11 Health care issues are receiving much attention in both academic and political arenas. A sociologist recently conducted a survey of citizens over 60 years of age whose net worth is too high to qualify for Medical insurance. The ages of 25 senior citizens were as follows: 64 63 74 86 65 70 92 61 60 82 87 81 90 76 76 73 69 89 81 75 73 68 68 62 66 Identify which of the following is the correct statement. a) One fourth of the senior citizens sampled are below 64 years of age. b) All of the above are correct. C) O 25% of the senior citizens sampled are older than 81.5 years of age. d) The middle 50% of the senior citizens sampled are between 65.5 and 73.0 years of age. OBoş bırak

A health statistics agency in a certain country tracks the number of adults who have health insurance. Suppose according to the agency, the uninsured rates in a recent year are as follows: 5.2% of those under the age of 18, 12.9% of those ages 18-64, and 1.3% of those 65 and older do not have health insurance. Suppose 22.4% of people in the county are under age 18, and 62.3% are ages 18-64. (a) What is the probability that a randomly selected person in this country is 65 or older? 15.3 (b) Given that a person in this country is uninsured, what is the probability that the person is 65 or older? (Round your answer to three decimal places.) 0.023 X

. In an upcoming decision to relocate, a new graduate’s decision on location choice comes down to housing prices. The following data are the monthly rental prices for a sample of unfurnished studio apartments in Concord, New Hampshire, and a sample of unfurnished studio apartments in Charleston, West Virginia: Concord$955 $980 $940 $975 $965 $990 $1,240 $1,120Charleston$725 $705 $695 $725 $690 $745 $575 $800a. For each set of data, compute the mean, median, mode, range, standard deviation, and coefficient of variation. b. What conclusions can you draw about unfurnished studio apartments renting in Concord versus Charleston? Compare and contrast.

The table below shows the average income by age group for the residents of one town in the year 1998. The average incomes for each age group are estimates based on a sample of size 100 from each group. Age group Average income 18 - 24 $17,180 25 - 39 $26,661 40 - 54 $32,471 55 – 70 $25,960 Over 70 $18,241 Classify the study as either descriptive or inferential.

A Statistics class reports the following data on Sex and Eye Color for students in the class: Green/Hazel/Other Total Blue 8 Brown 20 34 4 16 32 36 66 Males Females Total 12 16 12 18 a. What percent of the blue-eyed students are male? type your answer... % b. What percent of the class are blue-eyed males? % type your answer... c. What percent of the male students have blue eyes? type your answer... % d. What percent of the students who do not have blue eyes are females? % type your answer... e. What's the conditional distribution of sex for the brown-eyed students? Male: type your answer... % Female: type your answer... % f. What's the conditional distribution of Eye Color for the males? Blue: type your answer... Brown: type your answer... % %

17. Answer the following questions for two stat classes. Test Scores for Class A 99; 56; 78; 55; 32; 90; 80; 81; 56; 59; 45; 77; 85; 84; 70; 72; 68; 32; 79; 90 Test Scores for Class B 99; 78; 68; 83; 81; 89; 88; 76; 65; 45; 98; 90; 80; 85; 84; 79; 78; 98; 90; 79; 81; 324 a. Create a box plot for each set of data. Use one number line for both box plots. b. Which box plot has the widest spread for the middle 50% of the data (the data between the first and third quartiles)? What does this mean for that set of data in comparison to the other set of data?

Each person in a representative sample of 449 college students age 18 to 24 was classified according to age and to the response to the following question: "How often have you used a credit card to buy items knowing you wouldn't have money to pay the bill when it arrived?" Possible responses were never, rarely, sometimes, or frequently. The responses are summarized in the table. Age 18 to 20 Age 21 to 22 Age 23 to 24 Never 73 62 29 Rarely 38 34 32 Sometimes 30 42 40 Frequently 13 24 A USE SALT Do these data provide evidence that there is an association between age group and the response to the question? Test the relevant hypotheses using a = 0.01. State the appropriate null and alternative hypotheses. O H: The proportions falling into each of the three age groups are not the same for all four responses to the question. H: The proportions falling into each of the three age groups are the same for all four responses to the question. O Hg: The proportions falling into each of the three age…

SIS Travel Agency, a nation wide local travel agency, offers special rates on summer perlod. The owner wants additional information on the ages of those people taking travel tours. A random sample of 50 customers taking travel tours last summer revealed these ages. 18 29 37 42 47 49 53 57 61 67 19 31 38 44 48 50 54 58 62 68 24 34 39 45 48 51 54 58 63 70 27 36 39 46 48 51 55 59 64 74 28 36 40 46 49 52 56 60 66 77 B. Determine the P15, P22, , P55, P77 of the frequency distribution and construct the graph.

A researcher wants to study the relationship between salary and gender. She randomly selects 392 individuals and determines their salary and gender. Can the researcher conclude that salary and gender are dependent? Income Male Female Total Below $25,000$⁢25,000 48 45 93 $25,000$⁢25,000-$50,000$⁢50,000 38 36 74 $50,000$⁢50,000-$75,000$⁢75,000 46 40 86 Above $75,000$⁢75,000 68 71 139 Total 200 192 392   State the conclusion of the hypothesis test at the 0.010.01 level of significance.

8) In the US, 4.5% of the population identifies as lesbian, gay, bisexual, or transgender (see, for instance, this report). In the UK, the LGBT community accounts for 1.5% of the population. Which of the following can be inferred from the given information? a) The number of LGBT individuals in the US is greater than that in the UK. b) The proportion of LGBT individuals in the US is 3% greater than the proportion of LGBT individuals in the UK. c) The proportion of LGBT individuals in the UK is 3% less than that in the US. d) The proportion of LGBT individuals in the UK is 200% greater than that in the US. e) The proportion of LGBT individuals in the US is 200% greater than that in the UK.