Question

In: Statistics and Probability

The following data represent the filling weights based on samples of 350-gram containers. Ten samples of...

The following data represent the filling weights based on samples of 350-gram containers. Ten samples of size 5 were taken.

Sample

Observ. 1

Observ. 2

Observ. 3

Observ. 4

Observ. 5

1

333.6226

339.3906

361.9761

339.1192

346.4578

2

365.5820

347.4967

349.5748

352.6524

363.7096

3

363.8708

367.4003

335.0422

328.8487

355.8509

4

338.4916

338.6541

346.3491

366.9538

343.1767

5

355.2305

345.7635

356.5218

347.2718

334.5434

6

345.6990

326.0756

328.9903

362.4881

352.8718

7

334.7083

359.4960

333.1609

352.2697

360.8256

8

341.2400

356.8819

369.7263

336.0729

361.5562

9

356.7090

343.1499

373.2071

352.1363

353.2949

10

351.4613

338.4823

366.3254

346.1882

343.1589

1. Create the X Chart.

2. Based upon the X Chart, what is the lower control limit ?

(round up four decimal places - example: 99.9999)

Solutions

Expert Solution

Answer:

1)

NOTE:

**I HOPE YOUR HAPPY WITH MY ANSWER....

***PLEASE SUPPORT ME WITH YOUR RATING....

THANK YOU !


Related Solutions

The following data represent weights (pounds) of a random sample of professional football players on the...
The following data represent weights (pounds) of a random sample of professional football players on the following teams. X1 = weights of players for the Dallas Cowboys X2 = weights of players for the Green Bay Packers X3 = weights of players for the Denver Broncos X4 = weights of players for the Miami Dolphins X5 = weights of players for the San Francisco Forty Niners You join a Fantasy Football league and you are wondering if weight is a...
The following data represent weights (pounds) of a random sample of professional football players on the...
The following data represent weights (pounds) of a random sample of professional football players on the following teams. X1 = weights of players for the Dallas Cowboys X2 = weights of players for the Green Bay Packers X3 = weights of players for the Denver Broncos X4 = weights of players for the Miami Dolphins X5 = weights of players for the San Francisco Forty Niners You join a Fantasy Football league and you are wondering if weight is a...
The following data represent the battery life, in hours, for a random sample of ten full...
The following data represent the battery life, in hours, for a random sample of ten full charges on ipod music player. 7.3 10.2 12.9 10.8 12.1 6.6 10.2 9.0 8.5 7.1 a) construct a 90% confidence interval for the mean number of hours the battery will last on this player. b) Suppose you wanted more accuracy. What can be done to increase the accuracy of the interval without changing the level of confidence? thank you.
The following data represent weights in kilograms of maize harvest from a random sample of 72...
The following data represent weights in kilograms of maize harvest from a random sample of 72 experimental plots on St. Vincent, an island in the Caribbean (Reference: B. G. F. Springer, Proceedings, Caribbean Food Corps. Soc., Vol. 10, pp. 147–152). Note: These data are also available with other software on the Stat Space CD-ROM. For convenience, the data are presented in increasing order. 7.8, 9.1, 9.5, 10.0, 10.2, 10.5, 11.1, 11.5, 11.7, 11.8, 12.2, 12.2, 12.5, 13.1, 13.5, 13.7, 13.7,...
The data in the accompanying table represent the heights and weights of a random sample of...
The data in the accompanying table represent the heights and weights of a random sample of professional baseball players. Complete parts ​(a) through ​(c) below. Player   Height_(inches)   Weight_(pounds) Player_1   76   227 Player_2   75   197 Player_3   72   180 Player_4   82   231 Player_5   69   185 Player_6   74   190 Player_7   75   228 Player_8   71   200 Player_9   75   230 (b) Determine the​ least-squares regression line. Test whether there is a linear relation between height and weight at the alphaαequals=0.05 level of significance. Determine the​...
The data in the accompanying table represent the heights and weights of a random sample of...
The data in the accompanying table represent the heights and weights of a random sample of professional baseball players. Complete parts ​(a) through ​(c) below. Player Height​ (inches) Weight​ (pounds) Player 1 75 225 Player 2 75 197 Player 3 72 180 Player 4 82 231 Player 5 69 185 Player 6 7474 190190 Player 7 75 228 Player 8 71 200 Player 9 75 230 (a) Draw a scatter diagram of the​ data, treating height as the explanatory variable...
The data in the accompanying table represent the heights and weights of a random sample of...
The data in the accompanying table represent the heights and weights of a random sample of professional baseball players. Complete parts ​(a) through ​(c) below. Player   Height_(inches)   Weight_(pounds) Player_1   75   227 Player_2   75   195 Player_3   72   180 Player_4   82   231 Player_5   69   185 Player_6   74   190 Player_7   75   228 Player_8   71   200 Player_9   75   230 ​(a) Draw a scatter diagram of the​ data ​(b) Determine the​ least-squares regression line. Test whether there is a linear relation between height and weight...
The following data represent petal lengths (in cm) for independent random samples of two species of...
The following data represent petal lengths (in cm) for independent random samples of two species of Iris. Petal length (in cm) of Iris virginica: x1; n1 = 35 5.1 5.9 6.4 6.1 5.1 5.5 5.3 5.5 6.9 5.0 4.9 6.0 4.8 6.1 5.6 5.1 5.6 4.8 5.4 5.1 5.1 5.9 5.2 5.7 5.4 4.5 6.4 5.3 5.5 6.7 5.7 4.9 4.8 5.7 5.2 Petal length (in cm) of Iris setosa: x2; n2 = 38 1.6 1.9 1.4 1.5 1.5 1.6...
The following data represent petal lengths (in cm) for independent random samples of two species of...
The following data represent petal lengths (in cm) for independent random samples of two species of Iris. Petal length (in cm) of Iris virginica: x1; n1 = 35 5.1 5.9 6.1 6.1 5.1 5.5 5.3 5.5 6.9 5.0 4.9 6.0 4.8 6.1 5.6 5.1 5.6 4.8 5.4 5.1 5.1 5.9 5.2 5.7 5.4 4.5 6.4 5.3 5.5 6.7 5.7 4.9 4.8 5.9 5.1 Petal length (in cm) of Iris setosa: x2; n2 = 38 1.5 1.9 1.4 1.5 1.5 1.6...
The following data represent petal lengths (in cm) for independent random samples of two species of...
The following data represent petal lengths (in cm) for independent random samples of two species of Iris. Petal length (in cm) of Iris virginica: x1; n1 = 35 5.1 5.6 6.3 6.1 5.1 5.5 5.3 5.5 6.9 5.0 4.9 6.0 4.8 6.1 5.6 5.1 5.6 4.8 5.4 5.1 5.1 5.9 5.2 5.7 5.4 4.5 6.4 5.3 5.5 6.7 5.7 4.9 4.8 5.9 5.2 Petal length (in cm) of Iris setosa: x2; n2 = 38 1.5 1.9 1.4 1.5 1.5 1.6...
ADVERTISEMENT
ADVERTISEMENT
ADVERTISEMENT