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- Find the t values that form the boundaries of the critical region for a two-tailed test with a = .05 for ear following sample sizes: n=4 n = 15 n=24Determine the critical t-scores for each of the conditions below. a) one-tail test, α=0.05, and n=14 b) one-tail test, α=0.01, and n=33 c) two-tail test, α=0.02, and n=12 d) two-tail test, α=0.10, and n=11 Click here to view page 1 of the Student's t-distribution table. LOADING... Click here to view page 2 of the Student's t-distribution table. LOADING... Question content area bottom Part 1 a) The critical t-score(s) for a one-tail test, where α=0.05,and n=14 is (are) (Round to three decimal places as needed. Use a comma to separate answers as needed.) Part 2 b) The critical t-score(s) for a one-tail test, where α= 0.01,and n=33 is (are) (Round to three decimal places as needed. Use a comma to separate answers as needed.) Part 3 c) The critical t-score(s) for a two-tail test, whereα=0.02,and n=12is(are) (Round to three decimal places as needed. Use a comma to separate answers as needed.) Part 4…1. What hypothesis test is appropriate for the study? 2. What is the value of the df? 3. What is the critical value?
- (b) For the (x, y) data set of part (a), compute the equation of the sample least-squares line ŷ = a + bx. (Use 4 decimal places.) a b If the number of hits was 9.1 (× 105) one day, what do you predict for the number of hits the next day? (Use 1 decimal place.) (× 105) hits (c) Compute the sample correlation coefficient r and the coefficient of determination r2. (Use 4 decimal places.) r r2 Test ρ > 0 at the 1% level of significance. (Use 2 decimal places.) t critical tFind the t-value that form the boundaries of the critical region for a two-tailed test with a= 0.01 and a sample size of 25.Q1) Salary information regarding male and female employees of a large company is shown below. Male Female Sample Size 64 36 Sample Mean Salary (in $1000) 44 41 Population Variance () 128 72 Q2) Please select the best answer. If you are interested in testing whether or not the population average salary of males is significantly greater than that of females, at α = .05, the conclusion is that the population: a. average salary of males is significantly greater than females. b. average salary of males is significantly lower than females. c. salaries of males and females are equal. d. average salary of males is greater than females cannot be proved. Q2) In order to determine whether or not there is a significant difference between the mean hourly wages paid by two companies (of the same industry), the following data have been accumulated. Please calculate the p-value. Company A Company B Sample size 80 60 Sample…
- Determine the kurtosis if the data given is a sample.Blood cocaine concentration (mg/L) was determinedboth for a sample of individuals who had died fromcocaine-induced excited delirium (ED) and for a sampleof those who had died from a cocaine overdose withoutexcited delirium; survival time for people in bothgroups was at most 6 hours. The accompanying datawas read from a comparative boxplot in the article“Fatal Excited Delirium Following Cocaine Use” (J.of Forensic Sciences, 1997: 25–31). ED 0 0 0 0 .1 .1 .1 .1 .2 .2 .3 .3.3 .4 .5 .7 .8 1.0 1.5 2.7 2.83.5 4.0 8.9 9.2 11.7 21.0Non-ED 0 0 0 0 0 .1 .1 .1 .1 .2 .2 .2.3 .3 .3 .4 .5 .5 .6 .8 .9 1.01.2 1.4 1.5 1.7 2.0 3.2 3.5 4.14.3 4.8 5.0 5.6 5.9 6.0 6.4 7.98.3 8.7 9.1 9.6 9.9 11.0 11.512.2 12.7 14.0 16.6 17.8 a. Determine the medians, fourths, and fourth spreadsfor the two samples.b. Are there any outliers in either sample? Any extremeoutliers?c. Construct a comparative boxplot, and use it as abasis for comparing and contrasting the ED andnon-ED samples.Site image for background. Conduct a test of the null hypothesis H0: u1=u2=u3=u4=u5 by stating (i) a test statistic value, (ii) an associate p-value, (iii) a decision at the a = 0.05 level, and (iv) a conclusion formulated in terms of Ha here for feed rate groups.
- A manufacturer of automobile transmissions uses two different processes. Management ordered a study of the production costs to see if there is a difference between the two processes. A summary of the findings is shown next. Process 1 Process 2 Total Process totals ($100s) 137 108 245 Sample size 10 10 20 Sum of squares 1,893 1,188 3,081 What is the critical value of F at the 5% level of significance?All Fresh Seafood is a wholesale fish company based on the east coast of the U.S. Catalina Offshore Products is a wholesale fish company based on the west coast of the U.S. Table #9.2.5 contains prices from both companies for specific fish types ("Seafood online," 2013) ("Buy sushi grade," 2013). Do the data provide enough evidence to show that a west coast fish wholesaler is more expensive than an east coast wholesaler? Test at the 5% level. (Show work) Table #9.2.5: Wholesale Prices of Fish in Dollars Fish All Fresh Seafood Prices Catalina Offshore Products Prices Cod 19.99 17.99 Tilapi 6.00 13.99 Farmed Salmon 19.99 22.99 Organic Salmon 24.99 24.99 Grouper Fillet 29.99 19.99 Tuna 28.99 31.99 Swordfish 23.99 23.99 Sea Bass 32.99 23.99 Striped Bass 29.99 14.99(b) For the (x, y) data set of part (a), compute the equation of the sample least-squares line ŷ = a + bx. (Use 4 decimal places.) a b If the per capita spending was x = $39 one year, what do you predict for the spending the next year? (Use 2 decimal places.) $ per capita (c) Compute the sample correlation coefficient r and the coefficient of determination r2. (Use 4 decimal places.) r r2 Test ρ > 0 at the 1% level of significance. (Use 2 decimal places.) t critical t
