one-tailed or two-tailed test: State the Hypotheses; df= ta or t value for the critical region = sM = %3D t%3D

Childhood participation in sports, cultural groups, and youth groups appears to be related to improved self-esteem for adolescents (McGee, Williams, Howden-Chapman, Martin, & Kawachi, 2006). In a representative study, a sample of n = 100 adolescents with a history of group participation is given a stan- dardized self-esteem questionnaire. For the general population of adolescents, scores on this questionnaire form a normal distribution with a mean of p %3D 50 and %3D 15. The sample of group- a standard deviation of o %3D participation adolescents had an average of M = 53.8.

The commercial division of a real estate firm is conducting a regression analysis of the relationship between I, annual gross rents (in thousands of dollars), and y, selling price (in thousands of dollars) for apartment buildings. Data were collected on several properties recently sold and the following computer output was obtained. ANOVA MS Significance F Regression 1 41587.6 Residual Total 51984.7 Coefficients Standard Error t Stat P-value Intercept 20.000 3.2213 6.21 Apnual Gros 7.240 1.3621 5.29 Rents a. How many apartment buildings were in the sample? b. Write the éstimated regression equation (to 2 decimals if necessary). c. Use the t statistic to test the significance of the relationship at a 0.05 level of significance. What is the p-value? Use Table 2 of Appendix D. P-value is-Sclect your answer - What is your condusion? - Select your answer - d. Use the F statistic to test the significance of the relalionship at a 0.06 level uf significanct. Compute the F test slatistic (to 2…

Waterbury Insurance Company wants to study the relationship between the amount of fire damage and the distance between the burning house and the neorest fire station. This information will be used in setting rates for insurance coverage. For o somple of 30 claims for the last year, the director of the actuarial department determined the distance from the fire station (x) and the amount of fire domage, in thousands of dollars (y). ANOVA table Source Regression Residual SS df MS F 1,870.5782 1,870.5782 41.39 1,265.4934 3,136.0716 28 45.1962 Total 29 Regression output Standard Variables Coefficients Error t(df-28) Intercept Distance-X 13.76815 3.106 2.914 3.77es e. 5861 6.43 Click here for the Excel Data File a-1. Determine the regression equation. (Round your answers to 3 decimal places.) y3D X. a-2 Is there a direct or indirect relotionship between the distance from the fire station and the amount of fire damage? The relationship between distance and damage is b. How much domage would…

find the critical value and identify the rejection region. Also find the standard test

Use the given information to find the critical values  and .  (Use technology or the attached Chi-Square table.) Platelet Counts of Women 80​% confidence n=26 s=65.3

People were polled on how many books they read the previous year. Initial survey results indicate that s = 16.1 books. Complete parts (a) through (d) below. Click the icon to view a partial table of critical values. (a) How many subjects are needed to estimate the mean number of books read the previous year within six books with 95% confidence? This 95% confidence level requires 28 subjects. (Round up to the nearest subject.) (b) How many subjects are needed to estimate the mean number of books read the previous year within three books with 95% confidence? This 95% confidence level requires subjects. (Round up to the nearest subject.)

6(5)

Name of the procedure/formula (e.g., ANOVA, Chi-Square, Hypothesis Test using z formula, Regression Analysis, etc.).

A Simple Linear Regression (SLR) was performed where the monthly Revenue ("Rev", the y-variable) was regressed on the monthly Advertising Expenditures ("Expend", the x-variable). The Excel-generated Regression output is provided below: ANOVA               df SS MS F Significance F   Regression 1 492.528125 492.528125 10.65525634 0.046980871   Residual 3 138.671875 46.22395833       Total 4 631.2                         Coefficients Standard Error t Stat P-value Lower 95% Upper 95% Intercept 23.1328125 5.324310936 4.344752359 0.022510469 6.188478833 40.07714617 Expend 3.1015625 0.950164031 3.264239014 0.046980871 0.077716489 6.125408511   a. From the Excel-generated Regression output above, give the value of b0, the estimated y-intercept. Round off your answer to the fourth decimal place. b0 =____. b. From the Excel-generated Regression output above, give the value of b1 , the estimated slope. Round off your answer to the fourth decimal place. b1 =  _________