Is There a Significant Difference Between Men's and Women's Systolic Blood Pressures project Goal To explore two sample confidence intervals and two sample hypothesis testing for quantitative data Directions Overview You will explore a pair of datasets provided by your instructor and report on the procedures, results, and conclusions In your report, be sure to use full sentences, and justify your answers using specific details or values as appropriate The following template will guide you through this process The data is as follows Women's data Sample 1 Sample 2 Sample 3 Sample 4 Sample 5 Sample 6 Sample 7 Sample 8 Sample 9 Sample 10 94 118 127 107 110 101 102 115 117 116 152 141 133 95 99 129 115 143 130 118 103 117 117 125 118 152 122 115 104 142 96 84 103 106 108 99 110 99 121 143 102 98 142 121 113 117 167 129 98 121 127 122 135 111 107 142 133 128 109 119 132 126 119 116 106 115 159 132 161 112 160 100 104 114 115 114 131 142 170 124 128 160 133 126 118 144 161 152 105 119 133 116 156 99 106 126 104 108 103 163 112 102 151 120 104 103 109 126 102 114 117 113 92 97 135 141 117 119 121 106 104 105 127 114 139 106 106 105 125 103 112 120 127 129 126 107 110 92 97 149 124 133 131 156 112 143 117 108 105 118 129 98 97 132 118 161 115 108 129 108 104 113 115 133 105 84 104 101 110 99 107 160 106 101 124 102 89 107 116 120 108 108 130 131 111 103 137 126 138 111 109 104 102 131 100 115 105 116 107 102 105 120 137 110 96 114 157 164 114 103 133 100 91 119 148 104 115 111 141 115 108 119 118 96 106 91 104 106 133 102 126 116 112 104 124 142 139 108 110 105 141 105 116 103 127 132 138 96 120 143 130 107 157 119 103 102 99 123 92 125 142 114 123 101 112 109 102 95 134 120 120 111 114 112 100 108 123 122 89 116 124 135 116 131 103 123 125 89 110 110 114 114 101 117 124 103 120 83 121 98 105 123 116 108 111 168 158 107 140 115 107 127 105 111 149 152 120 114 125 133 115 131 114 124 122 95 109 119 120 128 95 97 143 135 110 99 99 112 119 196 128 116 148 113 117 111 161 105 108 141 102 99 114 106 107 109 102 130 161 118 138 105 114 158 114 105 141 148 111 104 101 112 106 105 103 128 102 121 99 89 129 115 106 110 106 136 107 109 154 160 109 109 116 217 122 111 95 140 102 137 120 133 106 118 105 92 129 127 114 108 104 158 126 98 107 131 98 109 138 120 124 121 113 118 105 101 104 115 106 100 128 112 135 92 131 119 112 96 144 128 109 90 142 114 101 132 123 97 193 130 114 118 115 136 107 102 132 124 124 119 97 138 102 95 113 153 116 89 166 101 86 103 103 116 124 150 117 113 100 106 134 114 112 105 133 133 134 111 113 113 102 124 114 109 120 123 114 119 96 116 103 120 100 112 100 112 104 104 138 108 138 113 107 136 163 129 124 116 109 101 112 160 111 112 129 117 105 94 136 97 113 113 129 113 137 105 100 160 110 128 132 158 141 196 97 121 152 119 120 99 112 101 136 121 123 160 105 142 160 104 96 133 113 86 123 112 145 146 132 156 102 117 100 114 142 153 101 108 117 103 100 121 112 137 102 113 109 101 121 105 105 122 116 91 158 107 112 124 108 108 Men's data Sample 11 Sample 12 Sample 13 Sample 14 Sample 15 Sample 16 Sample 17 Sample 18 Sample 19 Sample 20 99 126 106 113 139 146 114 123 153 111 115 148 139 121 109 130 158 120 115 121 114 119 122 119 105 100 132 114 119 127 119 123 119 108 111 138 128 105 136 137 144 154 115 108 121 131 120 122 146 158 130 111 121 174 120 126 120 122 131 113 105 130 112 132 116 98 110 145 105 131 128 118 119 105 122 125 111 115 107 111 117 134 103 104 141 126 121 167 126 111 118 107 114 114 153 121 139 125 116 129 115 109 125 131 103 123 118 118 122 123 144 136 