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An association of Realtors reports stateebyestate median existingehome prices for each quarter. Why do you suppose they use the median instead of the mean? What might be the disadvantage of reporting the mean? Choose the correct answer below. 0A. 03. go. on. Home prices probably have a symmetric distribution which makes the median a better representation of the center than the mean. Reporting the mean would give the impression that the "typical" home price is much lower or higher than it actually is. Home prices are discrete data. and the median should always be reported instead of the mean for discrete data. Reporting the mean would have the disadvantage of being more difcult to interpret. Home prices are probably skewed to the left and not symmetric. This makes the median a better representation of the center than the mean which would be inuenced by the extremely low priced homes. Reporting the mean would give the impression that the \"typical\" home price is lower than it is. Home prices are probably skewed to the right and not symmetric. This makes the median a better representation of the centerthan the mean which would be inuenced by the extremely high priced homes. Reporting the mean would give the impression that the \"typical" home price is higher than it is Construct the cumulative frequency distribution for the given data. Daily Low Temperature (OF) Cumulative Daily Low (F) Frequency Frequency 35-39 Less than 40 40-44 45-49 Less than 45 50-54 Less than 50 55-59 Less than 55 60-64 65-69 Less than 60 Less than 65 Less than 70 Construct the cumulative frequency distribution. . . .Identify the type of sampling used (random, systematic, convenience, stratified, or cluster sampling) in the situation described below. In a poll conducted by a certain research center, 768 adults were called after their telephone numbers were randomly generated by a computer, and 85% were able to correctly identify the vice president. . . . Which type of sampling did the research center use? O Convenience sampling O Systematic sampling O Random sampling O Stratified sampling O Cluster samplingA group of adult males has foot lengths with a mean of 27.75 cm and a standard deviation of 1.23 cm. Use the range rule of thumb for identifying significant values to identify the limits separating values that are significantly low or significantly high. Is the adult male foot length of 24.9 cm significantly low or significantly high? Explain. Significantly low values are cm or lower. (Type an integer or a decimal. Do not round.) Significantly high values are | cm or higher. (Type an integer or a decimal. Do not round.) Select the correct choice below and fill in the answer box(es) to complete your choice. O A. The adult male foot length of 24.9 cm is significantly high because it is greater than cm. (Type an integer or a decimal. Do not round.) O B. The adult male foot length of 24.9 cm is not significant because it is between cm and cm. (Type integers or decimals. Do not round.) O C. The adult male foot length of 24.9 cm is significantly low because it is less than cm. (Type an integer or a decimal. Do not round.)The frequency distribution below represents frequencies of actual low temperatures recorded during the Choose the correct histogram below. course of a 31-day month. Use the frequency distribution to construct a histogram. Do the data appear to have a distribution that is approximately normal? O A. O B. Class Frequency A 39 - 44 10- B 45- 50 C 51 -56 D 57 -62 13 ABCDEFG E 63-68 O C. O D. F 69 - 74 G 75 - 80 10- O-ABCDEFG ABCDEFG Do the data appear to have a distribution that is approximately normal? O A. Yes, it is approximately normal. O B. No, it is not at all symmetric. O C. No, it is completely erratic. O D. No, it is approximately uniform.Explain why Social Security Number is conSidered a qualitative variable even though it contains numbers. Choose the correct answer below. 0 A. Social Security Number is a qualitative variable since there are an innite number of possible values that are not countable O B. Addition and subtraction of Social Security Numbers does not provide meaningful results. This makes it qualitative even though it is numeric. O D. Social Security Number is a qualitative variable since there are a nite or countable number of values. 0 D. Since Social Security Number is a variable at the interval level of measurement, it must be qualitative rather than quantitative. A sample of blood pressure measurements is taken from a data set and those values (mm Hg) are listed below. The values are matched so that subjects each have systolic and diastolic measurements. Find the mean and median for each of the hiiio samples and then compare the two sets of results. Are the measures of center the best statistics to use with these data? What else mig ht be better? Systolic: 123 132 106 154 119 115 100 103 159 1485'; Diastolic: 82 73 T1 T7 80 85 89 V0 91 58 Find the means. The mean for systolic is mm Hg and the mean for diastolic is mm Hg. (Type integers or decimals rounded to one decimal place as needed ) Find the medians. The median for systolic is mm Hg and the median for diastolic is mm Hg (Type integers or decimals rounded to one decimal place as needed ) Compare the results. Choose the correct answer below. 0 A. The median is lower for the diastolic pressure, but the mean is lower for the systolic pressure. 0 B. The mean and the median for the diastolic pressure are both lower than the mean and the median for the systolic pressure. 0 C. The mean is lower for the diastolic pressure, but the median is lower for the systolic pressure. 0 D. The mean and the median for the systolic pressure are both lowerthan the mean and the median tor the diastolic pressure. 0 E. The mean and median appear to be roughly the same for both types of blood pressure. Are the measures of center the best statistics to use with these data? 0 A. Since the sample sizes are equal, measures of center are a valid way to compare the data sets. 0 B. Since the systolic and diastolic blood pressures measure different characteristics, a comparison ofthe measures of center doesn't make sense. D Determine which of the four levels of measurement (nominal, ordinal, interval, ratio) is most appropriate for the data below, Alert system of yellow (lowest), orange, and red (highest) Choose the correct answer below, 0 A. The ordinal level of measurement is most appropriate because the data can be ordered, but differences (obtained by subtraction) cannot be found or are meaningless, O B. The nominal level of measurement is most appropriate because the data cannot be ordered, 0 C. The interval level of measurement is most appropriate because the data can be ordered, differences (obtained by subtraction) can be found and are meaningful, and there is no natural starting point, 0 D. The ratio level of measurement is most appropriate because the data can be ordered, differences (obtained by subtraction) can be found and are meaningful, and there is a natural starting point, The following stem-and-leaf plot shows the daily high temperature in a town on April 15 for twenty-four random years. Which measures of center and spread are most 5 1 1223466678 appropriate for this data? 6 0012449 7 236 8 12 0 Choose the correct answer below. O A. median and interquartile range O B. median and standard deviation O C. mean and interquartile range O D. mean and standard deviationA study was conducted to determine how peopte get jobs. The table below lists data from 400 randomly selected subjects Job Sources I Frequency Helprwanted ads (H) 21 Executive search rms (E) 42 Networking (N) 293 Mass mailing (M) 72 so 25 20 15 10 50 U N M E H Cheese the correct pie chad. ' Help-wanted ads (H) I Executive search firms (E [I Networking (N) I Mass mailing (M) I] Executive search rm; (E Compare the pie chart found above to the Pareto chart given on the left, Can you determine which graph is more effective in showing the relative importance ofjob sources? 0 A. The Pareto chart is more effective. 0 B. Neither one is effective 0 C. The pie chart is more effective