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- The following table shows the number of active military personnel in 2009, by reglon (including the District of Columbia). 229,834 Mountain 89,816 West South Central 177,336 Pacific West North Central 64,564 East North Central 26,384 East South Central 68,440 South Atlantic 376.034 Middle Atlantic 4 41,441 New England 8,579 Source: U.S. Census Bureau, Statistical Abstract of the United States: 2012, Table 508 (data) and U.S. Census Bureau, Census Regions and Divisions of the United States (regions) a. Calculate the mean and standard deviation for the population. b. Now take 10 samples of size 3 from the population. Use either simple randonm sampling or systematic sampling with the help of the table of random numbers in Appendix A. Calculate the mean for each sample. c. Once you have calculated the mean for each sample, calculate the mean of means (ie., add up your 10 sample means and divide by 10). How does this mean compare with the mean for all states? How does the value of the…The following table shows the number of active military personnel in 2009, by region (including the District of Columbia). Pacific 229,634 Mountain 89,816 West South Central 177,336 West North Central 64,564 East North Central 26,384 East South Central 68,440 South Atlantic 376,034 Middle Atlantic 41,441 New England 8,579 Source: U.S. Census Bureau, Statistical Abstract of the United States: 2012, Table 508 (data) and U.S. Census Bureau, Census Regions and Divisions of the United States (regions). Calculate the mean and standard deviation for the population. Now take 10 samples of size 3 from the population. Use either simple random sampling or systematic sampling with the help of the table of random numbers in Appendix A. Calculate the mean for each sample. Once you have calculated the mean for each sample, calculate the mean of means (i.e., add up your 10 sample means and divide by 10). How does this mean compare with the mean for all…Suppose we want to estimate the annual high temperatures of the hottest major cities in the United States. Below is data from 12 cities with the average annual temperature taken from 1971 to 2000 City Temperature (Fahrenheit) Phoenix, Arizona 87.2 Miami, Florida 84.3 Orlando, Florida 82.8 Riverside, California 80.9 Austin, Texas 79.8 Houston, Texas 79.7 San Antonio, Texas 80.3 Las Vegas, Nevada 80.1 Jacksonville, Florida 79.3 New Orleans, Louisiana 78.2 Tampa, Florida 81.7 Los Angeles, California 75.2 What's the population for this study? What's the sample for this study?
- The following frequency table contains the total number of deaths worldwide as a result of earthquakes from 2000 to 2012. Year Deaths 2000 231 2001 21,357 2002 11,685 2003 33,819 2004 228,802 2005 88,003 2006 6,605 2007 712 2008 88,011 2009 1,790 2010 320,120 2011 21,853 2012 768 Total 823,756 What is the frequency of deaths from 2006 through 2009?According to the document Consumer Expenditures, a publication of the Bureau of Labor Statistics, the average consumer spent $1736 on apparel and services in the last year. A researcher believes that consumers in the Northeast spent more on average. The researcher sampled 25 consumers in the Northeast and recorded the amount they spent on apparel and services in the last year. The data is listed below: 1279 1457 2020 1682 1273 2223 2233 2192 1611 1734 2688 2029 2166 1860 2444 1844 1765 2267 1522 2012 1990 1751 2113 2202 1712 At the 0.05 level of significance, does the data provide evidence to suggest that consumers in the Northeast spend more on average than the national average reported in the Bureau of Labor Statistics? What is the p-value for this hypothesis test? Round to three decimal places.According to the document Consumer Expenditures, a publication of the Bureau of Labor Statistics, the average consumer spent $1736 on apparel and services in the last year. A researcher believes that consumers in the Northeast spent more on average. The researcher sampled 25 consumers in the Northeast and recorded the amount they spent on apparel and services in the last year. The data is listed below: 1279 1457 2020 1682 1273 2223 2233 2192 1611 1734 2688 2029 2166 1860 2444 1844 1765 2267 1522 2012 1990 1751 2113 2202 1712 At the 0.05 level of significance, does the data provide evidence to suggest that consumers in the Northeast spend more on average than the national average reported in the Bureau of Labor Statistics?
- According to the document Consumer Expenditures, a publication of the Bureau of Labor Statistics, the average consumer spent $1736 on apparel and services in the last year. A researcher believes that consumers in the Northeast spent more on average. The researcher sampled 25 consumers in the Northeast and recorded the amount they spent on apparel and services in the last year. The data is listed below: 1279 1457 2020 1682 1273 2223 2233 2192 1611 1734 2688 2029 2166 1860 2444 1844 1765 2267 1522 2012 1990 1751 2113 2202 1712 At the 0.05 level of significance, does the data provide evidence to suggest that consumers in the Northeast spend more on average than the national average reported in the Bureau of Labor Statistics? What is the correct conclusion for this test? Question 9 options: Fail to reject the null hypothesis because the p-value is less than the level of significance. Fail to reject the null hypothesis because the…According to the document Consumer Expenditures, a publication of the Bureau of Labor Statistics, the average consumer spent $1736 on apparel and services in the last year. A researcher believes that consumers in the Northeast spent more on average. The researcher sampled 25 consumers in the Northeast and recorded the amount they spent on apparel and services in the last year. The data is listed below: 1279 1457 2020 1682 1273 2223 2233 2192 1611 1734 2688 2029 2166 1860 2444 1844 1765 2267 1522 2012 1990 1751 2113 2202 1712 At the 0.05 level of significance, does the data provide evidence to suggest that consumers in the Northeast spend more on average than the national average reported in the Bureau of Labor Statistics? What is the p-value for this hypothesis test? Question 8 options: 0.001 0.004 0.007 0.2223