134 119 113 100 107 111 129 121 165 104 121 149 134 120 122 171 143 141 118 120 130 119 119 130 130 108 138 111 116 124 117 113 137 122 114 136 129 147 110 120 102 108 130 107 128 128 131 122 119 110 108 117 132 122 111 120 93 137 116 112 120 118 143 136 111 133 108 123 114 152 126 100 125 113 121 130 129 122 118 120 115 107 111 106 123 122 99 136 124 118 120 111 135 136 110 109 110 115 149 122 109 124 131 102 125 124 120 129 113 147 127 130 130 113 126 103 115 140 112 160 124 102 108 118 123 111 142 119 135 102 119 109 159 91 110 113 116 98 141 125 121 119 118 131 99 111 112 109 145 120 123 125 132 159 114 95 136 119 130 126 119 140 171 180 159 145 112 139 134 121 127 107 93 120 116 109 96 142 126 119 125 121 125 115 109 119 114 117 120 112 113 128 106 130 141 102 156 114 116 140 128 125 112 126 137 113 114 114 113 116 130 118 111 107 121 139 108 120 122 129 121 191 118 138 113 101 129 148 141 110 103 123 119 142 128 127 105 114 124 137 139 145 100 138 126 137 101 88 159 106 119 138 118 120 133 161 137 93 133 141 114 111 95 116 146 125 111 126 120 113 165 105 112 122 107 105 122 113 121 119 121 130 139 112 115 160 126 147 125 116 109 98 125 135 137 149 116 103 122 119 111 111 117 128 107 103 102 135 118 137 129 133 107 121 111 112 150 110 131 118 122 108 141 139 88 116 132 137 130 137 121 142 130 119 108 115 114 113 96 114 125 137 109 156 129 123 112 134 129 124 128 112 112 109 127 115 129 120 114 133 138 135 124 141 125 130 120 109 124 122 134 120 114 109 153 125 141 149 125 164 151 129 112 110 113 132 104 107 126 179 131 102 134 98 119 110 131 111 146 113 131 122 120 126 104 120 119 125 139 96 116 124 114 100 125 111 110 130 110 116 132 140 132 125 121 138 126 120 143 112 116 118 112 133 116 107 126 147 138 122 101 129 122 154 193 118 122 126 132 124 129 123 125 160 119 142 113 119 100 116 117 148 121 118 130 126 111 121 102 120 128 153 126 110 132 103 161 118 134 119 95 131 124 105 143 108 118 117 Natural order Randomized order First dataset (women's systolic BP in mmHg) Second dataset (men's systolic BP in mmHg) First dataset (women's systolic BP in mmHg) Second dataset (men's systolic BP in mmHg) Sample 1 Sample 11 Sample 7 Sample 17 Sample 2 Sample 11 Sample 2 Sample 11 Sample 3 Sample 11 Sample 2 Sample 20 Sample 4 Sample 11 Sample 8 Sample 15 Sample 5 Sample 11 Sample 5 Sample 19 Sample 6 Sample 11 Sample 2 Sample 15 Sample 7 Sample 11 Sample 2 Sample 19 Sample 8 Sample 11 Sample 7 Sample 18 Sample 9 Sample 11 Sample 7 Sample 20 Sample 10 Sample 11 Sample 7 Sample 19 Sample 1 Sample 12 Sample 4 Sample 12 Sample 2 Sample 12 Sample 8 Sample 17 Sample 3 Sample 12 Sample 8 Sample 13 Sample 4 Sample 12 Sample 6 Sample 18 Sample 5 Sample 12 Sample 4 Sample 20 Sample 6 Sample 12 Sample 4 Sample 15 Sample 7 Sample 12 Sample 1 Sample 12 Sample 8 Sample 12 Sample 6 Sample 17 Sample 9 Sample 12 Sample 10 Sample 12 Sample 10 Sample 12 Sample 3 Sample 14 Sample 1 Sample 13 Sample 10 Sample 16 Sample 2 Sample 13 Sample 10 Sample 17 Sample 3 Sample 13 Sample 6 Sample 12 Sample 4 Sample 13 Sample 6 Sample 16 Sample 5 Sample 13 Sample 1 Sample 19 Sample 6 Sample 13 Sample 1 Sample 13 Sample 7 Sample 13 Sample 4 Sample 19 Sample 8 Sample 13 Sample 9 Sample 11 Sample 9 Sample 13 Sample 9 Sample 17 Sample 10 Sample 13 Sample 6 Sample 20 Sample 1 Sample 14 Sample 10 Sample 19 Sample 2 Sample 14 Sample 3 Sample 15 Sample 3 Sample 14 Sample 2 Sample 13 Sample 4 Sample 14 Sample 6 Sample 19 Sample 5 Sample 14 Sample 2 Sample 14 Sample 6 Sample 14 Sample 8 Sample 20 Sample 7 Sample 14 Sample 