Question

The weights of 52 randomly selected NFL football players are presented below. The sample mean is 248.38 and the sample standard deviation is 46.68. A 92% confidence interval for the mean weight of football players will be conducted by answering the questions below.

305 |
265 |
287 |
285 |
290 |
235 |
300 |
230 |
195 |

236 |
244 |
194 |
190 |
307 |
218 |
315 |
265 |
210 |

194 |
216 |
255 |
300 |
315 |
190 |
185 |
183 |
313 |

246 |
212 |
201 |
308 |
270 |
241 |
242 |
306 |
237 |

315 |
215 |
200 |
295 |
187 |
204 |
257 |
185 |
255 |

318 |
230 |
316 |
200 |
324 |
245 |
185 |

a) What are the observational units?

b) Describe the variable collected.

c) Summarize the data by finding the quartiles, the median, the min and max.

d) Produce a boxplot for this data. Based on the boxplot, comment on whether you believe the data to be normally distributed.

e) What is the appropriate t critical value to use?

f) Show your work in producing the 92% confidence interval.

g) Interpret the interval.

Answer #1

Mean Wait Time: Not In Program
Mean Wait Time: In Program
315
193
328
230
278
246
312
146
270
196
189
251
261
190
224
232
275
194
325
195
291
195
243
238
257
275
319
249
261
262
291
231
251
281
234
193
257
322
341
190
313
234
271
268
246
260
340
223
318
265
234
228
214
194
250
295
241
241
291
276
The owners of an ice cream shop franchise, looking...

Independent random samples of professional football and
basketball players gave the following information. Assume that the
weight distributions are mound-shaped and symmetric. Weights (in
lb) of pro football players: x1; n1 = 21 246 261 255 251 244 276
240 265 257 252 282 256 250 264 270 275 245 275 253 265 272 Weights
(in lb) of pro basketball players: x2; n2 = 19 202 200 220 210 193
215 221 216 228 207 225 208 195 191 207...

Refer to the accompanying data set of mean drive-through
service times at dinner in seconds at two fast food restaurants.
Construct a 95% confidence interval estimate of the mean
drive-through service time for Restaurant X at dinner; then do the
same for Restaurant Y. Compare the results.
Restaurant X
Restaurant Y
85
102
125
130
115
149
141
111
265
174
185
138
126
113
151
123
165
131
212
127
337
137
311
139
176
226
117
218
161...

CANS109 CANS111
270 287
273 216
258 260
204 291
254 210
228 272
282 260
278 294
201 253
264 292
265 280
223 262
274 295
230 230
250 283
275 255
281 295
271 271
263 268
277 225
275 246
278 297
260 302
262 282
273 310
274 305
286 306
236 262
290 222
286 276
278 270
283 280
262 288
277 296
295 281
274 300
272 290
265 284
275 304...

A loan made on March 14 is due September 13 of the following
year. Find the exact time for the loan in a non-leap year and a
leap year.
days.
The exact time in a non-leap year is ? days
The exact time in a leap year is ? days.
Data Table
Sequential Numbers for Dates of the Year
Day of Month
Jan.
Feb.
Mar.
Apr.
May
June
July
Aug.
Sept.
Oct.
Nov.
Dec.
1
1
32
60
91
121...

Pat.#
Before
After
1
195
125
To the left is 2 datasets measured for
a sample of 107 patients with the high cholesterol level before and
after taking medication. Obtain the following for both sets:
2
208
164
3
254
152
1- the mean, mode and median
4
226
144
5
290
212
2- the variance and standard
deviation
6
239
171
7
216
164
3- First, second and third
quartiles
8
286
200
9
243
190
10
217
130...

Researchers in a 2015 study by Flannery et al. sought to
estimate the effectiveness of the seasonal influenza vaccine in
preventing acute respiratory infection (ARI). A total of 507
subjects from Texas who showed symptoms of ARI were recruited for
this study. The data provided show the result of each subject's
test for influenza.
Click to download the data in your preferred format.
CrunchIt! CSV Excel
JMP Mac-Text Minitab
PC-Text R ...

price
assess
bdrms
lotsize
sqrft
colonial
lprice
lassess
llotsize
lsqrft
300
349.1
4
6126
2438
1
5.703783
5.855359
8.720297
7.798934
370
351.5
3
9903
2076
1
5.913503
5.86221
9.200593
7.638198
191
217.7
3
5200
1374
0
5.252274
5.383118
8.556414
7.225482
195
231.8
3
4600
1448
1
5.273
5.445875
8.433811
7.277938
373
319.1
4
6095
2514
1
5.921578
5.765504
8.715224
7.82963
466.275
414.5
5
8566
2754
1
6.144775
6.027073
9.055556
7.92081
332.5
367.8
3
9000
2067
1
5.80664
5.907539
9.10498
7.633853...

HOUSE
PRICE
YRSOLD
HSQFT
LOTSFT
YRBUILT
PRICE_PER_SQFT
NEB
1
$536,000
2009.00
1,500
4,000
1930
$357
WESTERLEIGH
2
$498,000
2009.00
1,563
6,100
1950
$318
WESTERLEIGH
3
$506,500
2009.00
1,536
4,000
1950
$329
WESTERLEIGH
4
$630,000
2009.00
1,152
4,000
1949
$546
WESTERLEIGH
5
$455,000
2009.00
1,214
2,775
1925
$374
WESTERLEIGH
6
$265,000
2009.00
1,627
1,800
1985
$190
WESTERLEIGH
7
$347,500
2009.00
1,100
4,500
1950
$315
WESTERLEIGH
8
$320,000
2009.00
1,104
3,000
1925
$289
WESTERLEIGH
9
$535,000
2009.00
2,400
3,879
2000
$222
WESTERLEIGH...

Use the Manufacturing database from “Excel Databases.xls” on
Blackboard. Use Excel to develop a multiple regression model to
predict Cost of Materials by Number of Employees, New Capital
Expenditures, Value Added by Manufacture, and End-of-Year
Inventories.
Locate the observed value that is in Industrial Group 12 and has
7 employees. Based on the model and the multiple regression output,
what is the corresponding residual of this observation? Write your
answer as a number, round to 2 decimal places.
SIC Code...

ADVERTISEMENT

Get Answers For Free

Most questions answered within 1 hours.

ADVERTISEMENT

asked 4 minutes ago

asked 9 minutes ago

asked 16 minutes ago

asked 20 minutes ago

asked 36 minutes ago

asked 36 minutes ago

asked 37 minutes ago

asked 37 minutes ago

asked 37 minutes ago

asked 51 minutes ago

asked 57 minutes ago

asked 59 minutes ago