24)____________       An SAT prep course claims to improve the test scores of students. The

                                     table shows the scores for seven students the first two times they took                    

25)_____________     the verbal SAT. Before taking the SAT for the second time, each

                                     student took a course to try to improve his or her verbal SAT scores.  

                                     Test the claim at a = .05. List the a) null hypothesis b) average difference       

                                   between the scores        

26)______________   In a crash test at five miles per hour, the mean bumper repair cost for 14

                                    midsize cars was $547 with a standard deviation of $85. In a similar test               

                                    of 23 small cars, the mean bumper repair cost was $347 with a standard                      

27)______________ deviation of $185. At a = 0.05, can you conclude that the mean bumper

                                    repair cost is the same for midsize cars and small cars? List the

                                    26) p-value 27) accept or reject.

The accompanying table shows a portion of a data set that refers to the property taxes owed by a homeowner (in $) and the size of the home (in square feet) in an affluent suburb 30 miles outside New York City.

a. Estimate the sample regression equation that enables us to predict property taxes on the basis of the size of the home. (Round your answers to 2 decimal places.)

Taxesˆ = _____ + _____Size.

b. Interpret the slope coefficient.

As Size increases by 1 square foot, the property taxes are predicted to increase by $6.85.

As Property Taxes increase by 1 dollar, the size of the house increases by 6.85 ft.

c. Predict the property taxes for a 1,200-square-foot home. (Round coefficient estimates to at least 4 decimal places and final answer to 2 decimal places.) Taxesˆ

A used car dealer wants to develop a regression equation that determines mileage as a function of the age of a car in years. He collects the data shown below for the 12 cars he has on his lot.

a) What is the slope of the regression equation? Give your answer to two decimal places.  
b) What is the value of the correlation coefficient? Give your answer to two decimal places.  
c) A 4 year old car is delivered to his lot with 160000 miles. Manually enter these values in the data table above and rerun the regression analysis. What is the value of the slope? Give your answer to two decimal places.  
d) Including the additional car, what is the value of the correlation coefficient? Give your answer to two decimal places.  
e) Did the additional car strengthen or weaken the linear relationship between age and mileage?

It strengthened the linear relationship.

It weakened the linear relationship.

   Can not be determined.

A 26-year-old male prisoner begins a hunger strike to protest what he considers unfair prison policies. He drinks only tap water, and his only exercise is two daily half-hour walks at approximately 2.5 miles/hr. The temperature in his cell is maintained at 220C. His starting weight is 70 Kg, of which 14% is body fat. At the end of 4 weeks, he is urged by the prison physician, family, friends, and his attorney to stop his fast because of his deteriorating conditions.

a. What changes in plasma levels of energy substrates would occur in the first 3 days of his fast?

b. On what immediate and on what ultimate sources of energy would brain metabolism depend?

c. What role would the liver play in providing energy sources to the brain and muscles?

d. What early changes in plasma levels of hormones would occur? How would this regulate his energy metabolism?

e. What physiologic events would occur when he stopped his fast by drinking a large quantity of a high glucose fluid?

On May 7, Roy, a minor, a resident of Smithton, purchased an automobile from Royal Motors, Inc., for $18,750 in cash. On the same day, he bought a motor scooter from Marks, also a minor, for $750 and paid him in full. On June 5, two days before attaining his majority, Roy disaffirmed the contracts and offered to return the car and the motor scooter to the respective sellers. Royal Motors and Marks each refused the offers. On June 16, Roy brought separate appropriate actions against Royal Motors and Marks to recover the purchase price of the car and the motor scooter. By agreement on July 30, Royal Motors accepted the automobile. Royal then filed a counterclaim against Roy for the reasonable rental value of the car between June 5 and July 30. The car was not damaged during this period. Royal knew that Roy lived twenty-five miles from his place of employment in Smithton and that he would probably drive the car, as he did, to provide himself transportation. Decision as to

1. Roy's action against Royal Motors, Inc., and its counterclaim against Roy; and

2. Roy's action against Marks?

To illustrate the effects of driving under the influence (DUI) of alcohol, a police officer brought a DUI simulator to a local high school. Student reaction time in an emergency was measured with unimpaired vision and also while wearing a pair of special goggles to simulate the effects of alcohol on vision. For a random sample of nine teenagers, the time (in seconds) required to bring the vehicle to a stop from a speed of 60 miles per hour was recorded.

Note: A normal probability plot and boxplot of the data indicate that the differences are approximately normally distributed with no outliers.

Whether the student had unimpaired vision or wore goggles first was randomly selected. Why is this a good idea in designing the experiment? (b) Use a 95% confidence interval to test if there is a difference in braking time with impaired vision and normal vision where the differences are computed as "impaired minus normal." State the appropriate conclusion.

Subject Normal,Xi Impaired, Yi

1 4.49 5.86

2 4.24 5.67

3 4.58 5.51

4 4.56 5.29

5 4.31 5.90

6 4.80 5.49

7 4.59 5.23

8 5.00 5.61

9 4.79 5.63

Which implies a stronger linear relationship, a correlation of +0.7 or a correlation of −0.9?

An important quality characteristic used by the manufacturers of ABC asphalt shingles is the amount of moisture the shingles contain when they are packaged. Customers may feel that they have purchased a product lacking in quality if they find moisture and wet shingles inside the packaging. In some cases, excessive moisture can cause the granules attached to the shingles for texture and colouring purposes to fall off the shingles resulting in appearance problems. To monitor the amount of moisture present, the company conducts moisture tests. A shingle is weighed and then dried. The shingle is then reweighed, and based on the amount of moisture taken out of the product, the pounds of moisture per 100 square feet is calculated. The company would like to show that the mean moisture content is less than 0.35 pound per 100 square feet. The file (A & B shingles.csv) includes 36 measurements (in pounds per 100 square feet) for A shingles and 31 for B shingles. 3.1. For the A shingles, form the null and alternative hypothesis to test whether the population mean moisture content is less than 0.35 pound per 100 square feet. 3.2. For the A shingles, conduct the test of hypothesis and find the p-value. Interpret the p-value. Is there evidence at the 0.05 level of significance that the population mean moisture content is less than 0.35 pound per 100 square feet? 3.3. For the B shingles, form the null and alternative hypothesis to test whether the population mean moisture content is less than 0.35 pound per 100 square feet. 3.4. For the B shingles, conduct the test of the hypothesis and find the p-value. Interpret the p-value. Is there evidence at the 0.05 level of significance that the population mean moisture content is less than 0.35 pound per 100 square feet? 3.5. Do you think that the population means for shingles A and B are equal? Form the hypothesis and conduct the test of the hypothesis. What assumption do you need to check before the test for equality of means is performed? 3.6. What assumption about the population distribution is needed in order to conduct the hypothesis tests above? 3.7. Check the assumptions made with histograms, boxplots, normal probability plots or empirical rule. 3.8. Do you think that the assumption needed in order to conduct the hypothesis tests above is valid? Explain.and please send me python commands