In the lead-up to the 2024 U.S. elections, a nationwide poll was conducted one month before election day to measure public support for Issue 1. The poll surveyed 1,000 registered voters, evenly split between Democrats and Republicans, to determine their stance on the issue. Compare the proportions of Democrats and Republicans who support the issue and assess whether the level of support differs significantly between the two groups. image10.jpg image9.jpg Provide the interpretation of the test statistic. The difference in the sample proportions of [BLANK-1] is [BLANK-2] standard errors [BLANK-3](above/below) the null hypothesized value of [BLANK-4].  

Two researchers want to test the hypotheses Ho: μ1 =μ2. Researcher 1 does a study and has 100 observations in each group and t= 3.05.  Researcher 2 does a study and has 100 observations in each group and t= 2.04 (variances were the same for all groups for both researchers). Which researcher is more likely to reject the null hypothesis?

In the lead-up to the 2024 U.S. elections, a nationwide poll was conducted one month before election day to measure public support for Issue 1. The poll surveyed 1,000 registered voters, evenly split between Democrats and Republicans, to determine their stance on the issue. Compare the proportions of Democrats and Republicans who support the issue and assess whether the level of support differs significantly between the two groups. image10.jpg image9.jpg Give the interpretation of the p-value for the two-sample z-test and report appropriate decision. Interpretation: There is a [BLANK-1]% chance of getting a test statistic of [BLANK-2] or more extreme assuming the null hypothesis of no difference were true. Decision: [BLANK-3] (reject the null / fail to reject the null)

table A and C.pdf

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