In: Statistics and Probability
A study is made of residents in Phoenix and its suburbs
concerning the proportion of residents who subscribe to
Sporting News. A random sample of
n1 = 88urban residents showed that
r1 = 13 subscribed, and a random
sample of n2 = 99 suburban residents
showed that r2 = 20 subscribed. Does
this indicate that a higher proportion of suburban residents
subscribe to Sporting News? Use a 5% level of
significance.
What are we testing in this problem?
difference of means
paired difference
single proportion
single meandifference of proportions
(a) What is the level of significance?
State the null and alternate hypotheses.
H0: p1 = p2; H1: p1 > p2
H0: p1 = p2; H1: p1 < p2
H0: p1 < p2; H1: p1 = p2
H0: p1 = p2; H1: p1 ≠ p2
(b) What sampling distribution will you use? What assumptions are
you making?
The Student's t. We assume the population distributions are approximately normal.
The standard normal. The number of trials is sufficiently large.
The Student's t. The number of trials is sufficiently large.
The standard normal. We assume the population distributions are approximately normal.
What is the value of the sample test statistic? (Test the
difference p1 − p2. Do not
use rounded values. Round your final answer to two decimal
places.)
(c) Find (or estimate) the P-value.
P-value > 0.250
0.125 < P-value < 0.250
0.050 < P-value < 0.125
0.025 < P-value < 0.050
0.005 < P-value < 0.025
P-value < 0.005
Sketch the sampling distribution and show the area corresponding to
the P-value.
(d) Based on your answers in parts (a) to (c), will you reject or
fail to reject the null hypothesis? Are the data statistically
significant at level α?
At the α = 0.05 level, we reject the null hypothesis and conclude the data are statistically significant.
At the α = 0.05 level, we reject the null hypothesis and conclude the data are not statistically significant.
At the α = 0.05 level, we fail to reject the null hypothesis and conclude the data are statistically significant.
At the α = 0.05 level, we fail to reject the null hypothesis and conclude the data are not statistically significant.
(e) Interpret your conclusion in the context of the
application.
There is sufficient evidence at the 0.05 level to conclude that the proportion of suburban residents subscribing to Sporting News is higher.
There is insufficient evidence at the 0.05 level to conclude that the proportion of suburban residents subscribing to Sporting News is higher.
e) There us insufficient evidence at the 0.05 level of significance to conclude that the proportion of suburban residents subscribing to Sporting News is higher.
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