1. Data from three hospitals show the number of surgeries performed on Monday thru Friday. At the 0.05 significance level, can we conclude there is a difference in the mean number of surgeries performed by hospital or by the day of the week?

The table shows a short excerpt from the "car weight and mileage" data file on the text CD. That file lists several 2004 model cars with automatic transmission and their x = weight (in pounds) and y = mileage (miles per gallon of gas). The scatterplot is roughly linear and r = -0.74. The regression equation is  = 47.140 - 0.0051x.

(a) Find the predicted mileage and residual for a Hummer H2.

(b) Use this information in a sentence.
The Hummer gets miles/gallon  ---Select--- (fewer) (more) than one would predict.
(c)  % (Enter a number between 0 and 100; 2 decimal places) of the variability in  ---Select--- (Mileage) (Weight) can be explained by  ---Select--- (Mileage) (Weight)

Use the following information to answer the questions. A more recent study of Feline High-Rise Syndrome (FHRS) included data on the month in which each of 119 cats fell ( Vnuk et al. 2004) The data are in the accompanying table. Can we infer that the rate of cat falling varies between months of the year?

Month Number fallen

January 4

February 6

March 8

April 10

May 9

June 14

July 19

August 13

September 12

October 12

November 7

December 5

1. Assume a catfall is equally likely to occur in each month and carry out a suitable test.

2. Assume a catfall is equally likely to occur on each day and carry out a suitable test. Use a calendar for a non-leap year to obtain the needed probabilities.

3. Which method out of (a) and (b) would be best to use, if it were reasonable to assume that a cat could fall at any moment? Explain, briefly.

A study has been conducted on the rate of depression and
their relation to demographic features such as age, race, gender,
etc. The survey was administered to 155 patients and it was found
women are more likely to be depressed compared to men (Data
extracted from: Gottlieb SS, Khatta M, Friedmann E, et al. The influence
of age, gender, and race on the prevalence of depression in
heart failure patients. J Am Coll Cardiol. 2004; 43(9):1542-1549.
doi:10.1016/j.jacc.2003.10.064.). The following data related to the
depression and the gender has been imported from the study:

Depressed Not Depressed Total
Men 54 68 122
Women 21   12 33
Total 75   80 155

a. Set up the null and alternative hypotheses to determine whether
there is a difference in the depression levels of men and women.
b. At 0.05 significance level, compute x2 STAT. Is there any evidence
of a significant difference between the proportion of men
and women and their depression levels?
c. Determine the p-value in (a) and interpret its meaning.

Use the following information to answer the questions. A more recent study of Feline High-Rise Syndrome (FHRS) included data on the month in which each of 119 cats fell ( Vnuk et al. 2004) The data are in the accompanying table. Can we infer that the rate of cat falling varies between months of the year?

Month Number fallen

January 4

February 6

March 8

April 10

May 9

June 14

July 19

August 13

September 12

October 12

November 7

December 5

1. Assume a catfall is equally likely to occur in each month and carry out a suitable test.

2. Assume a catfall is equally likely to occur on each day and carry out a suitable test. Use a calendar for a non-leap year to obtain the needed probabilities.

3. Which method out of (1.) and (2.) would be best to use, if it were reasonable to assume that a cat could fall at any moment? Explain, briefly.

The data below are yields for two different types of corn seed that were used on adjacent plots of land. Assume that the data are simple random samples and that the differences have a distribution that is approximately normal. Construct a​ 95% confidence interval estimate of the difference between type 1 and type 2 yields. What does the confidence interval suggest about farmer​ Joe's claim that type 1 seed is better than type 2​ seed? Type 1, 2098 1931 2053 2415 2207 2004 2221 1592 Type 2, 2065 1962 2061 2448 2145 1969 2146 1491 In this​ example, mu d is the mean value of the differences d for the population of all pairs of​ data, where each individual difference d is defined as the type 1 seed yield minus the type 2 seed yield. The​ 95% confidence interval is nothingless thanmu Subscript dless than nothing. ​(Round to two decimal places as​ needed.)

Foreign currency analysis of NVIDIA Corp which is an American technology company which is based in Santa Clara, California. Nvidia now operates broadly as a visual computing company and serves its customers in two primary segments: GPU (graphics processing units) and Tegra processors Explain the business activities and environment of NVIDIA Corp from the perspective of foreign currency and identify three currencies that NVIDIA Corp is exposed against. This can be due to its business structure (i.g. location of factories, customers and suppliers, and the currency that the products/services are quoted), and arising from the competition against its rivals. State the rationales of your selection and references.

QuickE Lube has been monitoring its customer service times over the past 5 days. Each day they took a sample of 10 customers and recorded the actual service times for those customers. The table below shows the sample mean and sample range for each of the 5 past samples. Excel access Sample 1 2 3 4 5 Mean 22 19 19.4 22.0 21.8 Range 4.4 5.1 3.2 2.9 1.0 What is the three-sigma upper control limits (UCL Only)the company should use to construct an X-bar chart for this service time data?  

Starbucks does have optimistic status for their great company culture. Do you believe customers can sense a difference between company owned stores and franchisee/licensee institutions? That would not be great for business as whole, particularly when that culture has some impact on selling $5+ lattes.