a) The stem and leaf plot is as:

Where ,3| 2= 32
b) The Five-point summary for the given sample {32, 34, 38, 39,
39, 40, 43, 45, 46, 49, 53, 54, 57, 58, 59, 59, 68, 75}
is :
Minimum=32
Q1= Median of the first half = 39
Q2= median =47.5
Q3= median of the 2nd half data = 58
Maximum=75
c) To find any outlier we need to find the fences for outliers as:
Lower fence= Q1- 1.5 *IQR, where IQR is the interquartile range = Q3-Q1= 58-39=19 so, lower fence
=39-1.5*19
=10.5
Upper limit= Q3+1.5*IQR
=58+1.5*19
=86.5
Since no value lies outside the fence limit hence there is none outliers.
The Box plot is plotted using Excel tool as:

Solve the following: 3. (6 pts.) Eighteen faculty members in a college math department range in...
5. Eighteen faculty members in a college math department range in age from 32 to 68. A stemplot follows: 24899 0 3569 347899 The 1.5 x IQR rule would identify an age as a high outlier if it exceeded years 86.5 19 28.5
Math Previous 1 Next Question 2 of 4 (1 point) Question The following table presents the daily high temperatures for the city of Macon, Georgia, in degrees Farenheit, for the winter months of January and February in a recent year. If there are no leaves, enter "N." Check Answer 67 58 67 56 74 56 58 65 63 77 53 73 57 51 56 48 68 51 66 64 53 78 61 55 69 56 63 61 71 51 66...
48 57 Amy Bakery has four shops in different area in a city. Monthly sales (in thousands of dollars) from a random of 24 months from each of the 4 shops given in Table 1. Table 1: Monthly sales (in thousands of dollars) North East South West 77 75 97 60 45 42 60 54 56 49 68 47 44 39 58 57 63 61 69 51 75 63 79 50 90 81 99 73 32 47 46 41 41...
For questions 1 to 5: A group of 60 university students wrote a test and obtained the following marks (percentages). 5364 72927364 33 7561 84 | 65 58 76 536374 56 71 58 81 75 69 77 65 78 58 41 37 61 79 4074 | 31 | 39 68 75 | 67 89 59 57 | 39 | 71 | 38 | 66 | 69 81 5340 67 62 60 35 37 75 49 36 58 62 46 These...
the first two are the instructions to the assignment and the
last two are the data
MATH.1220 Management Calculus Project #1 Wal Mart Dry Goods Sales 2002-2003 The following items are a guide for responses to be addressed in project one. Note that WalMart's fiscal year starts the first week of February. This means that when analyzing the data, week 26 s actually week 30 (26+4 weeks for January) in 2002 or the end of July 2002. Also, week 52...
Please answer back with a detailed description and logical
thought process. Please go over 1 through 4
Directions: Solve the following problems and answer the following questions. Then record your responses in the corresponding online test feature, paying careful attention to precise and formatting as instructed or noted For Problems #1 through #8, recall the following context Dr. Sue-Pearl Tennant, is the chief administrator for the Pavonia Point Regional School District, serving students grades P through 8. She is reviewing...
Note that WalMart’s fiscal year starts the first week of February. This means that when analyzing the data, week 26 is actually week 30 (26+4 weeks for January) in 2002 or the end of July 2002. Also, week 52 is actually week 4 (52+4 weeks for January 2002 minus 52 weeks for 2002) in 2003 or the end of January 2003. Outliers (extreme values) are present in the data and can distort modeling results. As an example, spikes in sales...
WalMart’s fiscal year starts the first week of February. This means that when analyzing the data, week 26 is actually week 30 (26+4 weeks for January) in 2002 or the end of July 2002. Also, week 52 is actually week 4 (52+4 weeks for January 2002 minus 52 weeks for 2002) in 2003 or the end of January 2003. As an example, the spike in sales (revenue) at week 75 occurs in week 27 (75+4 weeks for January 2002 minus...
Note that WalMart’s fiscalyear starts the first week of February. This means that when analyzing the data, week 26 is actuallyweek 30 (26+4 weeks for January) in 2002 or the end of July 2002. Also, week 52 is actually week 4(52+4 weeks for January 2002 minus 52 weeks for 2002) in 2003 or the end of January 2003. Outliers(extreme values) are present in the data and can distort modeling results. As an example, spikes in sales(revenue) at weeks 28-30 occurs...
Please help me solve this.
5K Results Age Gender Total Time Anderson SC Cornelia GA Elberton GA Williamston SC Lake Geneva WI 25.08 25.20 25.33 25.36 25.82 26.04 26.04 26.07 26.29 26.47 26.54 26.54 26.57 27.99 28.71 8:18 8:33 Anderson SC Anderson SC Anderson SC Williamston SC Elberton GA Piedmont SC Piedmont SC 12 13 8:57 15 Summerville SC Anderson SC 9:26 18 Easley SC Anderson SC Anderson SC 29.20 9:42 10:01 10:13 10:14 10:21 10:27 10:29 10:32 10:33 10:55...