CORRELATION COEFFICIENTS FOR FOUR STUDENTS Student Correlation Coefficient Jana 0.95 Archie -0.97 Serena 0.92 Nate -0.99 Which statement is correct? Serena's line fits her data better than А Archie's line fits his data. Nate's line fits his data better than В Jana's line fits her data. Serena's line fits her data better than Jana's line fits her data. Archie's line fits his data better than D Nate's line fits his data.
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- 1. Suppose that, in Example 2.27, 400 units of food A, 600 units of B, and 600 units of C are placed in the test tube each day and the data on daily food consumption by the bacteria (in units per day) are as shown in Table 2.6. How many bacteria of each strain can coexist in the test tube and consume all of the food? Table 2.6 Bacteria Strain I Bacteria Strain II Bacteria Strain III Food A 1 2 0 Food B 2 1 1 Food C 1 1 2Globally, 35% of all ridged brittleshell tortoises have spots on their shells. A herpetologist in Citition collects a sample of 38 ridged brittlesell tortoises and finds that 16 of them have spots on their shells. The herpetologist would like to test the claim that the proportion of ridged brittleshell tortoises in Cititon with spots on their shells is greater than 35%. The herpetologist ends up rejecting the null hypothesis. If the actual proportion of ridged brittleshell tortoises in Cititon with spots on their shells is 41%, then what type of error, if any, has occurred? In the problem above, what is the test statistic?ch 13. 5: Cincinnati Paint Company sells quality brands of paints through hardware stores throughout the United States. The company maintains a large sales force who call on existing customers and look for new business. The national sales manager is investigating the relationship between the number of sales calls made and the miles driven by the sales representative. Also, do the sales representatives who drive the most miles and make the most calls necessarily earn the most in sales commissions? To investigate, the vice president of sales selected a sample of 25 sales representatives and determined: The amount earned in commissions last month (y) The number of miles driven last month (x1) The number of sales calls made last month (x2) The information is reported below. Commissions ($000) Calls Driven Commissions ($000) Calls Driven 29 139 2,371 27 146 3,290 26 132 2,226 25 144 3,103 28 144 2,731 29 147 2,122 26 142 3,351 25 144 2,791 29 142 2,289 25 149 3,209 28…
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