Cholesterol level data (in mg/dL) were collected on patients four days after having a heart attack. The data are in the table below. Determine if the data are from a population that is normally distributed. 142160186206210220224226236242244266270272276278294310318360 b) Which of the following is the correct normal probability plot (QQ plot) for the data above?• If you are using StatCrunch to make a QQ plot, make sure you check the box next to "Normalquantiles on y-axis"Normal QuantileNormal Quantile1.571.180.780.39-0..39-0.78-1.18-1.57Normal Probability Plot152.674.496.28239.861.383.305.2327348.870.61.571.180.780.39*...*..●●●●●Cholesterol levels (in mg/dL)-0.39-0.78-1.18-1.57Normal Probability Plot5.000.152.574.496.2218209.861.383.305.2327348.870.6Cholesterol levels (in mg/dL)oNormal QuantileNormal Quantile-1.571.180.780.39152.674.496.28239.861.383.305.2327348.370.6Normal Probability Plot-0.39-0.78-1.18 ●Cholesterol levels (in mg/dL)1.571.180.780.39-0.39-0.78-1.18-1.57Normal Probability Plot152.574.496.2218209.861.383.305.2327348.870.6●Cholesterol levels (in mg/dL)Q c) Which of the following is the correct modified boxplot for the data above?142ㅏ142ㅏ142ㅏ215140 160 180 200 220 240 260 280 300 320 340 360Cholesterol levels (in mg/dL)140140 160 180160142ㅏ202243215202232140 160 180 200 220 240 260 280 300 320 340Cholesterol levels (in mg/dL)a277259277248360302332180 200 220 240 260 280 300 320 340Cholesterol levels (in mg/dL)302332332140 160 180 200 220 240 260 280 300 320 340Cholesterol levels (in mg/dL)Does this graph support the claim that the sample data came from a normal population?Select an answer

I used Minitab for analysis.In Minitab after entering the data, go to: Graph>Probability…

Answered: Cholesterol level data (in mg/dL) were…

MATLAB: An Introduction with Applications

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ISBN:9781119256830

Author:Amos Gilat

Publisher:Amos Gilat

Chapter1: Starting With Matlab

Section: Chapter Questions

Problem 1P

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Question

Cholesterol level data (in mg/dL) were collected on patients four days after having a heart attack. The data are in the table below. Determine if the data are from a population that is normally distributed.

142
160
186
206
210
220
224
226
236
242
244
266
270
272
276
278
294
310
318
360

b) Which of the following is the correct normal probability plot (QQ plot) for the data above?
• If you are using StatCrunch to make a QQ plot, make sure you check the box next to "Normal
quantiles on y-axis"
Normal Quantile
Normal Quantile
1.57
1.18
0.78
0.39
-0..39
-0.78
-1.18
-1.57
Normal Probability Plot
152.674.496.28239.861.383.305.2327348.870.6
1.57
1.18
0.78
0.39
*...*..
●●●●●
Cholesterol levels (in mg/dL)
-0.39
-0.78
-1.18
-1.57
Normal Probability Plot
5.000
.
152.574.496.2218209.861.383.305.2327348.870.6
Cholesterol levels (in mg/dL)
o
Normal Quantile
Normal Quantile
-1.57
1.18
0.78
0.39
152.674.496.28239.861.383.305.2327348.370.6
Normal Probability Plot
-0.39
-0.78
-1.18 ●
Cholesterol levels (in mg/dL)
1.57
1.18
0.78
0.39
-0.39
-0.78
-1.18
-1.57
Normal Probability Plot
152.574.496.2218209.861.383.305.2327348.870.6
●
Cholesterol levels (in mg/dL)
Q

c) Which of the following is the correct modified boxplot for the data above?
142
ㅏ
142
ㅏ
142
ㅏ
215
140 160 180 200 220 240 260 280 300 320 340 360
Cholesterol levels (in mg/dL)
140
140 160 180
160
142
ㅏ
202
243
215
202
232
140 160 180 200 220 240 260 280 300 320 340
Cholesterol levels (in mg/dL)
a
277
259
277
248
360
302
332
180 200 220 240 260 280 300 320 340
Cholesterol levels (in mg/dL)
302
332
332
140 160 180 200 220 240 260 280 300 320 340
Cholesterol levels (in mg/dL)
Does this graph support the claim that the sample data came from a normal population?
Select an answer

Features Features Normal distribution is characterized by two parameters, mean (µ) and standard deviation (σ). When graphed, the mean represents the center of the bell curve and the graph is perfectly symmetric about the center. The mean, median, and mode are all equal for a normal distribution. The standard deviation measures the data's spread from the center. The higher the standard deviation, the more the data is spread out and the flatter the bell curve looks. Variance is another commonly used measure of the spread of the distribution and is equal to the square of the standard deviation.

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