Question

please help

Answer 1

with

Answer 2

whats the question

Answer 3

your mail order company advertises that it ships 95% of its orders within three working days. you selecet an srs of 100 of he 5,000 orders received in the past week for an audit. the audit reveals that only 91 of these orders were shipped on time.
a. what is the sample proportion of orders shipped on time?
b)if the company really ships 95% of its orders on time, what is the probability that the proportion in an SRSof 100 orders is as small as the proportion in your sample or smaller?
c) a critic says, "aha you claim 95% but in your sample the on time percentage is lower than that. so the 95% claim is wrong. Does your probability calculation in b support or refute the 95% claim.

Answer 4

no clue sorry :(

Answer 5

thanks anyway

Answer 6

@jim_thompson5910

Answer 7

wait its 0.8

Answer 8

how did you get that

Answer 9

a is 0.8

Answer 10

@SNHUStudent

Answer 11

@edwardp

Answer 12

i am sure a is 0.8

Answer 13

how did you get that though

Answer 14

my friend took this class before so she said thats the answer for a

Answer 15

okay.. that doesnt help me much

Answer 16

any suggestions?

Answer 17

one moment, I'm reading through this

http://courses.wcupa.edu/rbove/Berenson/10th%20ed%20CD-ROM%20topics/section7_3.pdf

to make sure I have the idea down correctly

Answer 18

okay, take your time. I have to go run some errands and I will be back

Answer 19

srs = simple random sample

x = 91 is the number of successes (number that arrived on time)
n = 100 is the sample size
N = 5000 is the population size.

\[\Large \hat{p} = \text{Sample proportion} = \frac{x}{n} = ??\]

let me know what you get for the value of \(\Large \hat{p}\)

Answer 20

.09

Answer 21

way too small, try again

Answer 22

.91

Answer 23

correct

Answer 24

so for part b, what would i do

Answer 25

so that's all we need for a)

Answer 26

for part b), there's going to be a bit more steps

Answer 27

ok so essentially we have this sort of distribution