question 5\na company that produces socks wants to estimate the percent of the socks produced in a typical…

question 5\na company that produces socks wants to estimate the percent of the socks produced in a typical week that are defective. a random sample of 310 socks produced in a certain week were inspected. based on the sample, it is estimated that 12% of all socks produced by the company in this week are defective, with an associated margin of error of 3.62%. based on the estimate and associated margin of error, which of the following is the most appropriate conclusion about all socks produced by the company during this week?\na) 3.62% of the socks are defective.\nb) it is plausible that between 8.38% and 15.62% of the socks are defective.\nc) 12% of the socks are defective.\nd) it is plausible that more than 15.62% of the socks are defective.\n\nquestion 6\na special camera is used for underwater ocean research. the camera is at a depth of 39 fathoms. what is the cameras depth in feet? (1 fathom = 6 feet)\na) 234\nb) 117\nc) 45\nd) 7
Answer
Question 5
Explanation:
Step1: Recall margin - of - error concept
The estimated proportion of defective socks is 12% with a margin of error of 3.62%. The confidence interval is calculated as the estimate plus and minus the margin of error.
Step2: Calculate lower and upper bounds
Lower bound = 12% - 3.62%=8.38% Upper bound = 12% + 3.62% = 15.62% This means it is plausible that the true proportion of defective socks lies within this interval.
Answer:
B. It is plausible that between 8.38% and 15.62% of the socks are defective.
Question 6
Explanation:
Step1: Use conversion factor
Given that 1 fathom = 6 feet, and the camera is at a depth of 39 fathoms.
Step2: Calculate depth in feet
We multiply the number of fathoms by the conversion factor. So, the depth in feet is 39×6. 39×6 = 234
Answer:
A. 234