Question

Is there an association between patient BMI and cholesterol level at screening? Consider overweight, normal and underweight categories for BMI. Do a Chi-Square. I am having trouble finding the test statistics. I picked the level of significance to be 5%.

Patient ID | Drug | Sex | Age | Height | BMI | Weight | Cholesterol |

1 | B | F | 22 | 67.13 | 21.52787 | 138 | 197 |

2 | B | M | 22 | 63 | 20.36911 | 115 | 181 |

3 | B | F | 22 | 72 | 25.76582 | 190 | 190 |

4 | A | M | 22 | 69 | 16.98068 | 115 | 131 |

5 | B | M | 25 | 73 | 21.10715 | 160 | 172 |

6 | B | M | 22 | 67.5 | 23.14403 | 150 | 233 |

7 | A | M | 23 | 73 | 20.31563 | 154 | 194 |

8 | A | M | 24 | 71.5 | 25.43987 | 185 | 155 |

9 | A | F | 23 | 73.5 | 23.16331 | 178 | 234 |

10 | A | M | 22 | 72.25 | 21.27829 | 158 | 201 |

11 | A | M | 26 | 73 | 24.8009 | 188 | 258 |

12 | A | M | 22 | 64.25 | 25.54467 | 150 | 212 |

13 | B | M | 22 | 64.25 | 20.94663 | 123 | 137 |

14 | B | F | 27 | 65 | 22.96189 | 138 | 285 |

15 | A | M | 22 | 59 | 28.87935 | 143 | 218 |

16 | B | F | 24 | 67.5 | 21.4468 | 139 | 167 |

17 | A | F | 22 | 71.5 | 21.452 | 156 | 170 |

18 | A | M | 22 | 69 | 22.14871 | 150 | 157 |

19 | A | M | 24 | 68 | 20.52444 | 135 | 215 |

20 | A | M | 25 | 74 | 28.11486 | 219 | 194 |

21 | A | F | 28 | 71 | 24.12597 | 173 | 207 |

22 | A | M | 22 | 68.5 | 22.62305 | 151 | 198 |

23 | A | M | 23 | 75.5 | 22.44568 | 182 | 189 |

24 | A | M | 24 | 70 | 23.09857 | 161 | 216 |

25 | B | F | 22 | 72 | 23.86728 | 176 | 212 |

26 | B | F | 26 | 72.5 | 23.67296 | 177 | 175 |

27 | B | F | 23 | 72 | 23.59606 | 174 | 158 |

28 | B | F | 20 | 74 | 30.04054 | 234 | 115 |

29 | B | F | 28 | 66 | 24.20799 | 150 | 228 |

30 | A | F | 23 | 74 | 19.12838 | 149 | 164 |

31 | B | M | 22 | 70 | 22.38122 | 156 | 149 |

32 | A | F | 23 | 71.5 | 23.10216 | 168 | 211 |

33 | B | F | 22 | 73 | 24.00938 | 182 | 191 |

34 | B | F | 40 | 75 | 27.12018 | 217 | 277 |

35 | B | M | 22 | 65 | 31.6142 | 190 | 178 |

36 | A | F | 25 | 69 | 23.47763 | 159 | 157 |

37 | A | M | 22 | 73 | 25.19666 | 191 | 151 |

38 | A | M | 24 | 59.5 | 27.8003 | 140 | 209 |

39 | B | F | 23 | 71 | 25.52053 | 183 | 209 |

40 | B | F | 26 | 71 | 22.59195 | 162 | 197 |

41 | B | M | 29 | 69.5 | 26.34294 | 181 | 226 |

42 | B | F | 30 | 70 | 28.12 | 196 | 127 |

43 | A | M | 25 | 65.5 | 23.10425 | 141 | 180 |

44 | B | F | 25 | 74 | 29.52703 | 230 | 117 |

45 | A | M | 24 | 70 | 19.36837 | 135 | 215 |

Answer #1

Use Excel to find the following: Compare the height, weight (in
inches), and age for Eagles versus Patriots, using t tests. Provide
the conclusions based on the t tests.
Gaps between numbers under age are no value
77 each
Eagles:
Age
35
28
23
23
29
23
24
31
28
24
24
24
26
31
23
26
25
25
31
29
33
30
22
28
23
24
29
23
24
26
32
26
24
23
29
24
23
30
24...

