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A certain brand of microwave oven was priced at 10 stores in Daiias and 13 stores in San Antonio. The data follow. Use a =
A certain brand of microwave oven was priced at 10 stores in Daiias and 13 stores in San Antonio. The data follow. Use a = 0.05 ievel of significance and test whether prices: for the microwave oven are the same in the two cities. Dailas San Antonio 46] 463 423 474 452 459 444 431 429 413 428 423 456 447 457 487 42] 470 46] 449 41.7 421 434 What is the mean and standard deviation of the normal distribution that can be used for this statistical test? Mean 120 9 (to 1 decimal} Standard deviation 16.124 9 (to 4 decimaIS) What is the sum of the lanks for Dailas? 0 (to 1 decimal) What is the value of the test statistic? K e (to 2 decimals) What is the p-value for the hypothesis test? Use Table 1 of Appendix B. 0.0220 0 (to 4 decimals) What is your conciusion? We 9 have enough evidence to reject the null hypothesis that says there _ @ difference in the microwave prices in Dallas and San Antonio. The following data show the rankings of 11 states based on expenditure per student (ranked 1 highest to 11 lowest) and student-teacher ratio (ranked 1 lowest to 11 highest). Use Table 1 of Appendix B. State Expenditure per Student Student-Teacher Ratio Arizona 10 10 Colorado 6 Co Florida Idaho W 11 Iowa un Louisiana 11 Massachusetts YNNW Nebraska CO North Dakota 9 South Dakota 10 6 Washington 3 10 a. What is the rank correlation between expenditure per student and student-teacher ratio (to 2 decimals)? Enter negative values as negative numbers. T's = b. At the a = 0.05 level, does there appear to be a relationship between expenditure per student and student-teacher ratio? Enter negative values as negative numbers. 0.01 (to 2 decimals) p-value = (to 4 decimals) Conclusion: We cannot conclude that there is a significant relationship.The following data are product weights for the same items produced on two different production lines. Test for a difference between the product weights for the two lines. Use a: = 0.05. Line 1 Line 2 4.0 14.5 4.0 14.1 3.8 14.4 3.1 14.9 4.2 13.6 3.9 14.0 3.7 13.5 3.5 14.9 4.2 13.6 3.8 15.1 13.6 14.1 What is the value of the test statistic? Enter negative value as negative number. I: 0 (to 2 decimals) What is the pvalue for the hypothesis test? I: 0 (to 4 decimals) What is your conclusion? The two populations of product weights 9 identical. The population of product weights from production line 1 tends to be 9 the population of product weights from production line 2
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