Perception and Reality In a presidential election, 308 out of 611 voters surveyed said that they voted for the candidate who won (based on data from ICR Survey Research Group). Use a 0.05 significance level to test the claim that among all voters, the percentage who believe that they voted for the winning candidate is equal to 43%, which is the actual percentage of votes for the winning candidate. What does the result suggest about voter perceptions?
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 -value = 0.465 > 0.01, we FAIL TO REJECT . There is NOT ENOUGH evidence to suggest : ≠ 0.75
B
Because P-value = 0.465 > α= 0.01, we REJECT . There is ENOUGH evidence to suggest Ha: p ≠ 0.75
C
Because P-value = 0.233 > α= 0.01, we REJECT H0. There is ENOUGH evidence to suggest Ha: p ≠ 0.75
D
Because P-value = 0.233 > 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 = 0.75, and the alternative hypothesis is Hₐ: p ≠ 0.75 (since this is a two-tailed test).
Step 2: Calculate the sample proportion (p̂). The formula for the sample proportion is p̂ = x / n, where x is the number of successes (28) and n is the sample size (40).
Step 3: Verify the conditions for performing the hypothesis test. Ensure that both np ≥ 5 and nq ≥ 5, where q = 1 - p. Substitute the values of n, p, and q to check these conditions.
Step 4: Compute the test statistic (z-value). The formula for the z-value is z = (p̂ - p) / √[p(1 - p) / n]. Substitute the values of p̂, p, and n into the formula.
Step 5: Compare the calculated z-value to the critical z-value for α = 0.01 in a two-tailed test. Alternatively, calculate the p-value and compare it to α. If the p-value ≤ α, reject H₀; otherwise, fail to reject H₀.
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