Question

In: Statistics and Probability

The following data represent baseball batting averages for a random sample of National League players near...

The following data represent baseball batting averages for a random sample of National League players near the end of the baseball season. The data are from the baseball statistics section of The Denver Post.
0.194 0.258 0.190 0.291 0.158 0.295 0.261 0.250 0.181 0.125 0.107 0.260 0.309 0.309 0.276 0.287 0.317 0.252 0.215 0.250 0.246 0.260 0.265 0.182 0.113 0.200

(a) Multiply each data value by 1000 to "clear" the decimals. (Keep data values in the same order they appear in the table above.)

(b) Use the standard procedures of this section to make a frequency table with your whole-number data. Use five classes.

(c) Divide class limits, class boundaries, and class midpoints by 1000 to get back to your original data values.

Solutions

Expert Solution

According to the given data :

0.194

0.258

0.190

0.291

0.158

0.295

0.261

0.250

0.181

0.125

0.107

0.260

0.309

0.309

0.276

0.287

0.317

0.252

0.215

0.250

0.246

0.26

0.265

0.182

0.113

0.200

a) After multiplied by 1000 we get :

194

258

190

291

158

295

261

250

181

125

107

(L)

260

309

309

276

287

317

(H)

252

215

250

246

260

265

182

113

200

b) in order to construct a frequency table by using a the standard procedures, we follow the following steps:

Step-I:

The highest and lowest observation are 317 and lowest 107 ,therefore the range is :

As we need five equal classes, therefore he class width is determined as:

Class width= ( range/required classes)

Therefore frequency table with 5 classes and class width is 42.

Therefore the frequency table is:

Class boundary can be constructed by lower of 0.5 from lower class interval and adding 0.5 to the upper class interval in corresponding class interval to the calss boundaries.

We consider 0.5 as the difference between two consecutive class interval is 1 and therefore we add to get upper bounadry and deduct 0.5 to get lower boundary.

We assing tally marks for measuring frequency to the corresponding class interval.

Mid point is determined as:

Mid point=( Lower class interval limit +Upper class interval limit)/2

Class Interval

Class Boundary

Tally marks

Frequency

Mid Point

107-149

106.5-149.5

III

3

128

150-192

149.5-192.5

IIII

4

171

193-235

192.5-235.5

III

3

214

236-278

235.5-278.5

IIIII IIIII

10

254

279-321

278.5-321.5

IIIII I

6

300

c) Divide class limits, class boundaries, and class midpoints by 1000 to get back to your original data values:

Class Interval

Class Boundary

Tally marks

Frequency

Mid Point

0.107-0.149

0.1065-0.1495

III

3

0.128

0.150-0.192

0.1495-0.1925

IIII

4

0.171

0.193-0.235

0.1925-0.2355

III

3

0.214

0.236-0.278

0.2355-0.2785

IIIII IIIII

10

0.254

0.279-0.321

0.2785-0.3215

IIIII I

6

0.300


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