In: Statistics and Probability
A blind taste test is conducted to determine which of two colas, Brand A or Brand B, individuals prefer. Individuals are randomly asked to drink one of the two types of cola first, followed by the other cola, and then asked to disclose the drink they prefer. Results of the taste test indicate that
5959
of
100100
individuals prefer Brand A. Complete parts a through c.
(a) Conduct a hypothesis test (preferably using technology)
Upper H 0H0:
p equals p 0p=p0
versus
Upper H 1H1:
pnot equals≠p 0p0
for
p 0p0equals=0.480.48,
0.490.49,
0.500.50,
...,
0.680.68,
0.690.69,
0.700.70
at the
alphaαequals=0.05
level of significance. For which values of
p 0p0
do you not reject the null hypothesis? What do each of the values of
p 0p0
represent?Do not reject the null hypothesis for the values of
p 0p0
between
0.500.50
and
0.680.68,
inclusively.
(Type integers or decimals as needed.)
(b) Construct a 95% confidence interval for the proportion of individuals who prefer Brand A.
The lower bound is
. 494.494.
The upper bound is
. 686.686.
(Round to three decimal places as needed.)
(c) Suppose you changed the level of significance in conducting the hypothesis test to
alphaαequals=0.01.
What would happen to the range of values for
p 0p0
for which the null hypothesis is not rejected? Why does this make sense? Choose the correct answer below.
A.
The range of values would increase because the corresponding confidence interval would decrease in size.
B.
The range of values would decrease because the corresponding confidence interval would increase in size.
C.
The range of values would increase because the corresponding confidence interval would increase in size.
Your answer is correct.
D.
The range of values would decrease because the corresponding confidence interval would decrease in size.
How would I do part a on statcrunch