6 Sample 15 Sample 8 Sample 14 Sample 1 Sample 15 Sample 9 Sample 14 Sample 1 Sample 14 Sample 10 Sample 14 Sample 1 Sample 17 Sample 1 Sample 15 Sample 2 Sample 18 Sample 2 Sample 15 Sample 7 Sample 15 Sample 3 Sample 15 Sample 4 Sample 13 Sample 4 Sample 15 Sample 10 Sample 11 Sample 5 Sample 15 Sample 8 Sample 19 Sample 6 Sample 15 Sample 3 Sample 13 Sample 7 Sample 15 Sample 9 Sample 20 Sample 8 Sample 15 Sample 5 Sample 16 Sample 9 Sample 15 Sample 1 Sample 11 Sample 10 Sample 15 Sample 1 Sample 16 Sample 1 Sample 16 Sample 8 Sample 18 Sample 2 Sample 16 Sample 4 Sample 18 Sample 3 Sample 16 Sample 4 Sample 11 Sample 4 Sample 16 Sample 5 Sample 14 Sample 5 Sample 16 Sample 9 Sample 15 Sample 6 Sample 16 Sample 3 Sample 11 Sample 7 Sample 16 Sample 2 Sample 16 Sample 8 Sample 16 Sample 5 Sample 11 Sample 9 Sample 16 Sample 9 Sample 12 Sample 10 Sample 16 Sample 10 Sample 13 Sample 1 Sample 17 Sample 8 Sample 16 Sample 2 Sample 17 Sample 5 Sample 20 Sample 3 Sample 17 Sample 3 Sample 17 Sample 4 Sample 17 Sample 10 Sample 20 Sample 5 Sample 17 Sample 9 Sample 16 Sample 6 Sample 17 Sample 5 Sample 12 Sample 7 Sample 17 Sample 10 Sample 15 Sample 8 Sample 17 Sample 4 Sample 14 Sample 9 Sample 17 Sample 8 Sample 14 Sample 10 Sample 17 Sample 7 Sample 12 Sample 1 Sample 18 Sample 6 Sample 11 Sample 2 Sample 18 Sample 10 Sample 14 Sample 3 Sample 18 Sample 7 Sample 16 Sample 4 Sample 18 Sample 8 Sample 11 Sample 5 Sample 18 Sample 2 Sample 17 Sample 6 Sample 18 Sample 3 Sample 19 Sample 7 Sample 18 Sample 7 Sample 14 Sample 8 Sample 18 Sample 5 Sample 17 Sample 9 Sample 18 Sample 1 Sample 20 Sample 10 Sample 18 Sample 9 Sample 19 Sample 1 Sample 19 Sample 3 Sample 12 Sample 2 Sample 19 Sample 9 Sample 13 Sample 3 Sample 19 Sample 1 Sample 18 Sample 4 Sample 19 Sample 6 Sample 13 Sample 5 Sample 19 Sample 6 Sample 14 Sample 6 Sample 19 Sample 9 Sample 14 Sample 7 Sample 19 Sample 5 Sample 18 Sample 8 Sample 19 Sample 5 Sample 15 Sample 9 Sample 19 Sample 4 Sample 17 Sample 10 Sample 19 Sample 7 Sample 13 Sample 1 Sample 20 Sample 4 Sample 16 Sample 2 Sample 20 Sample 3 Sample 20 Sample 3 Sample 20 Sample 3 Sample 16 Sample 4 Sample 20 Sample 9 Sample 18 Sample 5 Sample 20 Sample 2 Sample 12 Sample 6 Sample 20 Sample 7 Sample 11 Sample 7 Sample 20 Sample 8 Sample 12 Sample 8 Sample 20 Sample 10 Sample 18 Sample 9 Sample 20 Sample 3 Sample 18 Sample 10 Sample 20 Sample 5 Sample 13 For Questions 1 and 2, you will review the quantitative datasets that you were assigned Referring to the data provided to you by your instructor The data you were assigned are a subset of the data collected as part of the National Health and Nutrition Examination Survey (NHANES) in 2011 2012 Here is a link to a website that explains how the data were collected Do you believe these datasets are representative of the population Give your answer and support it in sentences Use technology to answer the following questions (Hint Consider using the Describing and Exploring Quantitative Variables ShinyApphttps dcmathpathways shinyapps io EDA quantitative ) Provide a screen clip of the Descriptive Statistics for both of your datasets Be sure to adjust the group names labels so they describe your data Provide screen clips of the side by side boxplots AND side by side histograms Label each graph to show which is which In sentences, describe in detail the distribution of each dataset (Hint Refer to In Class Activity 3D for the four main characteristics we use to describe distributions ) For Questions 3 through 