Data:
n = 200
p = 0.05
p' = 4/200 = 0.02
Hypotheses:
Ho: p ≤ 0.05
Ha: p > 0.05
Decision Rule:
α = 0.05
Critical z- score = 1.644853627
Reject Ho if z > 1.644853627
Test Statistic:
SE = √{(p (1 - p)/n} = √(0.05 * (1 - 0.05)/√200) = 0.015411035
z = (p' - p)/SE = (0.02 - 0.05)/0.0154110350074224 = -1.946657054
p- value = 0.9742121
Decision (in terms of the hypotheses):
Since -1.946657 < 1.644853627 we fail to reject Ho
Conclusion (in terms of the problem):
There is no sufficient evidence that the fraction defective is more than 0.05. The customer need not worry.
[Please give me a Thumbs Up if you are satisfied with my answer. If you are not, please comment on it, so I can edit the answer. Thanks.]
3. A semiconductor manufacturer produces controller used in automobile engine applications. The customer requires that the...
A semiconductor manufacturer produces controllers used in automobile engine applications. Assume the manufacturer takes a random sample of 200 devices and finds that 19 of them are defective. Construct a 95% confidence interval around the true proportion defective.
EXA 9-10B A semiconductor manufacturer produces controllers used in automobile engine applications, The customers require that the error in estimating the true proportion of defective items must be less than 0.04. From a previous survey, the estimate is 0.06. How large a sample is required? Ans: 136 EXA 9-10B A semiconductor manufacturer produces controllers used in automobile engine applications. The customers require that the error in estimating the true proportion of defective items must be less than 0.03. From a...
3. A manufacturer of semiconductor devices takes a random sample of 100 chips and tests them, classifying each chip as defective or nondefective. Let X; = 0 if the chip is nondefective and Xi = 1 if the chip is defective. The sample fraction defective is X1 + X2 + ... + X100 100 What is the sampling distribution of the random variable ?
2.) A manufacturer produces crankshafts for an automobile engine. The crankshaft's diameter (3cm) is of interest because it is likely to have an impact on warranty claims. A random sample of n=15 shafts is tested and = 2.78em. It is known that the true deviation in wear is 0.9cm and the wear is normally distributed. Is there evidence that the diameter of the crankshafts is not 3cm? Show all work! Step 1: Step 2: Step 3: Step 4: Step 5:...
Controlling the spark ignition of an automobile engine requiresa constant behavior over a wide range of parameters. The figureshows the control system with adjustable controller gain K. Theparameter p is equal to 3 for many cars, but can be equal to zero forthose of high performance. Select a gain K that results in astable system for both values of p. With the values of the gain Kselected, obtain the response (Analytical solution) of the system to an inputunit step and...
Hypothesis Testing Example 7: Steps in Hypothesis Testing: A manufacturer claims that the thickness of the spearmint gum it produces is 7.5 one- hundredths of an inch. A quality control specialist regularly checks this claim. On one production run, he took a random sample of n= 10 pieces of gum and measured their thickness. The quality control specialist's hypotheses are: HO: 1. Step 1: State Hypotheses 2. Step 2: Select alpha, Draw Picture, Label Critical Values and Rejection Region(s) 3....
n-Class Exercise 1 Instructions: Submit your work through Blackboard by the due date. Late submissions are not allowed. You can take photos of or scan your solutions Calculate or write the formulas for each test statistic and p-value for each hypothesis test question (questions 7-10). It is true you will never have to calculate these in real life, however, you should know what Megastat, or any other statistical software, is calculating. 1) According to an IRS study, it takes a...
SYNOPSIS The product manager for coffee development at Kraft Canada must decide whether to introduce the company's new line of single-serve coffee pods or to await results from the product's launch in the United States. Key strategic decisions include choosing the target market to focus on and determining the value proposition to emphasize. Important questions are also raised in regard to how the new product should be branded, the flavors to offer, whether Kraft should use traditional distribution channels or...