1. Consider the following sample (n = 31) of building heights (in feet):

53 109 215 290 320 600 833

68 132 215 295 370 620

70 165 256 300 420 640

76 187 268 308 574 715

90 194 276 317 594 775 Using this data set find the sample standard deviation

Select one or more:

a. 420

B. 165

C. 223

D. 290

E. 443

F. 215

G. 780

H. 334

1. Consider the following sample (n = 31) of building heights (in feet):

53 109 215 290 320 600 833

68 132 215 295 370 620

70 165 256 300 420 640

76 187 268 308 574 715

90 194 276 317 594 775 Using this data set find the Range

Select one or more:

a.420

B. 780

C. 443

D. 215

E. 290

F. 223

G. 334

H. 165

1. Consider the following sample (n = 31) of building heights (in feet):

53 109 215 290 320 600 833

68 132 215 295 370 620

70 165 256 300 420 640

76 187 268 308 574 715

90 194 276 317 594 775 Using this data set find the first quartile score Q1

Select one or more:

a. 165

B. 334

C. 290

D. 420

E. 223

F. 443

G. 780

H. 215

1. Consider the following sample (n = 31) of building heights (in feet):

53 109 215 290 320 600 833

68 132 215 295 370 620

70 165 256 300 420 640

76 187 268 308 574 715

90 194 276 317 594 775 Using this data set find the third quartile score, Q3

Select one or more:

a. 370

B. 223

C. 574

D. 215

E. 780

F. 165

G. 290

H. 334

1. Consider the following sample (n = 31) of building heights (in feet):

53 109 215 290 320 600 833

68 132 215 295 370 620

70 165 256 300 420 640

76 187 268 308 574 715

90 194 276 317 594 775 Using this data set find the mid-quartile

Select one or more:

a. 290

B. 215

C. 334

D. 370

E. 574

F. 165

G. 222

H. 780

1. A piece of data very unlike any other is called an outlier.

Select one:

True

False