6, you will set up, calculate, and analyze inferential statistics (confidence interval and hypothesis test) for the two datasets you were assigned Are your two datasets independent or dependent Give your answer and support it in a couple sentences Use technology to construct and interpret the 95 confidence interval (Hint Consider using the Compare Two Population Means ShinyApphttps dcmathpathways shinyapps io 2sample mean ) What point estimate can we use to construct a confidence interval for the difference between the two assigned data sets Include appropriate units What is the margin of error Include appropriate units What is the 95 confidence interval Use interval notation In a couple sentences, interpret the confidence interval in context of the application, using appropriate units Develop a hypothesis about your population means Make a sentence describing your developed hypothesis about the two population means (Example I hypothesize that the mean household income in 2020 was higher than the mean household income in 2016 ) Explain what the symbols and OR represent in context the null hypothesis in symbols the alternative hypothesis in symbols Is your hypothesis test one tailed or two tailed Conduct the hypothesis test at a level of significance 5 , (Hint Consider using the Compare Two Population Means ShinyApp https dcmathpathways shinyapps io 2sample mean ) What is the test statistic What is the p value What is the conclusion about the null hypothesis In a couple sentences, make a conclusion of the hypothesis test in context of the application, using correct units For Question 7, make a Final Report that summarizes and builds upon all the work from Questions 1 through 6 Make a Final Report for this project This is a cohesive report, not a series of responses to questions Use the following guidelines to structure the report Introduction Set the stage for the report by providing an overview of the two assigned datasets Include a summary of the analysis from Questions 1 2 Confidence Interval Results Summarize the results from the research and discuss the findings of your confidence interval Incorporate the findings from Question 4 Hypothesis Test Results Discuss the procedure, results, and conclusion of the hypothesis test Incorporate the findings from Questions 5 6 Conclusion Based on the project results, do you believe there is a significant difference between men's and women's systolic blood pressures Reflect on the results of the data analysis, confidence interval, and hypothesis test Comment on the alignment between the confidence interval and hypothesis test results Discuss any results that were surprising, interesting, or confirmed your expectations Include at least one good statistical question related to your research you would like to investigate further Include reflections about the project that would add insight Questions 8 and 9 give you the opportunity to use statistics to explore your own interests Make a good statistical question about a topic that interests you, personally or professionally, that would require a study of two means for quantitative data Design a method for collecting sample data that would answer the statistical question from Question 8 Explain how you would acquire the data Be specific Explain why your data collection method would be an observational study or an experiment Would your two datasets be independent or dependent Give your answer and support it in sentences Thank you if you even come across this question and attempt to help )

