In: Statistics and Probability
The 30 Major League Baseball teams are divided into two "leagues" of 15 teams each: the American League and the National League. A random sample of 55 American League players and a random sample of 55 National League players were selected. The sample mean and standard deviation of the salaries of the sampled players is shown in the table below.
League | Mean salary in millions USD | SD of salary in millions USD |
American | 5.492 | 4.552 |
National | 5.544 | 6.075 |
Note: The degrees of freedom for this problem is df = 100.103603. Round all results to 4 decimal places. Remember not to round for intermediate calculations!
1. A statistically-minded baseball fan wants to use statistical
inference to determine if the salaries of the players in the
American League are different from the salaries of the players in
the National League. Select the appropriate hypotheses for this
research question.
A. ?0H0: ?1μ1 = ?2μ2 vs. ??HA: ?1μ1
< ?2μ2
B. ?0H0: ?1μ1 = ?2μ2 vs. ??HA: ?1≠μ1≠
?2μ2
C. ?0H0: ?1μ1 = ?2μ2 vs. ??HA: ?1μ1
> ?2μ2
2. Calculate the appropriate test statistic. ? z t X^2 F =
3. Calculate the p-value.
4. Construct a 99% confidence interval for the difference in American League and National League salaries, ?????????μAmerican - ?????????μNational. ( , )
1) the appropriate hypotheses for this research question
is
B. ?0:μ1 = ?2 vs. ??:μ1≠ ?2
2. using excel>addin phstat>two sample t
we have
Separate-Variances t Test for the Difference Between Two Means | ||||
(assumes unequal population variances) | ||||
Data | ||||
Hypothesized Difference | 0 | |||
Level of Significance | 0.01 | |||
Population 1 Sample | ||||
Sample Size | 55 | |||
Sample Mean | 5.492 | |||
Sample Standard Deviation | 4.5520 | |||
Population 2 Sample | Lower limit | Upper limit | ||
Sample Size | 55 | -2.739854453 | 2.635854453 | |
Sample Mean | 5.544 | |||
Sample Standard Deviation | 6.0750 | |||
Intermediate Calculations | Calculations Area | |||
Numerator of Degrees of Freedom | 1.0978 | Pop. 1 Sample Variance | 20.7207 | |
Denominator of Degrees of Freedom | 0.0110 | Pop. 2 Sample Variance | 36.9056 | |
Total Degrees of Freedom | 100.1036 | Pop. 1 Sample Var./Sample Size | 0.3767 | |
Degrees of Freedom | 100 | Pop. 2 Sample Var./Sample Size | 0.6710 | |
Standard Error | 1.0236 | For one-tailed tests: | ||
Difference in Sample Means | -0.0520 | T.DIST.RT value | 0.4798 | |
Separate-Variance t Test Statistic | -0.0508 | 1-T.DIST.RT value | 0.5202 | |
Two-Tail Test | ||||
Lower Critical Value | -2.6259 | |||
Upper Critical Value | 2.6259 | |||
p-Value | 0.9596 | |||
Do not reject the null hypothesis |
3. the p-value =0.9596 the appropriate test statistic t = -0.0508
4. a 99% confidence interval for the difference in American League and National League salaries is (-2.7399 , 2.6359 )