Answer:
Step-by-step explanation:
STATE:
Parameter of interest: Proportion of Juniors attending Prom (p1) and proportion of Seniors attending Prom (p2)
Statistic: Proportions from the random samples of Juniors and Seniors attending Prom
Hypotheses:
Null Hypothesis (H0): p1 = p2 (The proportion of Juniors attending Prom is equal to the proportion of Seniors attending Prom)
Alternative Hypothesis (HA): p2 > p1 (The proportion of Seniors attending Prom is higher than the proportion of Juniors attending Prom)
Significance Level: 0.05
PLAN:
Name of procedure: Two-sample z-test for proportions
Check Conditions:
Random Sampling: The samples are randomly selected, and both groups are less than 10% of the population size.
Independent Samples: The samples are independent, and the selection of Juniors for the sample does not affect the selection of Seniors.
Success-Failure Condition: Both sample sizes are greater than or equal to 10, and the expected number of successes and failures in both groups are greater than or equal to 5.
DO:
Mean: The difference in sample proportions: p2 - p1 = 29/45 - 28/50 = 0.2222
Standard Deviation: sqrt((p1*(1-p1)/n1) + (p2*(1-p2)/n2)) = sqrt((0.560.44/50) + (0.64440.3556/45)) = 0.122
Picture: This is a right-tailed test.
General Formula: (p2 - p1) - null value / standard error
Specific Formula: (0.2222 - 0) / 0.122 = 1.820
Test Statistic: The test statistic is 1.820.
P-value: Using a z-table or calculator, the p-value is 0.034.
CONCLUDE:
Since the p-value of 0.034 is less than the significance level of 0.05, we reject the null hypothesis. The data provide convincing evidence that a higher proportion of Seniors are going to prom than Juniors at this high school.