![Question 5 (10 points): Te umber of television viewing hours per household is one factor affocting television ndvertising me. A random smple of 20 households in a partieular viewing area produood the following estimates of viewing hours pee houschold .5 60 1.0 33 4.0 7.5 52 9.5 8.0 3.5 9.0 30 6.5 24 5.0 (a) Find the mesn and standard deviation far these 30 viewing hours per household. To speed up your cakulation, you are given Σ31㎡-68332] b) Onder the data from amallest to largyst s) Find the -scores for the amalleet and laret viewing houns. s there any eason to believe that the hous are umsally large or small? Explain Question 6 (16 point): Refer to the viewing hoar data in Question 5 (a) Find the five-number ammary for this data set b) Construct a box plot for the data c) Are there any urmmally large or mall viewing burs identified by the box plot d)Construct a stem and leaf display for the viewing hours, How woukl you dleecribe the shape of the distribution Does the shape of the box plot confirm this reeal](http://img.homeworklib.com/questions/f62d1ce0-42fb-11ea-b736-d140c60e9af9.png?x-oss-process=image/resize,w_560)
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Question 5 (10 points): The number of television viewing hours per household is one factor affecting...
Question 5 (10 points): The number of television viewing hours per household is one factor affecting...
Question 5 (10 points): The number of television viewing hours per household is one factor affecting television advertising income. A random sample of 20 households in a particular viewing area produced the following estimates of viewing hours per household: 3.2 6.0 6.5 8.3 4.2 5.5 6.0 1.0 3.5 4.0 7.5 5.2 9.5 8.0 3.5 9.0 3.0 65 2.4 5.0 (a) Find the mean and standard deviation for these 20 viewing hours per household. To speed up your calculation, you are...
A random sample of 20 households in a particular viewing area produced the following estimates of...
A random sample of 20 households in a particular
viewing area produced the following estimates of viewing hours per
household:
3.2
6.0
6.5
8.3
4.2
5.5
6.0
1.0
3.5
4.0
7.5
5.2
9.5
8.0
3.5
9.0
3.0
6.5
2.4
5.0
hours are saly Arge or stthalne Xpa Question 6 (16 points): Refer to the viewing hour data in Question 5. (a) Find the five-number summary for this data set (b) Construct a box plot for the data. (c) Are there...
Using the data in question 5 to solve question 6 please. Deskt .5 6.0 10 3.5...
Using the data in question 5 to solve question 6
please.
Deskt .5 6.0 10 3.5 40 7.5 5.2 9.5 8.0 3.5 9.0 3.0 6.5 2.4 5.0 (a) Find the mean and standard deviation for these 20 viewing hours per household. [To speed up your calculation, you are given 683.32] (b) Order the data from smallest to largest (c) Find the a-soores for the smallest and largest viewing hours. Is there any reason to believe that these hours are unusually...
Question 6 (16 points): Refer to the viewing hour data in Question 5 (a) Find the...
Question 6 (16 points): Refer to the viewing hour data in Question 5 (a) Find the five-number summary for this data set. (b) Construct a box plot for the data. (c) Are there any unusually large or small viewing hours identified by the box plot (d) Construct a stem and leaf display for the viewing hours. How woukd you describe the shape of the distribation? Does the shape of the box plot confirm this result? Total Points: 70
The data show the number of hours of television watched per day by a sample of...
The data show the number of hours of television watched per day by a sample of 28 people. Use technology to answer parts (a) and (b) below. 55 99 77 00 11 00 66 77 44 00 99 33 55 44 22 55 77 00 00 77 88 33 88 00 22 88 88 00 a. Find the data set's first, second, and third quartiles. Upper Q 1Q1 equals= nothing Upper Q 2Q2 equals= nothing Upper Q 3Q3 equals= nothing...
Question 5 (13 points) A random sample of 20 NAU students were asked how many hours...
