Birth Rates: Data Set 4 “Births” in Appendix B lists birth weights from babies born at Albany Medical Center, Bellevue Hospital in New York City, Olean General Hospital, and Strong Memorial Hospital in Rochester, New York. After partitioning the birth weights according to the hospital, we get the StatCrunch display (i.e., the ANOVA Table) shown below. Use a 0.05 significance level to test the claim that the different hospitals have different mean birth weights.  1. If k equals 4 samples (four hospitals) and n equals 100 (one hundred births from each hospital), what is the numerator degrees of freedom? 2. What is the denominator degrees of freedom?  ANOVA Table Source DF SS MS F-Stat P-Value Columns 3 1701400 567133.33 1.1810493 0.3167 Error 396 1.90157e8 480194.44     Total 399 1.918584e8

Listed below are times (in minutes and seconds) that a statistics instructor recorded while riding a bicycle for five laps through each mile of a 3-mile loop. Use a 0.10 significance level to test the claim that the samples are from populations with the same median. What do the data suggest? Mile 1 Mile 2 Mile 3 3:18 3:25 3:31 3:14 3:30 3:31 3:15 3:25 3:35 3:20 3:26 3:28 3:16 3:24 3:27 First determine the null and alternative hypotheses. Choose the correct answer below. O A. Ho: The samples come from populations with equal medians. H₁: The samples come from populations with medians that are not all equal. O B. Ho: The samples come from populations with means that are not all equal. H₁: The samples come from populations with equal means. O C. Ho: The samples come from populations with medians that are not all equal. H₁: The samples come from populations with equal medians. O D. Ho: The samples come from populations with equal means. H₁: The samples come from populations with means that…

4 Ms. Lisa Monnin is the budget director for Nexus Media Inc. She would like to compare the daily travel expenses for the sales staff and the audit staff. She collected the following sample information. Sales ($) Audit ($) 125 137 147 162 136 142 128 107 130 141 141 108 140 At the 0.01 significance level, can she conclude that the mean daily expenses are greater for the sales staff than the audit staff? Click here for the Excel Data File 1. State the decision rule. (Round your answer to 3 decimal places.) Reject Ho if t> 2. Compute the pooled estimate of the population variance. (Round your answer to 2 decimal places.) Pooled variance 3. Compute the test statistic. (Round your answer to 3 decimal places.) Value of the test statistic 4. State your decision about the null hypothesis. (Click to select) Ho: H₂ Ha 5. Estimate the p-value. (Round your answers to 3 decimal places.) p-value (Click to select) Sales 125 137 147 162 136 142 Audit 128 107 130 141 141 108 140

Monthly salary computations from two different clothing companies yielded the following data: n=7, ?=9,130$, ?=386$; ?= ?, ?=8,840$, ?=212$. At the level of significance 0.05, can we conclude that the mean monthly salary from the two companie is not the same?