#3) From the StatCrunch website, open data Body Temperatures Male vs Female last edited January 5, 2021. This data represents body temperature and heart rate measurements taken from a random sample of 130 healthy adults. (The data is also broken down by gender, but we'll use all measurements together) a) Go to GRAPH, QQ PLOT. Select column Body Temp" (column 2) and COMPUTE. Copy the output to your lab. b) According to the normal probability plot in part a, what is the shape of the distribution of the Body Temp" data? What characteristic of the normal probability plot allows you to draw that conclusion? c) Using "Summary stats find ONLY the mean and standard deviation of the Body Temp" data. (Hint: click Mean, hold down Command, click Std Dev") Copy the output to your lab. d) In StatCrunch, go to STAT, CALCULATORS, NORMAL. Using your mean and standard deviation from partc, both rounded to the nearest tenth, find the probability that a healthy human has a body temperature less than 98.6 degrees. Copy the output to your lab. e) Provide two interpretations of your result from part d. Be specific. f) Using similar steps from #1d, find the probability that a randomly selected healthy human has a body temperature between 97 and 99 degrees. Copy the output to your lab. #4) Refer to problem #3. a) Suppose a random sample of 20 healthy humans is randomly selected. Identify the distribution of the variable , that is, its shape, mean, and standard deviation. You must justify the shape of the distribution! (Hint: use parts b and c from #3) Round the standard deviation to the nearest thousandth. b) Using the normal calculator and your answers to part a, find the probability that the mean body temperature in a random sample of 20 healthy humans is at least 98.6 degrees. Copy the output to your lab. c) Find the probability that the mean body temperature in a random sample of 20 healthy humans is between 98.2 and 98.3 degrees. Copy the output to your lab. #3) From the StatCrunch website, open data Body Temperatures Male vs Female last edited January 5, 2021. This data represents body temperature and heart rate measurements taken from a random sample of 130 healthy adults. (The data is also broken down by gender, but we'll use all measurements together) a) Go to GRAPH, QQ PLOT. Select column Body Temp" (column 2) and COMPUTE. Copy the output to your lab. b) According to the normal probability plot in part a, what is the shape of the distribution of the Body Temp" data? What characteristic of the normal probability plot allows you to draw that conclusion? c) Using "Summary stats find ONLY the mean and standard deviation of the Body Temp" data. (Hint: click Mean, hold down Command, click Std Dev") Copy the output to your lab. d) In StatCrunch, go to STAT, CALCULATORS, NORMAL. Using your mean and standard deviation from partc, both rounded to the nearest tenth, find the probability that a healthy human has a body temperature less than 98.6 degrees. Copy the output to your lab. e) Provide two interpretations of your result from part d. Be specific. f) Using similar steps from #1d, find the probability that a randomly selected healthy human has a body temperature between 97 and 99 degrees. Copy the output to your lab. #4) Refer to problem #3. a) Suppose a random sample of 20 healthy humans is randomly selected. Identify the distribution of the variable , that is, its shape, mean, and standard deviation. You must justify the shape of the distribution! (Hint: use parts b and c from #3) Round the standard deviation to the nearest thousandth. b) Using the normal calculator and your answers to part a, find the probability that the mean body temperature in a random sample of 20 healthy humans is at least 98.6 degrees. Copy the output to your lab. c) Find the probability that the mean body temperature in a random sample of 20 healthy humans is between 98.2 and 98.3 degrees. Copy the output to your lab
