Question

In: Statistics and Probability

Some years, the Gallup Poll asks respondents how much confidence they have in various American institutions....

Some years, the Gallup Poll asks respondents how much confidence they have in various American institutions. You may assume the results are based on a simple random sample of 1000 persons each year; the samples are independent from year to year.

a) In 2005, only 41% of the respondents had “a great deal or quite a lot” of confidence in the Supreme Court, compared to 50% in 2000. Is the difference real?

b) In 2005, only 22% of the respondents had “a great deal or quite a lot” of confidence in Congress, whereas 24% of the respondents had “a great deal or quite a lot” of confidence in labor. Is the difference between 24% and 25% real?

Solutions

Expert Solution

Solution

The test procedure for both parts is the same, which is explained in brief below.

Back-up Theory

To test if observed difference in sample proportions reflects real difference, i.e., difference in population proportions

Hypotheses:

Null H0 : p1 = p2   Vs HA : p1 p2

Test Statistic:

Z = (p1cap – p2cap)/√[pcap(1 - pcap){(1/n1) + (1/n2)} where p1cap and p2cap are sample proportions, n1, n2 are sample sizes and pcap = {(n1 x p1cap) + (n2 x p2cap)}/(n1 + n2).

Distribution, Significance Level, α, Critical Value and p-value:

Under H0, distribution of Z can be approximated by Standard Normal Distribution

So, given a level of significance of α%, Critical Value = upper (α/2)% of N(0, 1), and

p-value = P(Z > | Zcal |)

Using Excel Functions Statistical NORMSINV and NORMSDIS, Critical Value and p-value can be found.

Decision:

If | Zcal | > Zcrit, or equivalently, p-value < α, H0 is rejected.

Now, to work out the solution,

Given n1 = n2= 1000 for both parts

Part (a)

Calculations:

n1 =

1000

n2 =

1000

x =

410

y =

500

p1cap =

0.41

p2cap =

0.5

pcap =

0.455

Zcal =

-4.041322996

α =

0.05

Zcrit

1.959963985

p-value

0.00005315

Decision:

Since | Zcal | > Zcrit, or equivalently, p-value < α, H0 is rejected.

Conclusion :

There is enough evidence to conclude that the difference in proportion is real. Answer 1

Part (b)

n1 =

1000

n2 =

1000

x =

220

y =

240

p1cap =

0.22

p2cap =

0.24

pcap =

0.23

Zcal =

-1.062687855

α =

0.05

Zcrit

1.959963985

p-value

0.2879235303

Decision:

Since | Zcal | < Zcrit, or equivalently, p-value > α, H0 is accepted.

Conclusion :

There is not enough evidence to conclude that the difference in proportion is real, i.e., the observed difference is not real. Answer 2

DONE


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