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In: Statistics and Probability

Exercise 9-59 Algo In order to conduct a hypothesis test for the population proportion, you sample...

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.

  • 0.025 p-value < 0.05
  • 0.05 p-value < 0.10
  • p-value 0.10
  • p-value < 0.01

  • 0.01 p-value < 0.025

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.

  • 0.01 p-value < 0.025
  • 0.025 p-value < 0.05
  • 0.05 p-value < 0.10
  • p-value 0.10
  • 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.

Solutions

Expert Solution

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.


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