The table below contains pulse rates after running for 1 minute, collected from a random sample of females who drink alcohol. Find a 90% confidence interval for the mean pulse rate after exercise of all women who do drink alcohol. pulse rate after running one minute in bpm 39 114 43 123 90 94 93 136 82 150 80 103 78 61 108 98 104 135 142 105 38 46 87 127 105 126 103 103

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The table below contains pulse rates after running for 1 minute, collected from a random sample of females who drink alcohol. Find a 90% confidence interval for the mean pulse rate after exercise of all women who do drink alcohol.

pulse rate after running one minute in bpm
39
114
43
123
90
94
93
136
82
150
80
103
78
61
108
98
104
135
142
105
38
46
87
127
105
126
103
103

 

P: Parameter
What is the correct parameter symbol for this problem?
V
What is the wording of the parameter in the context of this problem?
The mean pulse rate after running one minute of all women who drink
A: Assumptions
. Since quantitative
to check? Check all that apply.
Oo is known
On(1-p) ≥10
On(1-p) > 10
Onp≥ 10
On(p) > 10
outliers in the data
Oo is unknown
ON>20n
✔no outliers in the data
✔n > 30 or normal population
Check those assumptions:
1. Is the value of a known? no v
2. Given the following modified boxplot (If using a screenreader, use technology to generate the
modified boxplot and answer the question below.):
✓information was collected from each object, what conditions do we need
3. n=
+
20 40 60
80 100 120
pulse rate after running one minute in bpm
81
X ✓=
103 118.5
a
How can we identify outliers on a modified boxplot? [points or* symbols that fall beyond the whiskers ✓
Are there any outliers?
No, the modified boxplot shows no outliers.
C: Conclusion
bpm
+
140
which is 230
150
Is it reasonable to assume the population is normally distributed?
Yes since the normal probability plot is roughly linear with no outliers.
N: Name the procedure
The conditions are met to use a T-Interval
I: Interval and point estimate
The symbol and value of the point estimate are as follows:
(Round answer to 1)
160
bpm
The interval estimate for u is as follows:
(Round endpoints to 1 decimal places and use units exactly as stated in the problem)
bpm
. We are 90
% confident that
The mean pulse rate after running one minute of all women who drink
bpm and
bpm
is between
Transcribed Image Text:P: Parameter What is the correct parameter symbol for this problem? V What is the wording of the parameter in the context of this problem? The mean pulse rate after running one minute of all women who drink A: Assumptions . Since quantitative to check? Check all that apply. Oo is known On(1-p) ≥10 On(1-p) > 10 Onp≥ 10 On(p) > 10 outliers in the data Oo is unknown ON>20n ✔no outliers in the data ✔n > 30 or normal population Check those assumptions: 1. Is the value of a known? no v 2. Given the following modified boxplot (If using a screenreader, use technology to generate the modified boxplot and answer the question below.): ✓information was collected from each object, what conditions do we need 3. n= + 20 40 60 80 100 120 pulse rate after running one minute in bpm 81 X ✓= 103 118.5 a How can we identify outliers on a modified boxplot? [points or* symbols that fall beyond the whiskers ✓ Are there any outliers? No, the modified boxplot shows no outliers. C: Conclusion bpm + 140 which is 230 150 Is it reasonable to assume the population is normally distributed? Yes since the normal probability plot is roughly linear with no outliers. N: Name the procedure The conditions are met to use a T-Interval I: Interval and point estimate The symbol and value of the point estimate are as follows: (Round answer to 1) 160 bpm The interval estimate for u is as follows: (Round endpoints to 1 decimal places and use units exactly as stated in the problem) bpm . We are 90 % confident that The mean pulse rate after running one minute of all women who drink bpm and bpm is between
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