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HW 10 (lChapter 5 statistics)-Benny Jones
Please assist in completing the enclosed math assignment. Â Thanks in advanced.
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7/6/2016 HW 10 (lChapter 5 statistics)-Benny Jones Student: Benny Jones Date: 7/6/16 Instructor: Thara Lowndes Course: Math 101 ÂSummer 2016ÂSec. 953 (Choden) Assignment: HW 10 (lChapter 5 statistics) 1. A poll is conducted the day before a state election for Senator. There are only two candidates running for this office. The poll results show that 59 % of the voters favor the Republican candidate, with a margin of error of 2 percentage points. Should the Republican expect to win? Why or why not? Choose the correct answer below. A. The results suggest that the Republican is likely to win a solid majority because he or she will most likely get between 57 % and 61 % of the vote. B. The results suggest that the Republican is just as likely to win or lose the election because 59 % is very close to 50%. C. The results suggest that the Republican is not likely to win a solid majority because, when the margin of error is taken into account, he or she will most likely not get the majority of the vote. 2. In a survey of 1,006 people, 695 (or 69 %) said that they voted in a particular presidential election. The margin of error for this survey was 3 percentage points. However, actual voting records show that only 59 % of all eligible voters actually did vote. Does this imply that people lied when they responded in the survey? Explain. Choose the correct answer below. A. Based on the survey, the actual percentage of voters is expected to be between 66% and 72 %, which does not include the 59 % value based on actual voter results. If the survey was conducted properly, it is unlikely that its results would be so different from the actual results, implying either that respondents intentionally lied to appear favorable to the pollsters or that their memories were inaccurate. B. Based on the survey, when the margin of error is taken into account, the actual voter results are not unusual. Thus, the survey was conducted properly, and it does not imply that people lied when they responded to the survey. 3. What is the distinction between qualitative data and quantitative data? Give a few examples of each. Choose the correct answer below. A. Quantitative data describe categories, while qualitative data represent counts or measures. Brand names of shoes in a consumer survey and eye colors are examples of quantitative data. Heights of students and quiz scores are examples of qualitative data. B. Qualitative data describe categories, while quantitative data represent counts or measures. Brand names of shoes in a consumer survey and eye colors are examples of quantitative data. Heights of students and quiz scores are examples of qualitative data. C. Quantitative data describe categories, while qualitative data represent counts or measures. Brand names of shoes in a consumer survey and eye colors are examples of qualitative data. Heights of students and quiz scores are examples of quantitative data. D. Qualitative data describe categories, while quantitative data represent counts or measures. Brand names of shoes in a consumer survey and eye colors are examples of qualitative data. Heights of students and quiz scores are examples of quantitative data. https://xlitemprod.pearsoncmg.com/api/v1/print/math 1/5 7/6/2016 HW 10 (lChapter 5 statistics)-Benny Jones 4. Decide whether the following statement makes sense (or is clearly true) or does not make sense (or is clearly false). Explain your reasoning. I was unable to make a bar chart, because the data categories were qualitative rather than quantitative. Choose the correct answer below. A. The statement does not make sense because bar graphs are commonly used to show data when the categories are qualitative. B. The statement does not make sense because histograms are commonly used to show data when the categories are qualitative. C. The statement makes sense because bar graphs are commonly used to show data when the categories are quantitative. D. The statement makes sense because bar graphs are commonly used to show data when the categories are qualitative. 