Question

Two different simple random samples are drawn from two different populations. The first sample consists of 30 people with 15 having a common attribute. The second sample consists of 2100 people with 1477 of them having the same common attribute. Compare the results from a hypothesis test of p1 =p2 (with a 0.05 significance level) and a 95% confidence interval estimate of p1 - p2 What are the null and alternative hypotheses for the hypothesis test. Identify the test statistic.(Round to two decimal places as needed. Identify the critical value(s).(Round to three decimal places as needed. Use a comma to separate answers as needed.) What is the conclusion based on the hypothesis test? The test statistic is/is not in the critical region, so reject/ fail to reject the null hypothesis. There is/is not insufficient evidence to conclude that p1 is not equal to p2 The 95% confidence interval? Since 0 is included/not included in the interval, it indicates to reject/fail to reject the null hypothesis. #8aa

Answer #1

Two different simple random samples are drawn from two different
populations. The first sample consists of 20 people with 11 having
a common attribute. The second sample consists of 1800 people with
1283 of them having the same common attribute. Compare the results
from a hypothesis test of p1 =p2 (with a
0.05 significance level) and a 95% confidence interval estimate
of p1 - p2
What are the null and alternative hypotheses for the
hypothesis test?
Identify the test statistic.(Round...

Two different simple random samples are drawn from two different
populations. The first sample consists of 20 people with 10 having
a common attribute. The second sample consists of 2200 people with
1595 of them having the same common attribute. Compare the results
from a hypothesis test of p1 = p2 (with a 0.01 significance
level) and a 99% confidence interval estimate of p1 - p2.
1. Identify the test statistic ____ (round to 2 decimal
places)
2. Identify the...

Two different simple random samples are drawn from two different
populations. The first sample consists of 30 people with 14 having
a common attribute. The second sample consists of 1800 people with
1294 of them having the same common attribute. Compare the results
from a hypothesis test of p1= p2 (with a 0.05 significance level)
and a 95% confidence interval estimate of p1−p2.
Identify hypothesis, t statistic, critical value, p value

Two different simple random samples are drawn from two different
populations. The first sample consists of 30 people with 15 having
a common attribute. The second sample consists of 1900 people with
1379 of them having the same common attribute. Compare the results
from a hypothesis test of p1=p2 (with a 0.01 significance level)
and a 99% confidence interval estimate of p1−p2.
Find hypothesis, test statistic, critical value, p value, and
95% CL.

Two different simple random samples are drawn from two different
populations. The first sample consists of
2020
people with
1111
having a common attribute. The second sample consists of
22002200
people with
15801580
of them having the same common attribute. Compare the results
from a hypothesis test of
p 1p1equals=p 2p2
(with a
0.050.05
significancelevel) and a
9595%
confidence interval estimate of
p 1p1minus−p 2p2.

In a random sample of males, it was found that 21 write with
their left hands and 217 do not.
In a random sample of females, it was found that 63 write with
their left hands and 436 do not.
Use a 0.01 significance level to test the claim that the rate of
left-handedness among males is less than that among females.
Complete parts (a) through (c) below.
a.?Test the claim using a hypothesis test.
Consider the first sample to...

Independent random samples, each containing 60 observations,
were selected from two populations. The samples from populations 1
and 2 produced 42 and 30 successes, respectively.
Test H0:(p1−p2)=0 against Ha:(p1−p2)≠0. Use α=0.09
(a) The test statistic is
(b) The P-value is
(c) The final conclusion is
A. We can reject the null hypothesis that
(p1−p2)=0(p1−p2)=0 and accept that (p1−p2)≠0(p1−p2)≠0.
B. There is not sufficient evidence to reject the
null hypothesis that (p1−p2)=0(p1−p2)=0.

Independent random samples, each containing 80 observations,
were selected from two populations. The samples from populations 1
and 2 produced 16 and 10 successes, respectively.
Test H0:(p1−p2)=0 against Ha:(p1−p2)≠0. Use α=0.1
(a) The test statistic is
(b) The P-value is
(c) The final conclusion is
A. There is not sufficient evidence to reject the
null hypothesis that (p1−p2)=0
B. We can reject the null hypothesis that
(p1−p2)=0 and accept that (p1−p2)≠0

Independent random samples, each containing 70 observations,
were selected from two populations. The samples from populations 1
and 2 produced 42 and 35 successes, respectively. Test H0:(p1−p2)=0
H 0 : ( p 1 − p 2 ) = 0 against Ha:(p1−p2)≠0 H a : ( p 1 − p 2 ) ≠
0 . Use α=0.06 α = 0.06 . (a) The test statistic is (b) The P-value
is (c) The final conclusion is A. There is not sufficient evidence...

1 point) Independent random samples, each containing 80
observations, were selected from two populations. The samples from
populations 1 and 2 produced 30 and 23 successes,
respectively.
Test H0:(p1−p2)=0H0:(p1−p2)=0 against Ha:(p1−p2)≠0Ha:(p1−p2)≠0. Use
α=0.01α=0.01.
(a) The test statistic is
(b) The P-value is
(c) The final conclusion is
A. We can reject the null hypothesis that
(p1−p2)=0(p1−p2)=0 and accept that (p1−p2)≠0(p1−p2)≠0.
B. There is not sufficient evidence to reject the
null hypothesis that (p1−p2)=0(p1−p2)=0.

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