Answered step by step
Verified Expert Solution
Link Copied!

Question

1 Approved Answer

You will find your data set with this assignment. This data set was created in MATH class and will be considered a random sample of

  1. You will find your data set with this assignment. This data set was created in MATH class and will be considered a random sample of all MATH students.Open this data set in Minitab.
  2. It is always a good idea to review your data set for extreme values that might be suspicious.These extreme values can be due to typing errors during data entry or might be legitimate. If we identified an outlier, it might be possible to investigate each specific outlier to see if that person really exists.
  3. Generate a column of Pulse Differences (AEPL - BEPL) using the Calc function in Minitab.This will provide the change in pulse after 1 minute of exercise.
  4. Hunt Outliners: Create boxplots of all the variables [Height, Weight, BMI, Before Exercise Pulse (BEPL), After Exercise Pulse (BEPL), and Pulse Differences]. If the boxplots are difficult to interpret, you can also examine the summary statistics for these variables (descriptive statistics).You do not need to include this information (boxplots and summary statistics) with your submission, unless you choose to do so for illustration purposes, but you should use them to identify any unusual data or outliers.
  5. If there are any outliers, we won't be able to identify and investigate the specific person in the data.That is what we would attempt to do if the entries were not anonymous. However, examine those outliers or unusual data and decide whether or not these subjects are legitimate or should be removed entirely from the data.Use some common sense.For example, do you expect someone to have a higher before-exercise pulse than an after-exercise pulse? Would you expect to find someone in the data that is 10 feet tall?Remember, if you decide to remove someone, justify your decision. There should be some basis in fact for the removal other than your opinion.

You should note any outliers and the entries you have deleted. Make sure you discuss which entries were removed and why they were removed.

  1. Your data is now cleaned and ready for analysis.
  2. Before you move on to answering the questions, create two visual representations for this data sets (a bar chart and a histogram of your choice!)

Questions

Assume that the data set we are using represents a random sample of all MATH students.Further, assume that the populations are normally distributed (they are). That way we don't have to worry about normal probability plots if any of our samples are below 25.Thus, we will be basing our inference and conclusions on the population of MATH students.

For the following questions, you must outline your methodology, and state your research question first, followed by your answer to the question. You can then quickly discuss your methodology and provide the Minitab output as a backup for your analysis and conclusions.

Questions (Any testing or inference should be done at 95% Confidence):

  1. It is claimed that females have a lower mean pulse rate in general (BEPL) than men. Given this data set, do females have a lower mean before exercise pulse rate (BEPL) than men? (Note:Minitab will put females in the first column and males in the second column if you use samples in one column with subscripts)
  2. It is claimed that due to smaller lung capacity, a female's heart must beat faster during exercise.Given this information, do females have a higher mean after exercise pulse rate (AEPL) than men?Perform this test at a 95% level of confidence. (Note:Minitab will put females in the first column and males in the second column if you use samples in one column with subscripts)
  3. It is claimed that one minute of exercise will increase a typical person's pulse (mean pulse difference) by more than 30 beats per minute.At a 95% level of confidence, evaluate this objective.
  4. It is your turn to use the data! You will need to come up with another research question to be answered by this data set. Put down your question, and use the right statistical analysis to answer it.

Data

User_type

Gender

Height

Weight

BMI

BEPL

AEPL

student

female

66

160

25.82

65

97

student

female

62

140

25.6

102

120

student

male

70

180

25.82

61

102

student

female

67

145

22.71

82

123

student

male

72

185

25.09

86

110

student

male

70

140

20.09

98

120

student

female

65

140

23.29

73

80

student

male

74

165

21.18

70

95

student

male

66.5

145

23.05

96

118

student

female

62

130

23.77

83

100

student

male

72

185

25.09

82

102

student

male

73.5

195

25.38

80

132

student

male

68

135

20.52

95

126

student

female

64

130

22.31

66

91

student

male

71

242

33.75

78

96

student

male

71

240

33.47

75

121

student

male

74

175

22.47

86

118

student

female

67

150

23.49

71

94

student

male

71

180

25.1

61

80

student

male

71

225

31.38

62

80

student

male

74

185

23.75

65

86

student

female

63

125

22.14

106

120

student

female

62

125

22.86

70

90

student

female

63

150

26.57

87

88

student

female

64.8

145

24.28

77

82

student

female

68

135

20.52

55

97

student

male

71

144

20.08

55

99

student

female

69

140

20.67

88

115

student

female

69

140

20.67

110

135

student

female

65

145

24.13

76

124

student

female

63

120

21.25

93

131

student

male

65

157

26.12

91

113

student

female

68

180

27.37

80

110

student

female

68

145

22.04

82

105

student

female

67

140

21.92

97

110

student

male

71

300

41.84

50

89

student

male

71

165

23.01

50

86

student

male

75

170

21.25

110

146

student

female

66

150

24.21

90

112

student

female

64

120

20.6

84

62

student

female

66

140

22.59

78

130

student

male

71

175

24.4

87

92

student

male

72

185

25.09

70

100

student

male

74

207

26.57

68

91

student

female

65

135

22.46

90

96

student

female

64

135

23.17

115

146

student

male

74

202

25.93

72

99

student

male

68

130

19.76

88

114

student

male

70.1

155

22.17

81

102

student

male

76

210

25.56

99

112

student

male

70

173

24.82

79

104

student

female

66

135

21.79

76

89

student

male

74

179

22.98

58

72

student

female

64

136

23

70

100

student

female

62

112

21.5

68

74

student

female

69

140

20.8

62

110

student

female

65

139

23.1

60

130

student

female

62

120

21.9

62

88

student

female

61

118

22.3

60

102

Step by Step Solution

There are 3 Steps involved in it

Step: 1

blur-text-image

Get Instant Access to Expert-Tailored Solutions

See step-by-step solutions with expert insights and AI powered tools for academic success

Step: 2

blur-text-image

Step: 3

blur-text-image

Ace Your Homework with AI

Get the answers you need in no time with our AI-driven, step-by-step assistance

Get Started

Recommended Textbook for

Personal Tutor For Serways Essentials Of College Physics,

Authors: Raymond A Serway, Chris Vuille

1st Edition

0495171646, 9780495171645

More Books

Students also viewed these Mathematics questions