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Is There a Significant Difference Between Men's and Women's Systolic Blood Pressures? project Goal: To explore two-sample confidence intervals and two-sample hypothesis testing for quantitative

Is There a Significant Difference Between Men's and Women's Systolic Blood Pressures?"

project Goal: To explore two-sample confidence intervals and two-sample hypothesis testing for quantitative data.

Directions Overview: You will explore a pair of datasets provided by your instructor and report on the procedures, results, and conclusions. In your report, be sure to use full sentences, and justify your answers using specific details or values as appropriate. The following template will guide you through this process.

The data is as follows:

Women's data:

Sample #1	Sample #2	Sample #3	Sample #4	Sample #5	Sample #6	Sample #7	Sample #8	Sample #9	Sample #10
94	118	127	107	110	101	102	115	117	116
152	141	133	95	99	129	115	143	130	118
103	117	117	125	118	152	122	115	104	142
96	84	103	106	108	99	110	99	121	143
102	98	142	121	113	117	167	129	98	121
127	122	135	111	107	142	133	128	109	119
132	126	119	116	106	115	159	132	161	112
160	100	104	114	115	114	131	142	170	124
128	160	133	126	118	144	161	152	105	119
133	116	156	99	106	126	104	108	103	163
112	102	151	120	104	103	109	126	102	114
117	113	92	97	135	141	117	119	121	106
104	105	127	114	139	106	106	105	125	103
112	120	127	129	126	107	110	92	97	149
124	133	131	156	112	143	117	108	105	118
129	98	97	132	118	161	115	108	129	108
104	113	115	133	105	84	104	101	110	99
107	160	106	101	124	102	89	107	116	120
108	108	130	131	111	103	137	126	138	111
109	104	102	131	100	115	105	116	107	102
105	120	137	110	96	114	157	164	114	103
133	100	91	119	148	104	115	111	141	115
108	119	118	96	106	91	104	106	133	102
126	116	112	104	124	142	139	108	110	105
141	105	116	103	127	132	138	96	120	143
130	107	157	119	103	102	99	123	92	125
142	114	123	101	112	109	102	95	134	120
120	111	114	112	100	108	123	122	89	116
124	135	116	131	103	123	125	89	110	110
114	114	101	117	124	103	120	83	121	98
105	123	116	108	111	168	158	107	140	115
107	127	105	111	149	152	120	114	125	133
115	131	114	124	122	95	109	119	120	128
95	97	143	135	110	99	99	112	119	196
128	116	148	113	117	111	161	105	108	141
102	99	114	106	107	109	102	130	161	118
138	105	114	158	114	105	141	148	111	104
101	112	106	105	103	128	102	121	99	89
129	115	106	110	106	136	107	109	154	160
109	109	116	217	122	111	95	140	102	137
120	133	106	118	105	92	129	127	114	108
104	158	126	98	107	131	98	109	138	120
124	121	113	118	105	101	104	115	106	100
128	112	135	92	131	119	112	96	144	128
109	90	142	114	101	132	123	97	193	130
114	118	115	136	107	102	132	124	124	119
97	138	102	95	113	153	116	89	166	101
86	103	103	116	124	150	117	113	100	106
134	114	112	105	133	133	134	111	113	113
102	124	114	109	120	123	114	119	96	116
103	120	100	112	100	112	104	104	138	108
138	113	107	136	163	129	124	116	109	101
112	160	111	112	129	117	105	94	136	97
113	113	129	113	137	105	100	160	110	128
132	158	141	196	97	121	152	119	120	99
112	101	136	121	123	160	105	142	160	104
96	133	113	86	123	112	145	146	132	156
102	117	100	114	142	153	101	108	117	103
100	121	112	137	102	113	109	101	121	105
105	122	116	91	158	107	112	124	108	108

Men's data:

Sample #11	Sample #12	Sample #13	Sample #14	Sample #15	Sample #16	Sample #17	Sample #18	Sample #19	Sample #20
99	126	106	113	139	146	114	123	153	111
115	148	139	121	109	130	158	120	115	121
114	119	122	119	105	100	132	114	119	127
119	123	119	108	111	138	128	105	136	137
144	154	115	108	121	131	120	122	146	158
130	111	121	174	120	126	120	122	131	113
105	130	112	132	116	98	110	145	105	131
128	118	119	105	122	125	111	115	107	111
117	134	103	104	141	126	121	167	126	111
118	107	114	114	153	121	139	125	116	129
115	109	125	131	103	123	118	118	122	123
144	136	134	119	113	100	107	111	129	121
165	104	121	149	134	120	122	171	143	141
118	120	130	119	119	130	130	108	138	111
116	124	117	113	137	122	114	136	129	147
110	120	102	108	130	107	128	128	131	122
119	110	108	117	132	122	111	120	93	137
116	112	120	118	143	136	111	133	108	123
114	152	126	100	125	113	121	130	129	122
118	120	115	107	111	106	123	122	99	136
124	118	120	111	135	136	110	109	110	115
149	122	109	124	131	102	125	124	120	129
113	147	127	130	130	113	126	103	115	140
112	160	124	102	108	118	123	111	142	119
135	102	119	109	159	91	110	113	116	98
141	125	121	119	118	131	99	111	112	109
145	120	123	125	132	159	114	95	136	119
130	126	119	140	171	180	159	145	112	139
134	121	127	107	93	120	116	109	96	142
126	119	125	121	125	115	109	119	114	117
120	112	113	128	106	130	141	102	156	114
116	140	128	125	112	126	137	113	114	114
113	116	130	118	111	107	121	139	108	120
122	129	121	191	118	138	113	101	129	148
141	110	103	123	119	142	128	127	105	114
124	137	139	145	100	138	126	137	101	88
159	106	119	138	118	120	133	161	137	93
133	141	114	111	95	116	146	125	111	126
120	113	165	105	112	122	107	105	122	113
121	119	121	130	139	112	115	160	126	147
125	116	109	98	125	135	137	149	116	103
122	119	111	111	117	128	107	103	102	135
118	137	129	133	107	121	111	112	150	110
131	118	122	108	141	139	88	116	132	137
130	137	121	142	130	119	108	115	114	113
96	114	125	137	109	156	129	123	112	134
129	124	128	112	112	109	127	115	129	120
114	133	138	135	124	141	125	130	120	109
124	122	134	120	114	109	153	125	141	149
125	164	151	129	112	110	113	132	104	107
126	179	131	102	134	98	119	110	131	111
146	113	131	122	120	126	104	120	119	125
139	96	116	124	114	100	125	111	110	130
110	116	132	140	132	125	121	138	126	120
143	112	116	118	112	133	116	107	126	147
138	122	101	129	122	154	193	118	122	126
132	124	129	123	125	160	119	142	113	119
100	116	117	148	121	118	130	126	111	121
102	120	128	153	126	110	132	103	161	118
134	119	95	131	124	105	143	108	118	117

Natural order			Randomized order
First dataset (women's systolic BP in mmHg)	Second dataset (men's systolic BP in mmHg)	First dataset (women's systolic BP in mmHg)	Second dataset (men's systolic BP in mmHg)
Sample #1	Sample #11	Sample #7	Sample #17
Sample #2	Sample #11	Sample #2	Sample #11
Sample #3	Sample #11	Sample #2	Sample #20
Sample #4	Sample #11	Sample #8	Sample #15
Sample #5	Sample #11	Sample #5	Sample #19
Sample #6	Sample #11	Sample #2	Sample #15
Sample #7	Sample #11	Sample #2	Sample #19
Sample #8	Sample #11	Sample #7	Sample #18
Sample #9	Sample #11	Sample #7	Sample #20
Sample #10	Sample #11	Sample #7	Sample #19
Sample #1	Sample #12	Sample #4	Sample #12
Sample #2	Sample #12	Sample #8	Sample #17
Sample #3	Sample #12	Sample #8	Sample #13
Sample #4	Sample #12	Sample #6	Sample #18
Sample #5	Sample #12	Sample #4	Sample #20
Sample #6	Sample #12	Sample #4	Sample #15
Sample #7	Sample #12	Sample #1	Sample #12
Sample #8	Sample #12	Sample #6	Sample #17