BODYFAT
HEIGHT
12.9
67.75
6
72.25
25.5
66.25
10.6
72.25
28.1
71.25
20
74.75
19.2
69.75
11.9
72.5
4.3
74
12.9
73.5
7.6
74.5
8.3
76
20.4
69.5
19.8
71.25
22.2
69.5
20.9
66
28
71
23
71
15.6
67.75
16.9
73.5
18.5
68
15.5
69.75
14.7
68.25
18
70
13.6
67.75
4.3
71.5
8
67.5
22.4
67.5
4.4
64.75
8.9
69
13.2
73.75
6.3
71.25
12.6
71.25
21
71
31.9
73.5
39.1
65
23.2
70
26.6
68.25
34.3
72.25...

3. (a) Use the sample to make a point estimate of the mean
height of the entire female/male SCC student body.
(b) Construct a 93% confidence interval for the mean height of
the entire female/male SCC student body.
(c) What is the width of this interval?
(d) Write a sentence interpreting your confidence interval.
male Student # Gender Height Shoe Age Hand
1 M 67 10 19 R
2 M 74 12 17 R
3 M 72 11.5 19 R...

StudentNO
Gender
Height in inchese
1
Female
63
2
Female
64.0
3
Male
67.0
4
Female
59
5
Male
60
6
Female
61
7
Female
62
8
Female
63
9
Female
63
10
Female
64
11
Male
64
12
Female
65
13
Female
65
14
Female
65
15
Female
65
16
Female
66
17
Female
66
18
Male
67
19
Male
67
20
Male
67
21
Female
67
22
Male
67
23
Male
67
24
Female
67.5
25
Male
68...

Table 1. Use the information to calculate the following
TC, AFC, AVC, ATC, AND MC (I through 50)
TP
TFC
TVC
TC
AFC
AVC
ATC
MC
150
0
(1)
(11)
(21)
(31)
(41)
2
150
70
(2)
(12)
(22)
(32)
(42)
3
150
130
(3)
(13)
(23)
(33)
(43)
4
150
240
(4)
(14)
(24)
(34)
(44)
5
150
300
(5)
(15)
(25)
(35)
(45)
6
150
360
(6)
(16)
(26)
(36)
(46)
7
150
390
(7)
(17)
(27)
(37)...

Your IT department provided you data on patients that received
ER services, their GHHS, and their recovery time. Prepare a report
to share with the owners of the facility that will help you make
informed decisions about how long you can expect a patients’
recovery time would be based on their GHHS. Based on your findings
provide recommendations on your plan moving forward to improve the
functioning of your facilities in generating revenue. Prepare a
report that addresses each of...

MALE :Student # Gender Height Shoe Age Hand
1 M 67 10 19 R
2 M 74 12 17 R
3 M 72 11.5 19 R
4 M 69 10 35 R
5 M 66 9 18 R
6 M 71 10.5 17 R
7 M 72 10.5 17 R
8 M 66 10 20 R
9 M 67 10 18 R
10 M 71 10.5 24 R
11 M 66 10 21 R
12 M 71 10.5 18 R...

Student Grades
Student
Test
Grade
1
76
62
2
84
90
3
79
68
4
88
84
5
76
58
6
66
79
7
75
73
8
94
93
9
66
65
10
92
86
11
80
53
12
87
83
13
86
49
14
63
72
15
92
87
16
75
89
17
69
81
18
92
94
19
79
78
20
60
71
21
68
84
22
71
74
23
61
74
24
68
54
25
76
97...

Using the accompanying Student Grades data, construct a scatter
chart for midterm versus final exam grades and add a linear
trendline. What is the model? If a student scores 7878 on the
midterm, what would you predict her grade on the final exam to
be?
Student
Midterm
Final Exam
1
75
64
2
85
91
3
80
68
4
88
83
5
76
60
6
67
80
7
78
74
8
95
94
9
67
61
10
93
87
11...

Pat.#
Before
After
1
195
125
To the left is 2 datasets measured for
a sample of 107 patients with the high cholesterol level before and
after taking medication. Obtain the following for both sets:
2
208
164
3
254
152
1- the mean, mode and median
4
226
144
5
290
212
2- the variance and standard
deviation
6
239
171
7
216
164
3- First, second and third
quartiles
8
286
200
9
243
190
10
217
130...

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