In: Statistics and Probability
Researchers interviewed street prostitutes in Canada and the United States. The mean age of the 100 Canadian prostitutes upon entering prostitution was 18 with a standard deviation of seven. The mean age of the 130 United States prostitutes upon entering prostitution was 20 with a standard deviation of nine. Is the mean age of entering prostitution in Canada lower than the mean age in the United States? Test at a 1% significance level.
NOTE: If you are using a Student's t-distribution for the problem, including for paired data, you may assume that the underlying population is normally distributed. (In general, you must first prove that assumption, though.)
Part (d)
State the distribution to use for the test. (Enter your answer in
the form z or tdf where df is the degrees of freedom. Round your
answer to two decimal places.)
Part (e)
What is the test statistic? (If using the z distribution round your
answer to two decimal places, and if using the t distribution round
your answer to three decimal places.)
Part (f)
What is the p-value? (Round your answer to four decimal
places.)
(f part 2)Explain what the p-value means for this
problem.
If H0 is true, then there is a chance equal to the p-value that the sample mean age of entering prostitution in Canada is at least 2 less than the sample mean age of entering prostitution in the United States.
If H0 is false, then there is a chance equal to the p-value that the sample mean age of entering prostitution in Canada is at least 2 more than the sample mean age of entering prostitution in the United States.
If H0 is true, then there is a chance equal to the p-value that the sample mean age of entering prostitution in Canada is at least 2 more than the sample mean age of entering prostitution in the United States.
If H0 is false, then there is a chance equal to the p-value that the sample mean age of entering prostitution in Canada is at least 2 less than the sample mean age of entering prostitution in the United States.
Result:
Researchers interviewed street prostitutes in Canada and the United States. The mean age of the 100 Canadian prostitutes upon entering prostitution was 18 with a standard deviation of seven. The mean age of the 130 United States prostitutes upon entering prostitution was 20 with a standard deviation of nine. Is the mean age of entering prostitution in Canada lower than the mean age in the United States? Test at a 1% significance level.
NOTE: If you are using a Student's t-distribution for the problem, including for paired data, you may assume that the underlying population is normally distributed. (In general, you must first prove that assumption, though.)
Part (d)
State the distribution to use for the test. (Enter your
answer in the form z or tdf where df is the degrees of freedom.
Round your answer to two decimal places.)
t distribution used.
df= 100+130-2=228
Part (e)
What is the test statistic? (If using the z distribution
round your answer to two decimal places, and if using the t
distribution round your answer to three decimal
places.)
test statistic = -1.836
Part (f)
What is the p-value? (Round your answer to four decimal
places.)
P value = 0.0339
(f part 2)Explain what the p-value means for this
problem.
If H0 is true, then there is a chance equal to the p-value that the sample mean age of entering prostitution in Canada is at least 2 less than the sample mean age of entering prostitution in the United States.
calculations:
Ho: µ1 = µ2 H1: µ1 < µ2
Lower tail test
Pooled-Variance t Test for the Difference Between Two Means |
|
(assumes equal population variances) |
|
Data |
|
Hypothesized Difference |
0 |
Level of Significance |
0.01 |
Population 1 Sample |
|
Sample Size |
100 |
Sample Mean |
18 |
Sample Standard Deviation |
7 |
Population 2 Sample |
|
Sample Size |
130 |
Sample Mean |
20 |
Sample Standard Deviation |
9 |
Intermediate Calculations |
|
Population 1 Sample Degrees of Freedom |
99 |
Population 2 Sample Degrees of Freedom |
129 |
Total Degrees of Freedom |
228 |
Pooled Variance |
67.1053 |
Standard Error |
1.0896 |
Difference in Sample Means |
-2.0000 |
t Test Statistic |
-1.8355 |
Lower-Tail Test |
|
Lower Critical Value |
-2.3428 |
p-Value |
0.0339 |
Do not reject the null hypothesis |