Sample #9	Sample #12	Sample #10	Sample #12
Sample #10	Sample #12	Sample #3	Sample #14
Sample #1	Sample #13	Sample #10	Sample #16
Sample #2	Sample #13	Sample #10	Sample #17
Sample #3	Sample #13	Sample #6	Sample #12
Sample #4	Sample #13	Sample #6	Sample #16
Sample #5	Sample #13	Sample #1	Sample #19
Sample #6	Sample #13	Sample #1	Sample #13
Sample #7	Sample #13	Sample #4	Sample #19
Sample #8	Sample #13	Sample #9	Sample #11
Sample #9	Sample #13	Sample #9	Sample #17
Sample #10	Sample #13	Sample #6	Sample #20
Sample #1	Sample #14	Sample #10	Sample #19
Sample #2	Sample #14	Sample #3	Sample #15
Sample #3	Sample #14	Sample #2	Sample #13
Sample #4	Sample #14	Sample #6	Sample #19
Sample #5	Sample #14	Sample #2	Sample #14
Sample #6	Sample #14	Sample #8	Sample #20
Sample #7	Sample #14	Sample #6	Sample #15
Sample #8	Sample #14	Sample #1	Sample #15

Sample #9	Sample #14	Sample #1	Sample #14
Sample #10	Sample #14	Sample #1	Sample #17
Sample #1	Sample #15	Sample #2	Sample #18
Sample #2	Sample #15	Sample #7	Sample #15
Sample #3	Sample #15	Sample #4	Sample #13
Sample #4	Sample #15	Sample #10	Sample #11
Sample #5	Sample #15	Sample #8	Sample #19
Sample #6	Sample #15	Sample #3	Sample #13
Sample #7	Sample #15	Sample #9	Sample #20
Sample #8	Sample #15	Sample #5	Sample #16
Sample #9	Sample #15	Sample #1	Sample #11
Sample #10	Sample #15	Sample #1	Sample #16
Sample #1	Sample #16	Sample #8	Sample #18
Sample #2	Sample #16	Sample #4	Sample #18
Sample #3	Sample #16	Sample #4	Sample #11
Sample #4	Sample #16	Sample #5	Sample #14
Sample #5	Sample #16	Sample #9	Sample #15
Sample #6	Sample #16	Sample #3	Sample #11
Sample #7	Sample #16	Sample #2	Sample #16
Sample #8	Sample #16	Sample #5	Sample #11

Sample #9	Sample #16	Sample #9	Sample #12
Sample #10	Sample #16	Sample #10	Sample #13
Sample #1	Sample #17	Sample #8	Sample #16
Sample #2	Sample #17	Sample #5	Sample #20
Sample #3	Sample #17	Sample #3	Sample #17
Sample #4	Sample #17	Sample #10	Sample #20
Sample #5	Sample #17	Sample #9	Sample #16
Sample #6	Sample #17	Sample #5	Sample #12
Sample #7	Sample #17	Sample #10	Sample #15
Sample #8	Sample #17	Sample #4	Sample #14
Sample #9	Sample #17	Sample #8	Sample #14
Sample #10	Sample #17	Sample #7	Sample #12
Sample #1	Sample #18	Sample #6	Sample #11
Sample #2	Sample #18	Sample #10	Sample #14
Sample #3	Sample #18	Sample #7	Sample #16
Sample #4	Sample #18	Sample #8	Sample #11
Sample #5	Sample #18	Sample #2	Sample #17
Sample #6	Sample #18	Sample #3	Sample #19
Sample #7	Sample #18	Sample #7	Sample #14
Sample #8	Sample #18	Sample #5	Sample #17

Sample #9	Sample #18	Sample #1	Sample #20
Sample #10	Sample #18	Sample #9	Sample #19
Sample #1	Sample #19	Sample #3	Sample #12
Sample #2	Sample #19	Sample #9	Sample #13
Sample #3	Sample #19	Sample #1	Sample #18
Sample #4	Sample #19	Sample #6	Sample #13
Sample #5	Sample #19	Sample #6	Sample #14
Sample #6	Sample #19	Sample #9	Sample #14
Sample #7	Sample #19	Sample #5	Sample #18
Sample #8	Sample #19	Sample #5	Sample #15
Sample #9	Sample #19	Sample #4	Sample #17
Sample #10	Sample #19	Sample #7	Sample #13
Sample #1	Sample #20	Sample #4	Sample #16
Sample #2	Sample #20	Sample #3	Sample #20
Sample #3	Sample #20	Sample #3	Sample #16
Sample #4	Sample #20	Sample #9	Sample #18
Sample #5	Sample #20	Sample #2	Sample #12
Sample #6	Sample #20	Sample #7	Sample #11
Sample #7	Sample #20	Sample #8	Sample #12
Sample #8	Sample #20	Sample #10	Sample #18

