ncance. Ho: Diagram: H1: Statistical Variables: P-Value: Test Statistic: Conclusion and Interpretation:

The following data (in thousands of euros) represent the net annual income for a sample of taxpayers in U.S.    47,55,18,24,27,41,50,38,33,29,15,77,64,22,19,35,39,41 67,55,121,77,80,34,41,48,60,30,22,28,84,55,26,105,62, 30,17,23,31,28,56,64,88,104,115,39,125,18,21,30,57,40 38,29,19,46,40,49,72,70,37,39,18,22,29,52,94,86,23,36   Graph this data set in a frequency histogram having 5 class intervals. Graph this data set in a frequency histogram having 10 class intervals. Which histogram do you think is more informative? Why?

A report provided the following information on gender of smartphone users for representative samples of young people age 15 to 24 in several different countries. Country Percent Female Percent Male United States 53% 47% Spain 38% 62% Italy 37% 63% India 19% 81% (a) Suppose the sample sizes were 1000 for the United States and for India and 500 for Spain and Italy. Complete the following two-way table by entering the observed counts. Country Female Male United States     Spain     Italy     India     (b) Carry out a hypothesis test to determine if there is convincing evidence that the gender proportions are not the same for all four countries. Use a significance level of 0.05. State the null and alternative hypotheses. H0: The gender proportions of smartphone users are not the same for all countries. Ha: The gender proportions of smartphone users are the same for all countries.H0: The gender proportions of smartphone users are the same for all…

The data below contains mileage, age, and selling price for a sample of 33 sedans. Price Mileage Age 16,998 35,000 3 17,599 16,000 3 15,998 42,000 3 15,998 62,000 4 11,599 102,000 7 12,998 109,000 4 14,998 60,000 5 11,599 88,000 9 12,599 58,000 8 14,998 27,000 6 15,998 32,000 3 Price Mileage Age 11,599 95,000 8 9,499 123,000 8 14,599 54,000 5 10,599 68,000 10 16,998 40,000 4 20,998 7,000 0 11,599 80,000 9 12,599 70,000 6 13,599 86,000 5 11,599 92,000 7 9,599 120,000 10 Price Mileage Age 18,998 20,000 2 12,599 63,000 7 12,599 70,000 6 10,998 88,000 10 11,998 86,000 6 13,998 60,000 6 17,599 45,000 2 9,998 95,000 11 9,998 60,000 11 16,998 36,000 2 17,599 45,000 2 #1) Is multicollinearity an issue for this model? Find the correlation between the independent variables to answer this question.(Round your answer to two decimal places.) The correlation between age and mileage is: ____________     #2) Find…

Video game console use: A market research company estimated the number of people in various gender and age categories who use video game consoles. The results are presented in the following frequency distribution.   Gender andAge Group Frequency (in millions) Males  2 - 11 12.6 Females  2 - 11 15.8 Males  12 - 17 14.8 Females  12 - 17 6.5 Males 18 - 34 15.4 Females 18 - 34 11.0 Males  35 - 49 10.7 Females  35 - 49 10.8 Males  +50 2.5 Females  +50 4.0   Construct a relative frequency distribution for each category. Round the answers to three decimal places.

Age discrimination: The following table presents the numbers of employees, by age group, who were promoted, or not promoted, in a sample drawn from a certain industry during the past year. Age Under 30 30-39 40-49 50 and Over MT 23 23 29 47 Promoted Not promoted Send data to Excel 11 39 6 37 Can you conclude that the people in some age groups are more likely to be promoted than those in other age groups? Use Excel and the a=0.01 level of significance. We (Choose one) the null hypothesis. There (Choose one) enough evidence at the a=0.01 level of significance to say that people in some age groups are more likely to be promoted. X

Hospitals In a study of births in New York State, data were collected from four hospitals coded as follows: (1) Albany Medical Center; (1438) Bellevue Hospital Center; (66) Olean General Hospital; (413) Strong Memorial Hospital. Does it make sense to calculate the average (mean) of the numbers 1, 1438, 66, and 413?