People end up tossing 12% of what they buy at the grocery store (reader's digest, march, 2009). assume this is the true population proportion and that you plan to take a sample survey of 540 grocery shoppers to further investigate their behavior. a- show the sampling distribution of ( p¯ ), the proportion of groceries thrown out by your sample respondentsb- what is the probability that the sample proportion will be within ±.02 of the population proportion? c- what is the probability that your survey will provide a sample proportion within ±.015 of the population proportion?

Consider the following calculations

Explanation:

People end up tossing 12% of what they buy at the grocery store (Reader's Digest, March, 2009). Assume this is the true population proportion and that you plan to take a sample survey of 540 grocery shoppers to further investigate their behavior.

a- Show the sampling distribution of ( p¯ ), the proportion of groceries thrown out by your sample respondents

sampling distribution of ( p¯ ) is normal with

mean = 0.12   and

standard error = sqrt(p(1-p)/n) = sqrt(0.12*0.88/540) =0.0140

b- what is the probability that the sample proportion will be within ±.03 of the population proportion?

z value for 0.03 difference, z=0.03/0.014 =2.14

The required P= P( -2.14<z<2.14) = P( z <2.14) – P( z <-2.14)

=0.9838 - 0.0162

=0.9676

c- what is the probability that your survey will provide a sample proportion within ±.015 of the population proportion?

z value for 0.015 difference, z=0.015/0.014 =1.07

The required P= P( -1.07<z<1.07) = P( z <1.07) – P( z <-1.07)

=0.8577 - 0.1423

=0.7154

d- What would be the effect of taking a larger sample on the probabilities in parts (b) and (c)? Why?

Taking a larger sample will decrease the standard error. The probabilities in parts (b) and (c) will increase.

answer; /// i do believe the correct answer is (30,000);