Question 5 (13 points) A random sample of 20 NAU students were asked how many hours of television they watch each week. The following is StatKey output for this data. Bootstrap Dotplot of Mean 400 Left Tail Two-TallRight Tail 350 samples - 10000 mean 5.453 std. error -0.511 Original Samp n-20, mean - 5.45 median-5, stdey - 15 10 5 300 0 250 2 4 200 150 0.025 0.950 0.025 100 Bootstrap Sam Show Data Table n-20, mean - 5.05...
Jobs and productivity! How do retail stores rate? One way to answer this question is to examine annual profits per employee. The following data give annual profits per employee (in units of 1 thousand...
Jobs and productivity! How do retail stores rate? One way to answer this question is to examine annual profits per employee. The following data give annual profits per employee (in units of 1 thousand dollars per employee) for companies in retail sales. Assume σ ≈ 3.9 thousand dollars. 3.5 6.9 4.0 9.0 7.5 6.0 8.6 6.3 2.6 2.9 8.1 −1.9 11.9 8.2 6.4 4.7 5.5 4.8 3.0 4.3 −6.0 1.5 2.9 4.8 −1.7 9.4 5.5 5.8 4.7 6.2 15.0 4.1...
Jobs and productivity! How do retail stores rate? One way to answer this question is to examine annual profits per employee. The following data give annual profits per employee (in units of one thousa...
Jobs and productivity! How do retail stores rate? One way to answer this question is to examine annual profits per employee. The following data give annual profits per employee (in units of one thousand dollars per employee) for companies in retail sales. Assume σ ≈ 4.1 thousand dollars. 3.7 6.8 3.5 8.7 8.5 5.3 8.8 5.9 2.6 2.9 8.1 −1.9 11.9 8.2 6.4 4.7 5.5 4.8 3.0 4.3 −6.0 1.5 2.9 4.8 −1.7 9.4 5.5 5.8 4.7 6.2 15.0 4.1...
Question 5 (10 points): The number of television viewing hours per household is one factor affecting television advertising income. A random sample of 20 households in a particular viewing area produced the following estimates of viewing hours per household: 3.2 6.0 6.5 8.3 4.2 5.5 6.0 1.0 3.5 4.0 7.5 5.2 9.5 8.0 3.5 9.0 3.0 65 2.4 5.0 (a) Find the mean and standard deviation for these 20 viewing hours per household. To speed up your calculation, you are...
A random sample of 20 households in a particular
viewing area produced the following estimates of viewing hours per
household:
3.2
6.0
6.5
8.3
4.2
5.5
6.0
1.0
3.5
4.0
7.5
5.2
9.5
8.0
3.5
9.0
3.0
6.5
2.4
5.0
hours are saly Arge or stthalne Xpa Question 6 (16 points): Refer to the viewing hour data in Question 5. (a) Find the five-number summary for this data set (b) Construct a box plot for the data. (c) Are there...
Using the data in question 5 to solve question 6
please.
Deskt .5 6.0 10 3.5 40 7.5 5.2 9.5 8.0 3.5 9.0 3.0 6.5 2.4 5.0 (a) Find the mean and standard deviation for these 20 viewing hours per household. [To speed up your calculation, you are given 683.32] (b) Order the data from smallest to largest (c) Find the a-soores for the smallest and largest viewing hours. Is there any reason to believe that these hours are unusually...
Question 6 (16 points): Refer to the viewing hour data in Question 5 (a) Find the five-number summary for this data set. (b) Construct a box plot for the data. (c) Are there any unusually large or small viewing hours identified by the box plot (d) Construct a stem and leaf display for the viewing hours. How woukd you describe the shape of the distribation? Does the shape of the box plot confirm this result? Total Points: 70
Question 5 (13 points) A random sample of 20 NAU students were asked how many hours of television they watch each week. The following is StatKey output for this data. Bootstrap Dotplot of Mean 400 Left Tail Two-TallRight Tail 350 samples - 10000 mean 5.453 std. error -0.511 Original Samp n-20, mean - 5.45 median-5, stdey - 15 10 5 300 0 250 2 4 200 150 0.025 0.950 0.025 100 Bootstrap Sam Show Data Table n-20, mean - 5.05...
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