а Create a stem plot. (Enter numbers from smallest to largest separated by spaces. Enter NONE for stems with no values.)

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а Create a stem plot. (Enter numbers from smallest to largest separated by spaces. Enter NONE for stems with no values.) The data are daily high temperatures in a town for one month. 60, 60, 61, 62, 63, 65, 65, 65, 68, 69, 70, 70, 70, 71, 71, 72, 74, 74, 74, 75, 75, 75, 76, 76, 77, 78, 78, 79, 79, 93 Stem Leaf 00123555 89 x 000112 44 455566 78 899 6 7 8 NONE 9 3 Identify any outliers. (Enter your answers as a comma-separated list. If there are no outliers enter NONE.) NONE x +
Twenty-five randomly selected students were asked the number of movies they watched the previous week. The results are as follows. # of movies Frequency 0 5 1 8 2 6 3 5 4 1 (a) Find the sample mean x. (Enter your answer to two decimal places.) x = 1.28 (b) Find the approximate sample standard deviation, s. (Round your answer to two decimal places.) S=
Part (1) If our population were all professional football players, would the above data be a sample of weights or the population of weights? Why? The above data would be a sample of weights because they represent all of the players from one year. The above data would be a sample of weights because they represent a subset of the population of all football players. The above data would be a population of weights because they represent all of the football players. The above data would be a population of weights because they represent all of the players on a team. Part (9) If our population included every team member who ever played for the San Francisco 49ers, would the above data be a sample of weights or the population of weights? Why? The data would be a population of weights because they represent all of the players that have ever played for the San Francisco 49ers. The data would be a sample of weights because they represent all of the professional football players. The data would be a population of weights because they represent all of the professional football players. The data would be a sample of weights because they represent all of the players on the San Francisco 49ers for one year.