A fitness researcher believes a new workout program increases average treadmill endurance beyond . A sample of adults who completed the program had the following endurance times. Test whether the data support the researcher's claim using & .
Table of contents
- 1. Intro to Stats and Collecting Data1h 14m
- 2. Describing Data with Tables and Graphs1h 55m
- 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
9. Hypothesis Testing for One Sample
Performing Hypothesis Tests: Means
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Join thousands of students who trust us to help them ace their exams!Watch the first videoMultiple Choice
Test the claim about the population mean at the given level of significance. Assume the population is normally distributed. Find the -value and determine whether you should reject or fail to reject the null hypothesis.
Claim: , ,
Sample: ,
A
P-val: 0.026; Reject the null hypothesis
B
P-val: 0.026; Fail to reject the null hypothesis
C
P-val: 0.013; Reject the null hypothesis
D
P-val: 0.013; Fail to reject the null hypothesis
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Verified step by step guidance1
Step 1: Identify the null hypothesis (H₀) and the alternative hypothesis (H₁). The null hypothesis is H₀: μ = 1020, and the alternative hypothesis is H₁: μ ≠ 1020. This is a two-tailed test because the claim is that the population mean is not equal to 1020.
Step 2: Calculate the test statistic using the formula for the z-test: z = (x̄ - μ) / (σ / √n), where x̄ is the sample mean, μ is the population mean under the null hypothesis, σ is the population standard deviation, and n is the sample size. Substitute the given values: x̄ = 990, μ = 1020, σ = 85, and n = 40.
Step 3: Determine the P-value for the calculated z-test statistic. Since this is a two-tailed test, the P-value is found by doubling the area in the tails of the standard normal distribution corresponding to the absolute value of the z-test statistic.
Step 4: Compare the P-value to the significance level α = 0.01. If the P-value is less than α, reject the null hypothesis. Otherwise, fail to reject the null hypothesis.
Step 5: Based on the comparison, make a decision about the null hypothesis and interpret the result in the context of the problem. If the null hypothesis is rejected, it means there is sufficient evidence to support the claim that the population mean is not equal to 1020. If the null hypothesis is not rejected, it means there is insufficient evidence to support the claim.
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