In: Statistics and Probability
Fertilizer: In an agricultural experiment, the effects of two fertilizers on the production of oranges were measured. Twelve randomly selected plots of land were treated with fertilizer A, and
7
randomly selected plots were treated with fertilizer B. The number of pounds of harvested fruit was measured from each plot. Following are the results.
Fertilizer A | |||||
464 | 483 | 441 | 491 | 403 | 466 |
448 | 457 | 437 | 516 | 417 | 420 |
Fertilizer B | ||||
362 |
414 |
412 |
398 |
382 |
377 |
393 |
|
Part 1 of 3
Your Answer is correct
(a) Explain why it is necessary to check whether the populations
are approximately normal before constructing a confidence
interval.
Since the sample size is ▼small, it is necessary to check that the populations are approximately normal.
Part 2 of 3
Your Answer is correct
(b) Following are boxplots of these data. Is it reasonable to
assume that the populations are approximately normal?
400
420
440
460
480
500
520
540
360
370
380
390
400
410
420
It ▼is reasonable to assume that the populations are approximately normal.
Part: 2 / 3
2 of 3 Parts Complete
Part 3 of 3
(c) Construct an
80%
confidence interval for the difference between the mean yields for the two types of fertilizer. Let
μ1
denote the mean yield for fertilizer A. Use tables to find the
critical value and round the answer to one decimal place.
The
80% confidence interval for the difference between the mean yields for the two types of fertilizer is<<−μ1μ2 . |
Fertilizer A | Fertilizer B | ||
464 | 362 | ||
483 | 414 | ||
441 | 412 | ||
491 | 398 | ||
403 | 382 | ||
466 | 377 | ||
448 | 393 | ||
457 | |||
437 | |||
516 | |||
417 | |||
420 | |||
Fertilizer A | Fertilizer B | ||
Mean | 453.5833333 | Mean | 391.1428571 |
Standard Error | 9.504750274 | Standard Error | 7.139523031 |
Median | 452.5 | Median | 393 |
Mode | #N/A | Mode | #N/A |
Standard Deviation | 32.92542078 | Standard Deviation | 18.88940242 |
Sample Variance | 1084.083333 | Sample Variance | 356.8095238 |
Kurtosis | -0.328200158 | Kurtosis | -0.881402202 |
Skewness | 0.308984848 | Skewness | -0.242355616 |
Range | 113 | Range | 52 |
Minimum | 403 | Minimum | 362 |
Maximum | 516 | Maximum | 414 |
Sum | 5443 | Sum | 2738 |
Count | 12 | Count | 7 |
Confidence Level(80.0%) | 12.95906469 | Confidence Level(80.0%) | 10.27916932 |
SV=SAMPLE VARIANCE | |||
11* sv(A) = | 11924.91667 | ||
df= 12+7-2 =17 | 6* sv(B)= | 2140.857143 | |
sum= | 14065.77381 | ||
Poold variance S2 = | 1/ (12+7 -2) {11*sv(A)+6*sv(B)} | ||
827.3984594 | |||
S.E. (mean1-mean2)= | sqrt{S2(1/12+1/8)} = | ||
sqrt{827.39846* 0.22619}= | |||
sqrt{ 187.1496515)= | |||
13.680265 | |||
80% confidence interval= | |||
(mean1 - mean2) ± | t0.20 *(S.E.) | ||
62.44047619 ± | 1.333*S.E. | ||
62.44047619 ± | 18.23579325 | ||
LB= | 44.20468295 | ||
UB= | 80.67626944 | ||
ANSWER |