In: Statistics and Probability
Exercise 9-59 Algo
In order to conduct a hypothesis test for the population proportion, you sample 500 observations that result in 200 successes. (You may find it useful to reference the appropriate table: z table or t table)
H0: p ≥ 0.41; HA: p < 0.41.
a-1. Calculate the value of the test statistic. (Negative value should be indicated by a minus sign. Round intermediate calculations to at least 4 decimal places and final answer to 2 decimal places.)
a-2. Find the p-value.
p-value < 0.01
a-3. At the 0.05 significance level, What is the conclusion?
Do not reject H0 since the p-value is smaller than significance level.
Do not reject H0 since the p-value is greater than significance level.
Reject H0 since the p-value is smaller than significance level.
Reject H0 since the p-value is greater than significance level.
a-4. Interpret the results at αα = 0.05
We cannot conclude that the population mean is less than 0.41.
We conclude that the population mean is less than 0.41.
We cannot conclude that the population proportion is less than 0.41.
We conclude that the population proportion is less than 0.41.
H0: p = 0.41; HA: p ≠ 0.41.
b-1. Calculate the value of the test statistic. (Negative value should be indicated by a minus sign. Round intermediate calculations to at least 4 decimal places and final answer to 2 decimal places.)
b-2. Find the p-value.
p-value < 0.01
b-3. At the 0.05 significance level, What is the conclusion?
Reject H0 since the p-value is greater than significance level.
Reject H0 since the p-value is smaller than significance level.
Do not reject H0 since the p-value is greater than significance level.
Do not reject H0 since the p-value is smaller than significance level.
b-4. Interpret the results at αα = 0.05.
We conclude that the population mean differs from 0.41.
We cannot conclude that the population mean differs from 0.41.
We conclude the population proportion differs from 0.41.
We cannot conclude that the population proportion differs from 0.41.
a1)
Test statistic,
z = (pcap - p)/sqrt(p*(1-p)/n)
z = (0.4 - 0.41)/sqrt(0.41*(1-0.41)/500)
z = -0.45
a2)
P-value Approach
P-value = 0.3264
p-value > 0.10
a3)
Do not reject H0 since the p-value is greater than significance level
a4)
We cannot conclude that the population mean is less than 0.41.
b1)
Test statistic,
z = (pcap - p)/sqrt(p*(1-p)/n)
z = (0.4 - 0.41)/sqrt(0.41*(1-0.41)/500)
z = -0.45
b2)
P-value = 0.6527
As P-value >= 0.05, fail to reject null hypothesis.
p-value > 0.10
b3)
Do not reject H0 since the p-value is greater than significance level
a4)
We cannot conclude that the population mean differs from 0.41.