Question

4. The data set, “Presidents,” shows that 18 presidents were taller than their opponents. Follow the StatCrunch directions to construct a 95% confidence interval estimate of the population percentage. Based on the result, does it appear that greater height is an advantage for presidential candidates? Why or why not? below is the heights

HEIGHT

188

170

189

163

183

171

185

168

173

173

173

178

183

193

173

173

183

180

168

170

178

182

180

183

178

182

188

175

179

183

192

182

177

185

188

188

183

188

Answer #1

The data set, “Presidents,” shows that 18 presidents were taller
than their opponents. Follow the StatCrunch directions to construct
a 95% confidence interval estimate of the population percentage.
Based on the result, does it appear that greater height is an
advantage for presidential candidates? Why or why not? below is the
heights
HEIGHT
188
170
189
163
183
171
185
168
173
173
173
178
183
193
173
173
183
180
168
170
178
182
180
183
178
182
188...

Can you explain step by step. Can I resolve this problem on the
calculator TI-84 Texas Instruments.
Refer to the data set of 20 randomly selected presidents given
below. Treat the data as a sample and find the proportion of
presidents who were taller than their opponents. Use that result to
construct a 95% confidence interval estimate of the population
percentage. Based on the result, does it appear that greater
height is an advantage for presidential candidates? Why or why...

115 124 132 134 136 137 138 138 139 140 141 141 144 144 145 145
145 146 146 148 150 150 150 151 151 151 151 154 154 156 156 156 156
157 158 159 159 159 159 160 161 161 161 161 162 162 163 164 164 164
164 165 165 165 166 166 166 166 168 168 168 168 168 168 169 169 169
169 170 170 171 171 172 173 173 173 173 173 174 174...

A popular theory is that presidential candidates have an
advantage if they are taller than their main opponents. Listed are
heights (in centimeters) of randomly selected presidents along
with the heights of their main opponents. Complete parts (a) and
(b) below.
Height (cm) of President
190
187
181
184
191
179
Height (cm) of Main Opponent
182
173
172
173
184
176
Use the sample data with a 0.05 significance level to test the
claim that for the population of...

Wellness Data – Cholesterol levels. Here are the wellness data
we discussed last week. 205 327 189 205 148 139 178 157 188 301 195
185 164 182 201 248 298 264 177 169 174 169 155 188 194 192 177 189
188 176 158 305 248 189 209 159 202 177 278 268 166 285 249 203 199
170 165 180 201 209 301 188 165 173 183 206 202 283 207 156 What
are the mean, median, mode,...

Consider the following sample data set, answer the questions
using the result of minitab
171 152 170 168 169 171 190 183 185 140 173 206 172 174 169 199
151 180 167 170 188
Find z-scores for this data set

Consider the following sample data set: 171 132 170 168 169 171
190 183 185 140 173 206 172 174 169 199 151 180 167 170 188
Find the 20% and 70% percentile
Find q1, q3, IQR, inner fence, outer fence
Construct boxplot, and identify outlier

hw 9 # 16
A popular theory is that presidential candidates have an
advantage if they are taller than their main opponents. Listed are
heights (in centimeters) of randomly selected presidents along
with the heights of their main opponents. Complete parts (a) and
(b) below.
Height left parenthesis cm right parenthesis of PresidentHeight
(cm) of President
186
169
166
177
183
177
Height left parenthesis cm right parenthesis of Main
OpponentHeight (cm) of Main Opponent
162
185
175
183
187...

Open Three Hospitals data. SETUP: It is
believed that the number of injuries recorded in hospital 1 is
different from the number of injuries recorded in hospital 2. Given
the data your job is to confirm or disprove this assertion.
10. What test/procedure did you perform? (4
points)
a. Regression
b. Two sided t-test
c. One sided t-test
d. Confidence Interval
11. What is the statistical interpretation? (4
points)
a. Average of data is inconsistent with the claim
b. P-value...

Refer to the accompanying data set of mean drive-through service
times at dinner in seconds at two fast food restaurants. Construct
a 99% confidence interval estimate of the mean drive-through
service time for restaurant X at dinner then do the same for
restaurant Y
Restaurant X Restaurant Y
83 101
119 131
116 155
143 111
263 174
178 135
122 111
154 123
166 128
215 128
328 131
303 136
179 230
109 217
154 296
149 126...

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