Sample #9	Sample #20	Sample #3	Sample #18
Sample #10	Sample #20	Sample #5	Sample #13

For Questions 1 and 2, you will review the quantitative datasets that you were assigned.

Referring to the data provided to you by your instructor:

The data you were assigned are a subset of the data collected as part of the National Health and Nutrition Examination Survey (NHANES) in 2011-2012. Here is a link to a website that explains how the data were collected. Do you believe these datasets are representative of the population? Give your answer and support it in sentences.

Use technology to answer the following questions. (Hint: Consider using the Describing and Exploring Quantitative Variables ShinyApphttps://dcmathpathways.shinyapps.io/EDA_quantitative/)

Provide a screen clip of the Descriptive Statistics for both of your datasets. Be sure to adjust the group names/labels so they describe your data.

Provide screen clips of the side-by-side boxplots AND side-by-side histograms. Label each graph to show which is which.

In sentences, describe in detail the distribution of each dataset. (Hint: Refer to In-Class Activity 3D for the four main characteristics we use to describe distributions.)

For Questions 3 through 6, you will set up, calculate, and analyze inferential statistics (confidence interval and hypothesis test) for the two datasets you were assigned.

Are your two datasets independent or dependent? Give your answer and support it in a couple sentences.

Use technology to construct and interpret the 95% confidence interval. (Hint: Consider using the Compare Two Population Means ShinyApphttps://dcmathpathways.shinyapps.io/2sample_mean/)

What point estimate can we use to construct a confidence interval for the difference between the two assigned data sets? Include appropriate units.

What is the margin of error? Include appropriate units.

What is the 95% confidence interval? Use interval notation.

In a couple sentences, interpret the confidence interval in context of the application, using appropriate units.

Develop a hypothesis about your population means.

Make a sentence describing your developed hypothesis about the two population means.(Example: I hypothesize that the mean household income in 2020 was higher than the mean household income in 2016.)

Explain what the symbols and OR represent in context.

the null hypothesis in symbols.

the alternative hypothesis in symbols.

Is your hypothesis test one-tailed or two-tailed?

Conduct the hypothesis test at a level of significance 5%, . (Hint: Consider using the Compare Two Population Means ShinyApp https://dcmathpathways.shinyapps.io/2sample_mean/)

What is the test statistic?

What is the p-value?

What is the conclusion about the null hypothesis?

In a couple sentences, make a conclusion of the hypothesis test in context of the application, using correct units.

For Question 7, make a Final Report that summarizes and builds upon all the work from Questions 1 through 6.

Make a Final Report for this project. This is a cohesive report, not a series of responses to questions. Use the following guidelines to structure the report:

Introduction: Set the stage for the report by providing an overview of the two assigned datasets. Include a summary of the analysis from Questions 1 & 2.
Confidence Interval Results: Summarize the results from the research and discuss the findings of your confidence interval. Incorporate the findings from Question 4.
Hypothesis Test Results: Discuss the procedure, results, and conclusion of the hypothesis test. Incorporate the findings from Questions 5 & 6.
Conclusion: Based on the project results, do you believe there is a significant difference between men's and women's systolic blood pressures? Reflect on the results of the data analysis, confidence interval, and hypothesis test. Comment on the alignment between the confidence interval and hypothesis test results. Discuss any results that were surprising, interesting, or confirmed your expectations. Include at least one good statistical question related to your research you would like to investigate further. Include reflections about the project that would add insight.

Questions 8 and 9 give you the opportunity to use statistics to explore your own interests.

Make a good statistical question about a topic that interests you, personally or professionally, that would require a study of two means for quantitative data.

Design a method for collecting sample data that would answer the statistical question from Question #8.
Explain how you would acquire the data. Be specific.