Question

In: Statistics and Probability

As the quality control manager at a plant that produces cereal, you would like to ensure...

As the quality control manager at a plant that produces cereal, you would like to ensure that the average amount of cereal being put in each box is 455g. A random sample is contained below (this sample is also contained in the DATA 2 tab of the downloaded Excel file). At a 5% significance level, can you conclude that the average fill level is different than 455g?

Cereal Box Fill Levels
451.48 453.62 452.03 455.14 457.1 455.61 458.61 458.96 452.53 452.54 455.43 452.32 455.12
457.6 455.6 457.44 458.39 457.57 456.79 457.06 456.23 457.05 453.04 458.26 455.75 453.37
456.89 458.99 457.79 457.68 456.13 457.85 458.65 458.98 457.98 457.46 455.09 457.72 458.69
456.22 455.58 451.83 453.19 458.58 455.72 456.69 457.85 453.13 458.83 457.25 452.78 454.92
453.69 451.17 455.72 455.38 458.16 457.24 453.28 451 454.92 457.65 452.88 456.1 452.62

a) Properly state the hypotheses:(1 mark)

b) Calculate the p-value (SHOW ALL WORK):

N ORDER TO SHOW YOUR WORK FOR PART B...CREATE A TABLE THAT MIMICS THE EXCEL FUNCTION YOU ARE USING...YOUR ANSWER SHOULD INCLUDE THE FOLLOWING:

1) FUNCTION NAME:

2) FIELD 1 ENTRY:

3) FIELD 2 ENTRY:

4) FIELD 3 ENTRY:

5) FIELD 4 ENTRY:

6) YOUR FINAL ANSWER:

IF THERE ARE NOT 4 "ARGUMENTS" FOR THE EXCEL FUNCTION, INCLUDE ONLY THE NUMBER OF FIELDS THAT ARE APPLICABLE.

YOUR FIELD ENTRIES MUST BE NUMERICAL VALUES...NOT CELL REFERENCES

c) Conclusion: (Must be mathematically justified) (1 mark)

Solutions

Expert Solution

a. Ho:  the average amount of cereal being put in each box is 455g

H1:  the average amount of cereal being put in each box is significantly different from 455g

alpha = , mu =  455g

451.48
453.62
452.03
455.14
457.1
455.61
458.61
458.96
452.53
452.54
455.43
452.32
455.12
457.6
455.6
457.44
458.39
457.57
456.79
457.06
456.23
457.05
453.04
458.26
455.75
453.37
456.89
458.99
457.79
457.68
456.13
457.85
458.65
458.98
457.98
457.46
455.09
457.72
458.69
456.22
455.58
451.83
453.19
458.58
455.72
456.69
457.85
453.13
458.83
457.25
452.78
454.92
453.69
451.17
455.72
455.38
458.16
457.24
453.28
451
454.92
457.65
452.88
count 63 p-value 0.00523
mean 455.8444444 t_test_value= 2.89473066
sample stdev 2.315438214 t_crit_value 1.998971517

As sample size is 63, we will use t-test as we are not given population standard deviation.

b. For t_test_value = (455.844-455)*sqrt(63)/2.31

for t_crit_value = t.inv.2t(0.05,62)

for p-value = t.dist.2t(t_test_value,62)

As size increases, p-value decreases and test becomes more significant

p-value 0.005232995 0.005612 0.006119 0.007011 0.008959 0.015977 0.033999 0.044352 0.062771 0.101495 0.211753
n 62 50 40 30 20 10 5 4 3 2 1

c. As p-value < 0.05 and t_value > 1.99 , we reject Ho or can say that the average amount of cereal being put in each box is significantly different from 455g.

Please rate my answer and comment for doubt


Related Solutions

A plant manager is interested in developing a quality-control program for an assembly line that produces...
A plant manager is interested in developing a quality-control program for an assembly line that produces light bulbs. To do so, the manager considers the quality of the products that come from the line. The light bulbs are packed in boxes of 12, and the line produces several thousand boxes of bulbs per day. To develop baseline data, workers test all the bulbs in 100 boxes. They obtain the following results: Defective Bulbs/Box Boxes 0 68 1 27 2 3...
A quality control manager at a plant wants to determine if the average width of bolts...
A quality control manager at a plant wants to determine if the average width of bolts is different than 4 mm. A sample of 28 bolts yields sample mean,  mm and sample standard deviation, s = 0.6. The decision with α = 0.05 would be:
Problem: A plant manager is interested in developing a quality-control program for an assembly line that...
Problem: A plant manager is interested in developing a quality-control program for an assembly line that produces light bulbs. To do so, the manager considers the quality of the products that come from the line. The light bulbs are packed in boxes of 12, and the line produces several thousand boxes of bulbs per day. To develop baseline data, workers test all the bulbs in 100 boxes. They obtain the following results: No. of Defective Bulbs/Box No. of Boxes 0...
As a quality control​ manager, you are responsible for checking the quality level of AC adapters...
As a quality control​ manager, you are responsible for checking the quality level of AC adapters for tablet PCs that your company manufactures. You must reject a shipment if you find 5 defective units. Suppose a shipment of 46 AC adapters has 12 defective units and 34 non defective units. Complete parts​ (a) through​ (d) below assuming you sample 15 AC adapters. a) What is the probability that there will be no defective units in the​ shipment? b) What is...
The plant manager at a company would like to perform an analysis for a new $125,000...
The plant manager at a company would like to perform an analysis for a new $125,000 machine. If she estimates benefits of $20,000 in the first year, and benefits are increasing by 10% per year a. What is the payback period for the machine? (Hint: The Payback Period is the length of time required to recover the initial cash outflows through the successive cash inflows, thus find the time when Cumulative PW (at 0%) becomes positive) b. Suppose that the...
A company produces tires for passenger cars. The quality control manager tells the company president that...
A company produces tires for passenger cars. The quality control manager tells the company president that the proportion of defects is less than 1%. A sample of 36 tires reveals a defect rate of 1.8%. Is there evidence that the quality control manager is lying? Use a .05 level of significance
The operations manager of a large production plant would like to estimate the mean amount of...
The operations manager of a large production plant would like to estimate the mean amount of time a worker takes to assemble a new electronic component. After observing 135 workers assembling similar devices, the manager noticed that their average time was 16.0 minutes with a standard deviation of 3.7 minutes. Construct a 95% confidence interval for the mean assembly time. what is the margin of error of the confidence interval? new assume that the population standard deviation of assembly time...
The operations manager of a large production plant would like to estimate the mean amount of...
The operations manager of a large production plant would like to estimate the mean amount of time a worker takes to assemble a new electronic component. Assume that the standard deviation of this assembly time is 3.6 minutes. After observing 125 workers assembling similar devices, the manager noticed their average time was 16.2 minutes. Construct a 95% confidence interval for the mean assembly time.
The operations manager of a large production plant would like to estimate the average amount of...
The operations manager of a large production plant would like to estimate the average amount of time workers take to assemble a new electronic component. After observing a number of workers assembling similar devices, she estimates that the standard deviation is 0.25 hour. How large a sample of workers should she select if she wishes to estimate the mean assembly time to within 3.2 minutes at the 98% confidence level?
The operations manager of a large production plant would like to estimate the average amount of...
The operations manager of a large production plant would like to estimate the average amount of time workers take to assemble a new electronic component. After observing a number of workers assembling similar devices, she guesses that the standard deviation is 10 minutes. How large a sample of workers should she take if she wishes to estimate the mean assembly time to within 20 seconds. Assume the confidence level to be 97%.
ADVERTISEMENT
ADVERTISEMENT
ADVERTISEMENT