Final answer:
The point estimate for Democratic voters is 0.5175, the sample size is sufficient, and after a hypothesis test with α = 0.05, we fail to reject the null hypothesis, indicating the Republican candidate could have a chance of winning.
Step-by-step explanation:
To address the student's question regarding the congressional district voter preferences, we shall perform a hypothesis test and calculate the point estimate for the proportion of voters who plan to vote Democratic.
Part A: Point Estimate
The point estimate for the proportion of voters who plan to vote Democratic can be found by dividing the number of potential voters who indicated they would vote for the Democratic candidate by the total number of potential voters polled. Thus:
Point estimate = 621 / 1200 = 0.5175
Part B: Sample Size Sufficiency
The sample size is large enough if np(1 - p) ≥ 5, where n is the sample size and p is the estimated proportion. With 1200 voters polled and an estimated proportion of 0.5175:
1200 * 0.5175 * (1 - 0.5175) = 1200 * 0.5175 * 0.4825 ≈ 300, which is much greater than 5, indicating the sample is sufficiently large.
Part C: Hypothesis Test
To determine if the Republican candidate has a chance to win, we use a hypothesis test:
- Null Hypothesis (H0): p = 0.5 (The proportion of voters for the Democratic candidate is 50%)
- Alternative Hypothesis (H1): p ≠ 0.5 (The proportion of voters for the Democratic candidate is not 50%)
- Significance Level (α) = 0.05
- Calculate the test statistic using the formula z = (p' - p)/√[p(1 - p)/n], where p' is the sample proportion and n is the sample size. This yields:
- The critical value for α = 0.05 (two-tailed test) is approximately ±1.96
- Make a decision: if the test statistic falls within the critical region, we reject H0. Otherwise, we fail to reject H0.
Based on the calculation:
z = (0.5175 - 0.5)/√[0.5(1 - 0.5)/1200] = 0.0175 / 0.0144 ≈ 1.215
Since the calculated z-value does not exceed the critical value of ±1.96, we fail to reject H0. This means with a significance level of 0.05, there is not enough evidence to say that the proportion is different from 50%. Therefore, it's possible that the Republican candidate has a chance of winning the election.