Male body temperatures are approximately normally distributed with a mean of 98.2°F and a population standard deviation of 0.70°F. The next two questions assess separate steps in finding the body temperature at the 94th percentile. Enter numerical answers only. Follow the rounding directions for each question.

Your elderly co-worker dreams of living in downtown New York City. Using the relationship in these data, explain what you could tell her about the cost-of-living in such a dense city. In your explanation: Describe the direction and strength of the relationship. Explain what the relationship suggests about cost-of-living as city size increases. Explain why this correlation does not prove that living in a larger city causes higher living costs or provide a precise prediction for New York City.

An in-class survey was given to a random sample of 50 students enrolled in a large introductory statistics course. 25 of the students were female and 25 were male. One question asked students to provide their shoe size, in inches. Another question asked students to provide the number of body piercings he or she had. The graph below presents a scatterplot of the students’ responses to these two questions.   What is the best estimate of the correlation between shoe size and number of body piercings? You do not need to do any calculations. Just estimate based on the scatterplot. 

The next three questions use data from eight U.S. metropolitan areas. An elderly coworker is considering retirement and dreams of living near Times Square in New York City. They wonder whether more densely populated metropolitan areas tend to have higher overall prices. You’ve excitedly taken up the task of helping her find out! Use this data you’ve collected to answer the next three questions: Metropolitan area Population density All-Items RPP New York–Newark–Jersey City 3,276 112.6 Chicago–Naperville–Elgin 1,363 103.6 Denver–Aurora–Centennial 371 105.8 Orlando–Kissimmee–Sanford 847 101.4 Kansas City 313 92.5 Tallahassee 166 93.9 Miami–Fort Lauderdale–West Palm Beach 1,261 114.2 Seattle–Tacoma–Bellevue 709 111.1 The data are drawn from current Census metro population estimates, Census Gazetteer land-area data, and BEA regional price parities.   You can download the data here for using elsewhere: Data Table You’re allowed to use your calculator, Excel, SPSS, R, or an online tool. But you cannot use ChatGPT or any other AI/Large Language Model to run your calculations. 

Using the two probabilities you just calculated for contacting pneumonia, compare the overall probability of having pneumonia with the probability of having pneumonia given that a person is male. Based on these probabilities, does being male appear to increase or decrease the association of having pneumonia?

Identify the term used at position #2.  

Identify the area represented by #3.

Identify the type of section shown in image A.  

Identify the direction located at #1.

Identify the area represented by #10.