Additionally a random sample of 1000 registered voters in

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Reference no: EM13632022

1. A candidate for one of Ohio's two U.S. Senate seats wishes to compare her support among registered voters in the northern half of the state with her support among registered voters in the southern half of the state. A random sample of 1000 registered voters in the northern half of the state is selected, of which 546 support the candidate. Additionally, a random sample of 1000 registered voters in the southern half of the state is selected, of which 475 support the candidate. Reference: Ref 20-1 The estimate for the proportion of registered adults in the northern half of the state who support this candidate is

A. 0.183.

B. 0.475.

C. 0.546.

D. 0.825.

2. A candidate for one of Ohio's two U.S. Senate seats wishes to compare her support among registered voters in the northern half of the state with her support among registered voters in the southern half of the state. A random sample of 1000 registered voters in the northern half of the state is selected, of which 546 support the candidate. Additionally, a random sample of 1000 registered voters in the southern half of the state is selected, of which 475 support the candidate. Reference: Ref 20-1 The estimate for the proportion of registered adults in the southern half of the state who support this candidate is

A. 0.183.

B. 0.475.

C. 0.546.

D. 0.825.

3. A candidate for one of Ohio's two U.S. Senate seats wishes to compare her support among registered voters in the northern half of the state with her support among registered voters in the southern half of the state. A random sample of 1000 registered voters in the northern half of the state is selected, of which 546 support the candidate. Additionally, a random sample of 1000 registered voters in the southern half of the state is selected, of which 475 support the candidate. Reference: Ref 20-1 The sampling distribution for the difference in the sample proportions has standard error

A. 0.300.

B. 0.022.

C. 0.152.

D. 0.005.

Reference no: EM13632022

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