1. A random sample of n = 20 products are taken from the production lines of a factory. Let = 1,..., 20, IID Xi Bernoulli (p) be the indicator of whether the i-th product defective for i where Р denotes the proportion of defective products in the population. It is desirable to test whether the the proportion of defective products is below 30%. (a) State the null hypothesis Ho and the alternative hypothesis Ha. (b) Describe the events of Type I error and Type II error in the procedure of making statistical decisions. = (c) Let T ₁X₁ denote the number of defective items in the sample. Suppose that we decide to reject Ho if T ≤ 4. Let (p) denote the corresponding power function, i.e., T(p) = Pr (T ≤ 4|p). ine he value of (p) at the points p = 0, 0.1, 0.2, 0.3,...,0.9, and 1.0 and etch the power function. (Hint: Use the statistical table for Binomial distribution.) (d) What is the size of the test procedure in part (c), i.e., the maximum probability of making Type I error? (e) What is the power of the test procedure in part (c) when p = 0.1? (Hint: Both part (d) and part (e) can be obtained immediately from the power function (p).)

Calculus For The Life Sciences
2nd Edition
ISBN:9780321964038
Author:GREENWELL, Raymond N., RITCHEY, Nathan P., Lial, Margaret L.
Publisher:GREENWELL, Raymond N., RITCHEY, Nathan P., Lial, Margaret L.
Chapter1: Functions
Section1.2: The Least Square Line
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1. A random sample of n = 20 products are taken from the production lines of a factory. Let
IID
Xi Bernoulli(p) be the indicator of whether the i-th product defective for i = 1,..., 20,
where р denotes the proportion of defective products in the population. It is desirable to test
whether the the proportion of defective products is below 30%.
(a) State the null hypothesis Ho and the alternative hypothesis Ha.
(b) Describe the events of Type I error and Type II error in the procedure of making statistical
decisions.
20
i=1
(c) Let T = 2₁X; denote the number of defective items in the sample. Suppose that we
Σ
decide to reject Ho if T ≤ 4. Let (p) denote the corresponding power function, i.e.,
T(P) = Pr (T≤4|p).
Determine the value of (p) at the points p = 0, 0.1, 0.2, 0.3,...,0.9, and 1.0 and sketch
the power function. (Hint: Use the statistical table for Binomial distribution.)
(d) What is the size of the test procedure in part (c), i.e., the maximum probability of making
Type I error?
(e) What is the power of the test procedure in part (c) when p = 0.1? (Hint: Both part (d)
and part (e) can be obtained immediately from the power function (p).)
Transcribed Image Text:1. A random sample of n = 20 products are taken from the production lines of a factory. Let IID Xi Bernoulli(p) be the indicator of whether the i-th product defective for i = 1,..., 20, where р denotes the proportion of defective products in the population. It is desirable to test whether the the proportion of defective products is below 30%. (a) State the null hypothesis Ho and the alternative hypothesis Ha. (b) Describe the events of Type I error and Type II error in the procedure of making statistical decisions. 20 i=1 (c) Let T = 2₁X; denote the number of defective items in the sample. Suppose that we Σ decide to reject Ho if T ≤ 4. Let (p) denote the corresponding power function, i.e., T(P) = Pr (T≤4|p). Determine the value of (p) at the points p = 0, 0.1, 0.2, 0.3,...,0.9, and 1.0 and sketch the power function. (Hint: Use the statistical table for Binomial distribution.) (d) What is the size of the test procedure in part (c), i.e., the maximum probability of making Type I error? (e) What is the power of the test procedure in part (c) when p = 0.1? (Hint: Both part (d) and part (e) can be obtained immediately from the power function (p).)
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