A. For which data set is the sample correlation coefficient r closest to −1? B. For which data set is the sample correlation coefficient r closest to 0? C. For which data set is the sample correlation coefficient r equal to 1?
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A. For which data set is the sample
B. For which data set is the sample correlation coefficient r closest to 0?
C. For which data set is the sample correlation coefficient r equal to 1?
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- Find the positive geometric mean between 4 and 64.x y 1.0 10.0 2.0 9.0 3.0 8.0 4.0 7.0 5.0 6.0 6.0 5.0 7.0 4.0 8.0 3.0 9.0 2.0 10.0 1.0 y 1 2 3 4 5 6 7 8 9 10 11 x 1 2 3 4 5 6 7 8 9 10 11 0 Figure 1 u v 1.0 7.7 2.0 5.4 3.0 10.3 4.0 6.3 5.0 2.2 6.0 4.9 7.0 8.7 8.0 3.5 9.0 9.4 10.0 6.9 v 1 2 3 4 5 6 7 8 9 10 11 u 1 2 3 4 5 6 7 8 9 10 11 0 Figure 2 w t 1.0 3.1 2.0 4.3 3.0 3.6 4.0 5.3 5.0 4.7 6.0 7.0 7.0 6.2 8.0 7.6 9.0 6.9 10.0 8.4 t 1 2 3 4 5 6 7 8 9 10 11 w 1 2 3 4 5 6 7 8 9 10 11 0 Figure 3 m n 1.0 7.2 2.0 9.1 3.0 7.1 4.0 5.4 5.0 7.7 6.0 5.0 7.0 4.3 8.0 6.7 9.0 6.1 10.0 4.4 n 1 2 3 4 5 6 7 8 9 10 11 m 1…Hours Spent in Child Care 7.5 1.8 0.9 8.0 5.2 6.1 3.3 1.0 4.4 1.6 5.2 11.5 11.6 10.1 9.0 7.3 2.2 1.0 5.2 10.7 7.6 4.1 10.1 6.0 10.1 9.9 10.4 7.0 3.8 9.6 4.1 7.2 4.0 8.5 6.0 7.3 5.4 11.5 9.1 6.5
- x y 1.0 3.6 2.0 4.1 3.0 3.6 4.0 5.3 5.0 4.4 6.0 6.8 7.0 5.7 8.0 7.8 9.0 6.7 10.0 7.8 y 1 2 3 4 5 6 7 8 9 10 11 x 1 2 3 4 5 6 7 8 9 10 11 0 Figure 1 u v 1.0 7.8 2.0 8.7 3.0 6.8 4.0 5.6 5.0 8.3 6.0 5.2 7.0 4.2 8.0 7.0 9.0 6.1 10.0 3.5 v 1 2 3 4 5 6 7 8 9 10 11 u 1 2 3 4 5 6 7 8 9 10 11 0 Figure 2 w t 1.0 6.9 2.0 9.5 3.0 3.8 4.0 9.0 5.0 5.0 6.0 2.3 7.0 5.9 8.0 10.2 9.0 4.8 10.0 7.6 t 1 2 3 4 5 6 7 8 9 10 11 w 1 2 3 4 5 6 7 8 9 10 11 0 Figure 3 m n 1.0 7.8 2.0 7.1 3.0 8.0 4.0 5.9 5.0 7.4 6.0 4.5 7.0 5.2 8.0 3.7 9.0 4.1 10.0 3.5 n 1 2 3 4 5 6 7 8 9 10 11 m 1 2…Price($) W Price ($) A $3.98 $3.99 $2.28 $3.49 $3.08 $5.29 $0.58 $0.60 $2.00 $1.77 $8.98 $10.49 $3.94 $3.99 $3.50 $5.49 $1.50 $0.99 $2.18 $2.29 $3.88 $3.19 $2.78 $2.99 $2.12 $1.00 $0.88 $0.59 $2.64 $2.79 $0.98 $1.99 $0.98 $1.00 $0.75 $1.00 $0.28 $0.29 $2.98 $3.99 $2.82 $2.79 $0.94 $1.19 $1.47 $1.25 $5.48 $4.99 $3.98 $3.99 $3.48 $3.79 $1.08 $1.89 $1.08 $1.00 $1.00 $1.50 $0.58 $0.50 Trying to determine if A is more expenive than W. Test Your Claim for Using a 2 Sample Hypothesis Test with a 5% Level of Significance. 1. Define µ1 and µ2 2. Determine the null and alternate hypothesis and identify the claim. 3. Using technology find the test statistic and interpret it. 4. Make a decision of rejecting or failing to reject the null hypothesis. You can use the Classical Approach (using critical values) or the P-value Approach but you must thoroughly explain which method you used and walk me through your steps. 5. State your…In March 2015, Laclede Gas had the following rate schedule for natural gas usage in single-family residences.Monthly service charge $19.50Delivery chargeFirst 30 therms $0.91686/thermOver 30 therms $0Natural gas costFirst 30 therms $0.348/thermOver 30 therms $0.5922/therm(a) What is the charge for using 20 therms in a month?(b) What is the charge for using 150 therms in a month?(c) Develop a function that models the monthly charge C for x therms of gas.(d) Graph the function found in part (c).
