Amanufacturer receives parts from two suppliers. an srs of 400 parts from supplier 1 finds 20 defective; an srs of 100 parts from supplier 2 finds 10 defective. let p1 and p2 be the proportion of all parts from suppliers 1 and 2, respectively, that are defective. is there evidence of a difference in the proportion of defective parts produced by the two suppliers? to make this determination, you test the hypotheses h0 : p1 = p2 and ha : p1 ≠ p2. the p-value of your test is

a) 0.1164.

b) 0.0301.

c) 0.0602.

Option C) 0.0602  

Step-by-step explanation:

We are given the following in the question:

Let p1 and p2 be the proportion of all parts from suppliers 1 and 2, respectively, that are defective.

First, we design the null and the alternate hypothesis

We use Two-tailed z test to perform this hypothesis.

Formula:

Putting all the values, we get,

Now, we calculate the p-value from the table at 0.05 significance level.

P-value = 0.0602

Thus, the correct answer is

Option C) 0.0602

answer: just subtact the units and then add the non negative : happy to

step-by-step explanation:

walter needs to make at least 5 more cookies but no more than 40. 5 ≤ x ≤ 40

step-by-step explanation:

20 ≤ x + 15 ≤ 55

subtract 15 from all parts

20-15 ≤ x + 15-15 ≤ 55-15

5 ≤ x ≤ 40

this means how many more cookies he has to make

walter needs to make at least 5 more cookies, but no more than 40 cookies; 5 ≤ x ≤ 40