The following results are from data where the dependent variable is SALARY, the independent variables are AGE, EDUCATION, and FEMALE which is a dummy variable = 1 for females and = 0 for males. a) Complete the results
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- A restaurant chain introduces new dishes on its menu and wants to know if this will increase the number of customers in its branches. According to the data of the chain, 20 students did not suffer changes in their affluence, 6 had a drop in their number of clients and 12 presented An increase with a significance level of 0.05 uses a non-parametric test to reject or accept the null hypothesis that the instruction of new dishes does not generate changes in the flow of dinersA manufacturer of salad dressings uses machines to dispense liquid ingredients into bottles that move along a filling line. The machine that dispenses salad dressings is working properly when 8 ounces are dispensed. Suppose that the average amount dispensed in a particular sample of 35 bottles is 7.91 ounces with a variance of 0.03 ounces squared. Is there evidence that the machine should be stopped and production wait for repairs? The lost production from a shutdown is potentially so great that management feels that the level of significance in the analysis should be 99%. (solve without excel)A manufacturer of salad dressings uses machines to dispense liquid ingredients into bottles that move along a filling line. The machine that dispenses salad dressings is working properly when 8 ounces are dispensed. Suppose that the average amount dispensed in a particular sample of 35 bottles is 7.91 ounces with a variance of 0.03 ounces squared. Is there evidence that the machine should be stopped and production wait for repairs? The lost production from a shutdown is potentially so great that management feels that the level of significance in the analysis should be 99%.
- Test the hypothesis that the average weekly allowance of female and male ACC 215 students the same, at 5%l evel of significance. Weekly Allowance of Students (Php) Male: 1500 2000 2500 2500 2000 1750 2000 1800 Female:1500 2000 1750 1500 2000 2500 3000 3500 Ho: Ha: α = Decision Rule: Computation: Decision: Conclusion:An aircraft company wanted to predict the number of worker-hours necessary to finish the design of a new plane. Relevant explanatory variables were thought to be the plane’s top speed, its weight, and the number of parts it had in common with other models built by the company. A sample of 27 of the company’s planes was taken, and the following model was estimated:y = β0 + β1x1 + β2x2 + β3x3 + εwherey = design effort, in millions of worker-hoursx1 = plane’s top speed, in miles per hourx2 = plane’s weight, in tonsx3 = percentage number of parts in common with other modelsThe estimated regression coefficients were as follows:b1 = 0.661 b2 = 0.065 b3 = -0.018and the estimated intercept was 2.0.Predict design effort for a plane with a top speed of Mach 1.0, weighing 7 tons, and having 50% of itsparts in common with other models.A manufacturer of salad dressings uses machines to dispense liquid ingredients into bottles that move along a filling line. The machine works properly when 24.12 ounces of liquids are dispensed. Suppose that the average amount dispensed in a particular sample of 41 bottles is 20.65 ounces with a variance of 1.48 ounces squared. What is the test statistic to test the null hypothesis that the salad dressings machine dispenses 24.12 ounces of liquid ingredients against the alternative that the salad dressings machine dispenses liquid ingredients other than 24.12 ounces?
- Test the hypothesis that the average weekly allowance of female and male ACC 215 students the same, at 5%l evel of significance. (Step by step solution, manually, without using excel) Weekly Allowance of Students (Php) Male: 1500 2000 2500 2500 2000 1750 2000 1800 Female:1500 2000 1750 1500 2000 2500 3000 3500 Ho: Ha: α = Decision Rule: Computation: Decision: Conclusion:The article “Characterization of Highway Runoff in Austin, Texas, Area” (J. of Envir. Engr., 1998: 131–137) gave a scatterplot, along with the least squares line, of x = rainfall volume (m3) and y = runoff volume (m3) for a particular location. The accompanying values were read from the plot. x <‐ c(5, 12, 14, 17, 23, 30, 40, 47, 55, 67, 72, 81, 96, 112, 127) y <‐ c(4, 10, 13, 15, 15, 25, 27, 46, 38, 46, 53, 70, 82, 99, 100) Test at level 0.05 whether there is a useful linear relationship between rainfall and runoff,and then calculate a 95% confidence interval for the true average change in runoff volumeassociated with one unit (one m3) increase in rainfall volume.Suppose a study reported that the average persin watched 3.37 hours of television per day. a random sample of 15 people gave the number of hours of television watched per day shown below. at the 1% significance level, do the data provide sufficent evidence to conclude that the amount of television watched per day last year by the average person is greater than the value reported in the study? A.select the correct parameter. a.the average number of hours that all people watch tv b. the average number of hours that the 15 people watch tv c. the fraction of hours people watch tv d. the total number of hours that a person watches tv B. select the correct hypotheses: a. Ho: mu= 3.37 Ha: mu is greater than 3.37 b. Ho: mu=4.103 Ha: mu is greater than 4.103 c.Ho: p=3.37 Ha: p is less than 3.37 d.Ho: mu=3.37 Ha: mu is less than 3.37 C. which of following statements best describes the sampling distribution? a. the sampling distribution is normal with mean 3.37 hours and standard deviation…
- The Office of the University Registrar of Seoul University would like to know if the degree programs in College of Science and Math are equally preferred by students.The test claim that the proportions of the students enrolled are equal in each degree program at alpha=0.05 Using the data on the number of currently enrolled students in each gender (M of F) in each of the four degree programs, fill out the table below and find the: a. Chi-square critical Value b. Chi-square test statisticA manufacturer of sunflower oil uses machines to distribute liquid ingredients into bottles that move along a filling line. The machine that distributes is working properly when 8 ounces are distributed Suppose that the average amount distributed in a particular sample of 35 bottles is 7 91 0 ounces. Assume that the variance of the process is known to be 0.03 ounces squared. Is there evidence that the machine should be stopped (when not 8 ounces are distributed), and production wait for repairs? The lost production from a shutdown is potentially so great that management feels that the level of confidence in the analysis should be 99%A random sample of 20 newly-born baby boys showed an average weight of 7.40 pounds while a sample of 25 newly-born baby girls showed a mean weight of 6.50 pounds. If the variance of all newly-born babies are 1.25 pounds, can we say that newly-born baby boys are heavier than newly-born baby girls using the 0.05 level?