Suppose that the quarterly sales levels among health care information systems companies are approximately normally distributed with a mean of 11 million dollars and a standard deviation of 1.4 million dollars. One health care information systems company considers a quarter a "failure" if its sales level that quarter is in the bottom 10% of all quarterly sales levels. Determine the sales level (in millions of dollars) that is the cutoff between quarters that are considered "failures" by that company and quarters that are not. Carry your intermediate computations to at least four decimal places. Round your answer to one decimal place.

The U.S. Center for Disease Control reports that the mean life expectancy was 47.6 years for whites born in 1900 and 33.0 years for nonwhites. Suppose that you randomly survey death records for people born in 1900 in a certain county. Of the 124 whites, the mean life span was 45.3 years with a standard deviation of 12.7 years. Of the 82 nonwhites, the mean life span was 34.1 years with a standard deviation of 15.6 years. Conduct a hypothesis test at the 0.05 level of significance to see if the mean life spans in the county were the same for whites and nonwhites. a) The null and alternative hypothesis would be: O Ho: pw = PN H: pw > PN H:µw 0.05 d) Make a decision. O Fail to reject the null hypothesis O Reject the null hypothesis e) Write the conclusion. O There is not sufficient evidence to support the claim that whites and nonwhites have different life spans. O There is sufficient evidence to support the claim that whites and nonwhites have different life spans.

Suppose that the quarterly sales levels among health care information systems companies are approximately normally distributed with a mean of 10 million dollars and a standard deviation of 1.2 million dollars. One health care information systems company considers a quarter a "failure" if its sales level that quarter is in the bottom 15% of all quarterly sales levels. Determine the sales level (in millions of dollars) that is the cutoff between quarters that are considered "failures" by that company and quarters that are not. Carry your intermediate computations to at least four decimal places. Round your answer to one decimal place. ☐ million dollars X 5

Suppose a small paint manufacturing company has a daily production that is normally distributed with a mean of 5,000 gallons and a standard deviation of 100 gallons. What percent of the time will the daily production be between 4,950 and 5,050 gallons?   61.7% (from calculator and Table B)38.3% (from calculator and Table B)68.0% (from calculator and Table B)30.9% (from calculator and Table B)

If the students read only 101 books for the month of June, which measure of central tendency will have the greatest change? A. The median will have the greatest change. B. The mean will have the greatest change. C. All measures will have an equal change. D. The mode will have the greatest change.

Provide the null and alternative hypotheses used to address these problems. Make sure that your notation is understandable.

Suppose that the quarterly sales levels among healthcare information systems companies are approximately normally distributed with a mean of 12 million dollars and a standard deviation of 1.1 million dollars. One health care information systems company considers a quarter a "failure" if its sales level that quarter is in the bottom 15% of all quarterly sales levels. Determine the sales level (in millions of dollars) that is the cutoff between quarters that are considered "failures" by that company and quarters that are not. Carry your intermediate computations to at least four decimal places. Round your answer to one decimal place.

One year Chris had the lowest ERA (earned-run average, mean number of runs yielded per nine innings pitched) of any male pitcher at his school, with an ERA of 3.18. Also, Sally had the lowest ERA of any female pitcher at the school with an ERA of 2.52. For the males, the mean ERA was 4.849 and the standard deviation was 0.616. For the females, the mean ERA was 4.766 and the standard deviation was 0.689. Find their respective z-scores. Which player had the better year relative to their peers, Chris or Sally? (Note: In general, the lower the ERA, the better the pitcher.) Chris had an ERA with a z-score of Sally had an ERA with a z-score of (Round to two decimal places as needed.)

Most water treatment facilities monitor the quality of their drinking water on an hourly basis. One variable measured is pH, which measures the degree of alkalinity or acidity in the water. A pH below 7.0 is acidic, one above 7.0 is alkaline, and a pH of 7.0 is neutral. One water-treatment plant has a target pH of 8.5. (Most try to maintain a slightly alkaline level) The mean and standard deviation of 1 hour’s test results based on 49 water samples at this plant are:   = 8.42; s = 0.16 Does this sample provide sufficient evidence that the mean pH level in the water differs from 8.5?  do in excel if needed

The U.S. Department of Agriculture claims that the mean consumption of bottled water by a person in the United States is 28.5 gallons per year. A random sample of 100 people in the United States had a mean bottled water consumption of 27.8 gallons per year with a standard deviation of 4.1 gallons. Does this sample indicate that the mean annual consumption of bottled water for people in the United States is not 28.5 gallons per year? (Reference: U.S. Department of Agriculture) At a 5% level of significance, what is the power of this test against the alternative μ= 27.4? (For this problem only, assume that the standard deviation of the population (i.e. sigma) is 4.1) O 77% 5% 85% 0.90%