COV LS PA ΝΑ -0.8-1.2 4 MEANS 3.5 4.2 1.2 LS PA NA 4 1 -- 39-- For the following standardized multivariate regression model: What is B1? NA = BO + B1*PA + B2*LS Round all intermediary values to four decimal places and final answers to two.
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- An automobile dealer conducted a test to determine if the time in minutes needed to complete a minor engine tune-up depends on whether a computerized engine analyzer or an electronic analyzer is used. Because tune-up time varies among compact, intermediate, and full-sized cars, the three types of cars were used as blocks in the experiment. The data obtained follow. Analyzer Computerized Electronic Car Compact 52 43 Intermediate 55 44 Full sized 61 45 Use ? = 0.05 to test for any significant differences. State the null and alternative hypotheses. H0: ?Compact ≠ ?Intermediate ≠ ?Full-sizedHa: ?Compact = ?Intermediate = ?Full-sized H0: ?Compact = ?Intermediate = ?Full-sizedHa: ?Compact ≠ ?Intermediate ≠ ?Full-sized H0: ?Computerized = ?Electronic = ?Compact = ?Intermediate = ?Full-sizedHa: Not all the population means are equal. H0: ?Computerized ≠ ?ElectronicHa: ?Computerized = ?Electronic H0: ?Computerized = ?ElectronicHa: ?Computerized ≠ ?Electronic Find the…An automobile dealer conducted a test to determine if the time in minutes needed to complete a minor engine tune-up depends on whether a computerized engine analyzer or an electronic analyzer is used. Because tune-up time varies among compact, intermediate, and full-sized cars, the three types of cars were used as blocks in the experiment. The data obtained follow. Analyzer Computerized Electronic Car Compact 51 42 Intermediate 55 43 Full-sized 62 47 Use ? = 0.05 to test for any significant differences. State the null and alternative hypotheses. H0: ?Computerized ≠ ?ElectronicHa: ?Computerized = ?ElectronicH0: ?Computerized = ?Electronic = ?Compact = ?Intermediate = ?Full-sizedHa: Not all the population means are equal. H0: ?Computerized = ?ElectronicHa: ?Computerized ≠ ?ElectronicH0: ?Compact ≠ ?Intermediate ≠ ?Full-sizedHa: ?Compact = ?Intermediate = ?Full-sizedH0: ?Compact = ?Intermediate = ?Full-sizedHa: ?Compact ≠ ?Intermediate ≠ ?Full-sized Find the value of…An alloy manufacturer is investigating if they can improve the strength of one of their alloysby producing it at a lower temperature. To investigate that, they produce the alloy at twodifferent temperatures (high and low) and then measure the breaking strength of randomsamples of specimens from each. The following table represents the strength of the randomsamples at the higher and lower temperature, in units of 0.001-inch deflection. Temp. Strength (0.001 inch)High 87 64 66 85 76 49 97 73 75 77 69 68 89 27 58 84Low 88 82 81 85 79 80 88 78 77 85 79 76 Do the results support the hypothesis that lowering the production temperature can improve thestrength of the alloy, with 95% confidence? (Hint: Don’t forget investigating variances. Use 98% confidence for that.)
- An automobile dealer conducted a test to determine if the time in minutes needed to complete a minor engine tune-up depends on whether a computerized engine analyzer or an electronic analyzer is used. Because tune-up time varies among compact, intermediate, and full-sized cars, the three types of cars were used as blocks in the experiment. The data obtained follow. Analyzer Computerized Electronic Car Compact 49 41 Intermediate 55 44 Full-sized 64 47 Use ? = 0.05 to test for any significant differences. Find the value of the test statistic. (Round your answer to two decimal places.) Find the p-value. (Round your answer to three decimal places.) p-value =A mail-order catalog claims customers will receive their product within 4 days of ordering. A competitor believes that this claim is an underestimate. The competitor test the following hypothesis H0: mu = 4 versus Ha: mu > 4. Determine the type one error. Group of answer choices A. Type I error occurs if the competitor would conclude that mu > 4 when, in fact, mu > 4. B. Type I error occurs if the competitor would conclude that mu > 4 when, in fact, mu = 4. C. Type I error occurs if the competitor would not conclude that mu > 4 when, in fact, mu > 4. D. Type I error occurs if the competitor would not conclude mu > 4 when, in fact, mu = 4.A study was conducted using undergraduates at a urban university who volunteered to participate in the research as partial fulfillment of a course requirement. One of the items studied was the amount of alcohol consumed (in drinks) in any one day for the past month. Administrators hypothesize that freshmen consume more alcohol than juniors. Based on the information in the table below, what can be concluded with an a of 0.107 freshmen juniors ân = 6.6 i2 = 7.6 ô1 = 1.2 ôz = 2.2 ni- 15 n2 = 14 a) What is the appropriate test statistic? --Select--- b) Condition 1: ---Select-- Condition 2: ---Select--- c) Obtain/compute the appropriate values to make a decision about Ho. ; Test Statistic = Critical Value = Decision: --Select--- d) If appropriate, compute the CI. If not appropriate, input "na" for both spaces below. e) Compute the corresponding effect size(s) and indicate magnitude(s). If not appropriate, input and/or select "na" below. d= ; Magnitude: ---Select--- ; Magnitude: --Select-
