Forecast and Actual Temperatures Listed below are actual temperatures (°F) along with the temperatures that were forecast five days earlier (data collected by the author). Use a 0.05 significance level to test the claim that differences between actual temperatures and temperatures forecast five days earlier are from a population with a mean of 0°F.
Table of contents
- 1. Intro to Stats and Collecting Data1h 14m
- 2. Describing Data with Tables and Graphs1h 56m
- 3. Describing Data Numerically2h 5m
- 4. Probability2h 16m
- 5. Binomial Distribution & Discrete Random Variables3h 6m
- 6. Normal Distribution and Continuous Random Variables2h 11m
- 7. Sampling Distributions & Confidence Intervals: Mean3h 23m
- Sampling Distribution of the Sample Mean and Central Limit Theorem19m
- Distribution of Sample Mean - Excel23m
- Introduction to Confidence Intervals15m
- Confidence Intervals for Population Mean1h 18m
- Determining the Minimum Sample Size Required12m
- Finding Probabilities and T Critical Values - Excel28m
- Confidence Intervals for Population Means - Excel25m
- 8. Sampling Distributions & Confidence Intervals: Proportion2h 10m
- 9. Hypothesis Testing for One Sample5h 8m
- Steps in Hypothesis Testing1h 6m
- Performing Hypothesis Tests: Means1h 4m
- Hypothesis Testing: Means - Excel42m
- Performing Hypothesis Tests: Proportions37m
- Hypothesis Testing: Proportions - Excel27m
- Performing Hypothesis Tests: Variance12m
- Critical Values and Rejection Regions28m
- Link Between Confidence Intervals and Hypothesis Testing12m
- Type I & Type II Errors16m
- 10. Hypothesis Testing for Two Samples5h 37m
- Two Proportions1h 13m
- Two Proportions Hypothesis Test - Excel28m
- Two Means - Unknown, Unequal Variance1h 3m
- Two Means - Unknown Variances Hypothesis Test - Excel12m
- Two Means - Unknown, Equal Variance15m
- Two Means - Unknown, Equal Variances Hypothesis Test - Excel9m
- Two Means - Known Variance12m
- Two Means - Sigma Known Hypothesis Test - Excel21m
- Two Means - Matched Pairs (Dependent Samples)42m
- Matched Pairs Hypothesis Test - Excel12m
- Two Variances and F Distribution29m
- Two Variances - Graphing Calculator16m
- 11. Correlation1h 24m
- 12. Regression3h 33m
- Linear Regression & Least Squares Method26m
- Residuals12m
- Coefficient of Determination12m
- Regression Line Equation and Coefficient of Determination - Excel8m
- Finding Residuals and Creating Residual Plots - Excel11m
- Inferences for Slope31m
- Enabling Data Analysis Toolpak1m
- Regression Readout of the Data Analysis Toolpak - Excel21m
- Prediction Intervals13m
- Prediction Intervals - Excel19m
- Multiple Regression - Excel29m
- Quadratic Regression15m
- Quadratic Regression - Excel10m
- 13. Chi-Square Tests & Goodness of Fit2h 21m
- 14. ANOVA2h 28m
10. Hypothesis Testing for Two Samples
Two Means - Matched Pairs (Dependent Samples)
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Join thousands of students who trust us to help them ace their exams!Watch the first videoMultiple Choice
Construct a 95% confidence interval for the mean difference of the population given the following information. Would you reject or fail to reject the claim that there is no difference in the mean?
A
The 95% confidence interval = ; Fail to reject the claim that there is no difference in the mean.
B
The 95% confidence interval = ; Fail to reject the claim that there is no difference in the mean.
C
The 95% confidence interval = (−1.686,0.230); Reject the claim that there is no difference in the mean.
D
The 95% confidence interval = ; Reject the claim that there is no difference in the mean.
1 Comment
Verified step by step guidance1
Step 1: Identify the given information. The sample mean difference is \( \bar{d} = -0.728 \), the standard deviation of the differences is \( s_d = 1.34 \), and the sample size is \( n = 10 \). The confidence level is 95%.
Step 2: Calculate the standard error of the mean difference using the formula \( SE = \frac{s_d}{\sqrt{n}} \). Substitute \( s_d = 1.34 \) and \( n = 10 \) into the formula.
Step 3: Determine the critical value (\( t^* \)) for a 95% confidence interval with \( n-1 = 9 \) degrees of freedom. Use a t-distribution table or statistical software to find \( t^* \).
Step 4: Compute the margin of error (ME) using the formula \( ME = t^* \cdot SE \). Multiply the critical value by the standard error calculated in Step 2.
Step 5: Construct the confidence interval using the formula \( \text{CI} = \bar{d} \pm ME \). Subtract and add the margin of error to the sample mean difference \( \bar{d} \) to find the lower and upper bounds of the confidence interval. Finally, compare the interval to zero to determine whether to reject or fail to reject the claim that there is no difference in the mean.
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