Lightning Deaths The graph in Cumulative Review Exercise 5 was created by using data consisting of 242 male deaths from lightning strikes and 64 female deaths from lightning strikes. Assume that these data are randomly selected lightning deaths and proceed to test the claim that the proportion of male deaths is greater than . Use a 0.01 significance level. Any explanation for the result?
Table of contents
- 1. Intro to Stats and Collecting Data55m
- 2. Describing Data with Tables and Graphs1h 55m
- 3. Describing Data Numerically1h 45m
- 4. Probability2h 16m
- 5. Binomial Distribution & Discrete Random Variables2h 33m
- 6. Normal Distribution and Continuous Random Variables1h 38m
- 7. Sampling Distributions & Confidence Intervals: Mean1h 53m
- 8. Sampling Distributions & Confidence Intervals: Proportion1h 12m
- 9. Hypothesis Testing for One Sample2h 19m
- 10. Hypothesis Testing for Two Samples3h 22m
- 11. Correlation1h 6m
- 12. Regression1h 4m
- 13. Chi-Square Tests & Goodness of Fit1h 20m
- 14. ANOVA1h 0m
9. Hypothesis Testing for One Sample
Performing Hypothesis Tests: Proportions
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Join thousands of students who trust us to help them ace their exams!Watch the first videoMultiple Choice
Perform a 2-tailed hypothesis test for the true proportion of successes using the given values:
, , , & claim is

A
Because P-value = 0.00004 < α= 0.01, we FAIL TO REJECT H0. There is NOT ENOUGH evidence to suggest Ha: p ≠ 0.75
B
Because P-value = 0.00004 < α= 0.01, we REJECT H0. There is ENOUGH evidence to suggest Ha: p ≠ 0.75
C
Because P-value = 0.00008 < α= 0.01, we REJECT H0. There is ENOUGH evidence to suggest Ha: p ≠ 0.75
D
Because P-value = 0.00008 < α= 0.01, we FAIL TO REJECT H0. There is NOT ENOUGH evidence to suggest Ha: p ≠ 0.75

1
Step 1: Define the null hypothesis (H₀) and the alternative hypothesis (Hₐ). The null hypothesis is H₀: p = 0.25, and the alternative hypothesis is Hₐ: p ≠ 0.25, since this is a two-tailed test.
Step 2: Calculate the sample proportion (p̂). The formula for p̂ is p̂ = x / n, where x is the number of successes (42) and n is the sample size (100).
Step 3: Verify the conditions for performing a hypothesis test for proportions. Ensure that both np and nq are greater than or equal to 5, where q = 1 - p. For np, calculate np = n * p, and for nq, calculate nq = n * q.
Step 4: Compute the test statistic (z-value). The formula for the z-value is z = (p̂ - p) / √(p * q / n), where p̂ is the sample proportion, p is the claimed proportion, q = 1 - p, and n is the sample size.
Step 5: Compare the calculated z-value to the critical z-value for α = 0.10 (two-tailed test) or use the p-value approach. If the p-value is less than α, reject the null hypothesis; otherwise, fail to reject the null hypothesis.
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