportions for each group. Use appropriate statistical tests, such as a t-test or chi-square test, depending on the data type.
Step 4: Evaluate the p-value or test statistic obtained from the analysis. Compare it to the significance level (e.g., α = 0.05). If the p-value is less than α, reject the null hypothesis and conclude that coupons have a significant effect on sales.
Step 5: Interpret the results in the context of the problem. If the null hypothesis is rejected, it supports the statement 'There is evidence that coupons have a significant effect on Classic Burger sales.' Ensure the conclusion aligns with the statistical evidence provided.
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