- How do you figure out ABOUT how many oranges does each person get then find out how APPROXIMATELY how many oranges everyone gets?Suppose a company charges a premium of $150 per year for an insurance policy for storm damage to roofs. Actuarial studies show that in case of a storm, the insurance company will pay out an average of $8000 for damage to a composition shingle roof and an average of $12,000 for damage to a shake roof. They also determine that out of every 10,000 policies, there are 7 claims per year made on composition shingle roofs and 11 claims per year made on shake roofs. What is the company’s expected value (i.e., expected profit) per year of a storm insurance policy? What annual profit can the company expect if it issues 1000 such policies? Determine the probability of a composition shingle roof claim out of 10,000 = ______ Determine the probability of a shake roof claim out of 10,000 = ______ How many claims are made out of 10,000? = _______ What is the probability of no claims out of 10,000? = _______ How much does each shingle roof claim cost the company, don’t forget each person pays $150…⎢10001000−6⎤⎦⎥X=⎡⎣⎢−2−82−468−610−9⎤⎦⎥[10001000−6]X=[−2−4−6−861028−9]. X=X= ⎡⎣⎢⎢⎢⎢⎢⎢[⎤⎦⎥⎥⎥⎥⎥⎥] f. ⎡⎣⎢001010100⎤⎦⎥X=⎡⎣⎢−79−5−21−4−1029⎤⎦⎥[001010100]X=[−7−2−10912−5−49]. X=X= ⎡⎣⎢⎢⎢⎢⎢⎢[⎤⎦⎥⎥⎥⎥⎥⎥] g. ⎡⎣⎢10001−5001⎤⎦⎥X=⎡⎣⎢2−2210−68−1−45⎤⎦⎥[1000100−51]X=[210−1−2−6−4285]. X=X= ⎡⎣⎢⎢⎢⎢⎢⎢[⎤⎦⎥⎥⎥⎥⎥⎥
- 2. The cost, in millions of dollars, of a 30-second TV ad during the Super Bowl from 2015 to 2019 can be approximated by ?(?) = −0.139?2 + 0.788? + 4.24 (million $), where ? is the number of years since 2015.What was the average cost of a Super Bowl ad during the given period?y x1 x2 x3 x40.8 44711 739 586 7.41.6 27896 690 526 12.51.5 25435 728 566 29.61.4 31889 549 338 22.61.1 37503 931 825 19.61.4 32822 678 506 7.81.9 22833 923 820 10.70.9 36000 822 677 33.71.6 23497 405 146 23.31.7 25285 678 506 13.5An environmentalist wants to find out the fraction of oil tankers that have spills each month. Step 1 of 2: Suppose a sample of 261 tankers is drawn. Of these ships, 46 had spills. Using the data, estimate the proportion of oil tankers that had spills. Enter your answer as a fraction or a decimal number rounded to three decimal places. Step 2 of 2: Suppose a sample of 261 tankers is drawn. Of these ships, 46 had spills. Using the data, construct the 90% confidence interval for the population proportion of oil tankers that have spills each month. Round your answers to three decimal places.