Construct the indicated confidence interval for the difference between population proportionsAssume that the samples are independent and that they have been randomly selected. x₁= 59, n₁= 122 and x₂= 74, n₂= 125; Construct a 98% confidence interval for the difference between population proportions p₁- p₂.

Group of answer choices

-0.255 < p₁- p₂< 0.039

0.360 < p₁- p₂< 0.607

0.337 < p₁- p₂< 0.631

-0.232 < p₁- p₂< 0.607

Flag question: Question 2Question 25pts

Assume that you plan to use a significance level of= 0.05 to test the claim that p₁= p₂. Use the given sample sizes and numbers of successes to find the z test statistic for the hypothesis test. In a vote on the Clean Water bill, 46% of the 205 Democrats voted for the bill while 47% of the 230 Republicans voted for it.

Group of answer choices

z = -0.178

z = -0.125

z = -0.230

z = -0.209

Flag question: Question 3Question 35pts

Solve the problem. The table shows the number satisfied in their work in a sample of working adults with a college education and in a sample of working adults without a college education. Assume that you plan to use a significance level of= 0.05 to test the claim thatFind the critical value(s) for this hypothesis test. Do the data provide sufficient evidence that a greater proportion of those with a college education are satisfied in their work?

# in sample: college education - 175 no college education - 168

# satisfied in their work: college education - 85 no college education - 80

Group of answer choices

z = -1.645; yes

z = 1.645; no

z = 1.96; yes

z = 1.96; no

Flag question: Question 4Question 45pts

Construct the indicated confidence interval for the difference between the two population means. Assume that the two samples are independent simple random samples selected from normally distributed populations. Also assume that the population standard deviations are equal (₁=₂), so that the standard error of the difference between means is obtained by pooling the sample variances . A paint manufacturer wanted to compare the drying times of two different types of paint. Independent simple random samples of 11 cans of type 1 and 9 cans of type 2 were selected and applied to similar surfaces. The drying times, in hours, were recorded. The summary statistics are as follows. type 1 - type 2

x1 = 70.1 - x2 = 68.3

s1 = 3.8 - s2 = 3.3

n1 = 11 - n2 = 9 Construct a 99% confidence interval for the difference between the mean drying time for paint type 1 and the mean drying time for paint type 2.

Group of answer choices

-3.58 hrs <₁-₂< 7.18 hrs

-2.84 hrs <₁-₂< 6.44 hrs

-2.31 hrs <₁-₂< 5.91 hrs

-1.43 hrs <₁-₂< 5.03 hours

Flag question: Question 5Question 55pts

Construct the indicated confidence interval for the difference between the two population means. Assume that the two samples are independent simple random samples selected from normally distributed populations. Do not assume that the population standard deviations are equal. A researcher was interested in comparing the resting pulse rates of people who exercise regularly and the pulse rates of people who do not exercise regularly. She obtained independent simple random samples of 16 people who do not exercise regularly and 12 people who do exercise regularly. The resting pulse rates (in beats per minute) were recorded and the summary statistics are as follows. do not exercise regularly - exercise regularly

x1 = 72.2 - x2 = 68.0

s1 = 10.9 - s2 = 8.2

n1 = 16 - n2 = 12 Construct a 95% confidence interval for₁-₂, the difference between the mean pulse rate of people who do not exercise regularly and the mean pulse rate of people who exercise regularly.

Group of answer choices

-3.55 beats/min <₁-₂< 11.95 beats/min

-3.24 beats/min <₁-₂< 11.64 beats/min

-3.22 beats/min <₁-₂< 11.62 beats/min

-3.53 beats/min <₁-₂< 11.93 beats/min

Flag question: Question 6Question 65pts

Construct a confidence interval for_d, the mean of the differences d for the population of paired data. Assume that the population of paired differences is normally distributed. A test of abstract reasoning is given to a random sample of students before and after they completed a formal logic course. The results are given below. Construct a 95% confidence interval for the mean difference between the before and after scores. before: 74, 83, 75, 88, 84, 63, 93, 84, 91, 77

after: 73, 77, 70, 77, 74, 67, 95, 83, 84, 75

Group of answer choices

0.8 <_d< 6.6

1.0 <_d< 6.4

0.2 <_d< 7.2

1.2 <_d< 5.7

Flag question: Question 7Question 75pts

Construct a confidence interval for_d, the mean of the differences d for the population of paired data. Assume that the population of paired differences is normally distributed. If= 3.125, S_d= 2.911, and n = 8, determine a 90 percent confidence interval for_d.

Group of answer choices

1.175 <_d< 5.075

2.435 <_d< 3.815

1.175 <_d< 3.815

2.435 <_d< 5.075

Flag question: Question 8Question 87pts

Using the Textbook Data Set "The Spoken Word" (which can be downloaded as explained in the Word Doc notes and is called "Word Counts by Males and Females" in the older edition), use all of the data in the first two columns (assume that the paired sample data are simple random samples and the differences distribution is approximately normal); Consider the claim that males in a couple speak fewer words each day than females.

Group of answer choices

t = -1.560, there is NOT sufficient evidence to support this claim.

t = -1.560, there is sufficient evidence to support this claim

t = -1.673, there is NOT sufficient evidence to support this claim

t = -1.673, there is sufficient evidence to support this claim

Flag question: Question 9Question 98pts

The ages of randomly selected passenger cars and taxis were recorded by textbook author Mario Triola when he visited Dublin. Use a 0.05 significance level to test the claim that both personal cars and taxis in Dublin have the same variation in ages.

Car Ages: 4, 0, 8, 11, 14, 3, 4, 4, 3, 5, 8, 3, 3, 7, 4, 6, 6, 1, 8, 2, 15, 11, 4, 1, 6, 1, 8

Taxi Ages: 8, 8, 0, 3, 8, 4, 3, 3, 6, 11, 7, 7, 6, 9, 5, 10, 8, 4, 3, 4

Group of answer choices

F = 1.8714, We fail to reject the claim

F = 1.8714, We reject the claim

F = 2.3937, we fail to reject the claim

F = 2.3937, we reject the claim