5. A professor records the following final grades in one course. Construct a frequency table for the grades. A A A B B B B B B B B C C C C C C C C D D D D F Complete the table. (Type an integer or decimal rounded to the nearest tenth as needed.) Grade Frequency Relative frequency Cumulative frequency A % B % C % D % F % Total 1 = 100% 6. Determine whether the data described are qualitative or quantitative. The area codes (such as 617) of the telephones of survey subjects Choose the correct answer below. quantitative qualitative 7. Determine whether the data described are qualitative or quantitative. The area codes (such as 617) of the telephones of survey subjects Choose the correct answer below. quantitative qualitative https://xlitemprod.pearsoncmg.com/api/v1/print/math 2/5 7/6/2016 HW 10 (lChapter 5 statistics)-Benny Jones 8. Use 4 Âpoint bins (96 to 99 , 92 to 95 , etc.) to make a frequency table for the set of exam scores shown below. Include columns for relative frequency and cumulative frequency. 77    91    80    77    91    88    95    91    87    80    84    99    78    86    91    92    88    89    95    84 Complete the frequency table below. Scores Frequency Relative Frequency 96 to 99 % 92 to 95 % 88 to 91 % 84 to 87 % 80 to 83 % 76 to 79 % Total % Cumulative Frequency 9. Graph the data in the following table using a bar graph. Corporation Revenues, 2001 Corporation a b c d f g Revenue 220 186 179 154 142 123 (million $) Which graph is representative of the above data? A. 280 210 140 70 0 B. Revenue (million) a b c d f g 280 210 140 70 0 C. Revenue (million) a b c d f g 280 210 140 70 0 10. Construct a pie chart for the data set in the table to the right. The first step is to compute a percentage for each category in the data set. The data in the table represents the annual sales (in millions of dollars) of the leading chocolate brands. Revenue (million) a b c d f g Company A B C D All others Sales ($ millions) 252 160 128 127 1334 Choose the correct pie chart below. A. B. A 13.4% B 8.7% C 6.2% D 6.3% Others 65.4% https://xlitemprod.pearsoncmg.com/api/v1/print/math C. A 13.1% B 7.8% C 5.8% D 6.5% Others 66.8% A 258% B 154% C 115% D 129% Others 1321% 3/5 7/6/2016 HW 10 (lChapter 5 statistics)-Benny Jones 11. The following data show priceÂearnings ratios of 30 common stocks chosen at random from a particular stock exchange. Make a frequency table for these data using bins of 0Â4, 5Â9, and so on. Then draw a histogram to display the binned data. 3 9 14 18 24 14 5 7 25 7 13 26 15 8 11 1 16 17 25 26 5 4 10 19 6 23 12 33 30 25 Make a frequency table for these data using bins of 0Â4, 5Â9, and so on. Bin Frequency 0Â4 5Â9 10Â14 15Â19 20Â24 25Â29 30Â34 Draw a histogram to display the binned data. Choose the correct histogram below. 8 8 8 4 0 4 0 0 5 10 15 20 25 30 35 Frequency C. Frequency B. Frequency A. 4 0 0 5 10 15 20 25 30 35 0 5 10 15 20 25 30 35 12. Use thefrequency table for the ages of recent awardÂwinning male actors at the time when they won their award to construct the corresponding histogram. 1 Click the icon to view the frequency table. Choose the correct graph below. 0 20 20 No. of actors 20 C. 0 20 80 Age 80 Age D. 20 No. of actors B. No. of actors No. of actors A. 0 20 80 Age 20 0 20 80 Age 1: Data Table Age No. of actors 20 − 29 0 30 − 39 10 40 − 49 15 50 − 59 5 60 − 69 4 70 − 79 1 https://xlitemprod.pearsoncmg.com/api/v1/print/math 4/5 7/6/2016 HW 10 (lChapter 5 statistics)-Benny Jones 13. A professor had students keep track of their social interactions for a week. The number of social interactions over the week is shown in the following grouped frequency distribution. Construct a histogram and frequency polygon for the data. Social Interactions Frequency A B C D E F G H I J 30 Â34 35 Â39 40 Â44 45 Â49 50 Â54 55 Â59 60 Â64 65 Â69 70 Â74 75 Â79 12 12 18 18 11 12 7 6 1 1 a. Select a histogram representing the given data frequency distribution. 20 15 10 5 0 20 15 10 5 0 No. of Interactions 20 15 10 5 0 A B CDE FG H I J No. of Interactions 20 15 10 5 0 A B CDE FG H I J No. of Interactions A B CDE FG H I J No. of Interactions A B CDE FG H I J b. Select a polygon representing the given data frequency distribution. Frequency 20 16 12 8 4 0 No. of Interactions Frequency Frequency 20 16 12 8 4 0 Frequency 20 16 12 8 4 0 No. of Interactions 20 16 12 8 4 0 No. of Interactions No. of Interactions 14. The table to the right shows the vehicle count that was collected during a tour Category of Car of a student parking lot. American cars a. Use technology to make a frequency table for these data that includes both Japanese cars the relative and cumulative frequencies. English cars b. What is the sum of the frequencies? Other European cars c. What is the sum of the relative frequencies? Motorcycles d. What is the final cumulative frequency? a. Complete the frequency table below. (Type integers or decimals.) Category of Car Frequency Relative Frequency American cars 37 % Japanese cars 33 % English cars 5 % Other European cars 18 % Motorcycles 7 % b. The sum of the frequencies is https://xlitemprod.pearsoncmg.com/api/v1/print/math Cumulative Frequency . c. The sum of the relative frequencies is d. The final cumulative frequency is Frequency 37 33 5 18 7 %. . 5/5