- You sample 1500 dung beetles in a population for 2 alleles A1 and A2 and get the following data: A1A1 825 individuals A1A2 525 individuals A2A2 135 Individuals Is this population in Hardy Weinberg Euilibrium, use a chi square test to determine?An industrial-organizational psychologist believes that implementing a 2-hour lunch break at US companies will have an effect on employee productivity. On a productivity scale from 1 to 15, the average productivity score for all companies in the US is 8 (u = 8.00, ỡ = 4.00). The IO psychologist randomly samples 5 companies and has the companies implement a 2-hour lunch break for 1 month. At the end of the month, the lO psychologist measures the productivity scores for the five companies and obtains the following scores: 9, 14, 10, 12, 15 Using the appropriate hypothesis test and the six steps of hypothesis testing, determine what the 10 psychologist should conclude about the effect of a 2-hour lunch break on employee productivity. 1) write out the null and alternative hypotheses 2) Use an online calculator to calculate the exact p-valueAn industrial-organizational psychologist believes that implementing a 2-hour lunch break at US companies will have an effect on employee productivity. On a productivity scale from 1 to 15, the average productivity score for all companies in the US is 8 (u = 8.00, ỡ = 4.00). The IO psychologist randomly samples 5 companies and has the companies implement a 2-hour lunch break for 1 month. At the end of the month, the lO psychologist measures the productivity scores for the five companies and obtains the following scores: 9, 14, 10, 12, 15 Using the appropriate hypothesis test and the six steps of hypothesis testing, determine what the 10 psychologist should conclude about the effect of a 2-hour lunch break on employee productivity. 1. What is the appropriate test to use ? 2. List the test's assumptions .You do NOT have to test the assumptions. 3. What are the null and alternative hypotheses ? 4. Construct a sampling distribution of means representing the null hypothesis. Specify the…
- An industrial-organizational psychologist believes that implementing a 2-hour lunch break at US companies will have an effect on employee productivity. On a productivity scale from 1 to 15, the average productivity score for all companies in the US is 8 (u = 8.00, ỡ = 4.00). The IO psychologist randomly samples 5 companies and has the companies implement a 2-hour lunch break for 1 month. At the end of the month, the lO psychologist measures the productivity scores for the five companies and obtains the following scores: 9, 14, 10, 12, 15 Using the appropriate hypothesis test and the six steps of hypothesis testing, determine what the 10 psychologist should conclude about the effect of a 2-hour lunch break on employee productivity. 1) What are the null and alternative hypotheses 2)Construct a sampling distribution of means representing the null hypothesis. Specify the sampling distribution's mean and standard error 3)Using a two-tailed alpha of .05 (a = 05), determine the critical…An industrial-organizational psychologist believes that implementing a 2-hour lunch break at US companies will have an effect on employee productivity. On a productivity scale from 1 to 15, the average productivity score for all companies in the US is 8 (u = 8.00, ỡ = 4.00). The IO psychologist randomly samples 5 companies and has the companies implement a 2-hour lunch break for 1 month. At the end of the month, the lO psychologist measures the productivity scores for the five companies and obtains the following scores: 9, 14, 10, 12, 15 1. State whether you reject or fail to reject the null hypothesis 2. Use an online calculator to calculate the exact p-value 3. Calculate and report the effect size 4. Based on the results of your analysis, does a 2-hour lunch break increase, decrease, or have no effect on productivity ?An industrial-organizational psychologist believes that implementing a 2-hour lunch break at US companies will have an effect on employee productivity. On a productivity scale from 1 to 15, the average productivity score for all companies in the US is 8 (u = 8.00, ỡ = 4.00). The IO psychologist randomly samples 5 companies and has the companies implement a 2-hour lunch break for 1 month. At the end of the month, the lO psychologist measures the productivity scores for the five companies and obtains the following scores: 9, 14, 10, 12, 15 Using the appropriate hypothesis test and the six steps of hypothesis testing, determine what the 10 psychologist should conclude about the effect of a 2-hour lunch break on employee productivity. 1. What is the appropriate test to use ? 2. List the test's assumptions .You do NOT have to test the assumptions. 3. What are the null and alternative hypotheses ? 4. Construct a sampling distribution of means representing the null hypothesis. Specify the…
