(a) Answers vary.
(b) statistic;
(c) no
(d) no
(a)

(b) .975
(c) 1.96
(d) z* = 1.44
17-3: Penny Spinning ( cont. )
(a) Answers vary.
(b) no
(c) - (d) Answers vary.
(e) look at
(f) Simple random sampling, large sample size
(a) - (b) Answers vary.
(c) no
(d) 95% of all intervals generated by this procedure do capture the actual parameter value.
17-5: Effect of Confidence Level
(a) (Asks for prediction)
(b)-(c) Answers vary , but the intervals should get gradually wider (with the same center).
(d) Requiring less confidence allows for a narrower interval.
(a) (Asks for prediction)
(b)
|
Sample Size |
Sample heads |
Confidence interval |
Half-width |
Width |
|
100 |
35 |
(.257, .443) |
.093 |
.156 |
|
400 |
140 |
(.303, .397) |
.047 |
.094 |
|
800 |
280 |
(.317, .383) |
.073 |
.066 |
|
1600 |
560 |
(.327, .373) |
.023 |
.046 |
(c) The intervals get narrower as the sample size gets larger.
(d) twice as big
(e) cuts the half-width in half
![]()
18-1: American Moral Decline ( cont. )
(a) (.7294, .7906)
(b) simple random sample; large sample size
(c) .0306
(d) This margin of error comes from the half-width of the 95% confidence interval.
(e)
(f) (Asks for prediction)
(g) .0187; .0419
(h) The margin-of-error decreases as the sample size increases.
(i) Greater, since the sample size of men only would be smaller than that of the complete sample.
18-2: Congressional Term Limits
(a) need 601 people (rounded up from 600.25)
(b) (Asks for prediction)
(c) 9604
(d) (Asks for prediction)
(e) 16,590
(f) not at all
(g)
|
Case |
Sample size |
Confidence level |
C.I. half-width |
|
1 |
Fixed |
Increases |
Increases </ |
|
2 |
Fixed |
Increases |
Increases |
|
3 |
Increases |
Fixed |
Decreases |
|
4 |
Decreases |
Fixed |
Increases |
|
5 |
Increases |
Increases |
Fixed |
|
6 |
Increases |
Increases |
Fixed |
(h) the whole population of American adults
18-3: Female Senators ( cont. )
(a) (.034, .146)
(b) no
(c) horribly biased sampling method
(d) No, because we know the whole population of the 1994 U.S. Senate.
(a) - (b) Answers vary.
(c) It is doubtful that the results would generalize to a larger population.
![]()
(a) .25
(b) no
(c) yes
(d) yes
(e) Wilma
(f) normal distribution with mean .25 and standard deviation .0433
(g) no
(h) yes
(i)
|
Subject Approx.probability of doing so well by just guessing |
Your belief that |
|||||
|
Fred |
28 |
.28 |
.2442 |
none |
||
|
Barney |
31 |
.31 |
.0829 |
some |
||
|
Betty |
34 |
.34 |
.0188 |
much |
||
|
Wilma |
37 |
.37 |
.0028 |
very much |
||
(a)
:
= .25
(The subject is just guessing and would get 25% right in long run.)
(b)
:
.25
(The subject does better then guessing and would get more than 25% right in long run.)
(c) z = 1.39
(d) p-value = .0823
(e) If Barney were just guessing, he'd do this well or better about 8.23% of the time in the long run.
(f) There is some, but not much, evidence to support the claim that Barney does better than just guessing.
(g) yes; yes; no
(h) no; no; no
(i)
|
Subject |
Sample proportion |
Test statistic |
p-value |
Signif. at .10 level? |
Signif. at 0.5? |
Signif. at .01? |
|
Fred |
0.28 |
0.69 |
0.2442 |
no |
no |
no |
|
Barney |
0.31 |
1.39 |
0.0829 |
yes |
no |
no |
|
Betty |
0.34 |
2.08 |
0.0188 |
yes |
yes |
no |
|
Wilma |
0.37 |
2.77 |
0.0028 |
yes |
yes |
yes |
(a) parameter, since it pertains to the entire population of adult Americans.
(b)
:
= .5;
:
.5
(c) statistic
(d) sample size
(e) (Asks for prediction)
(f)
|
Sample size |
(One-sided) p-value |
Signif. at .10 level? |
Signif. at .05? |
Signif at .01 level? |
Signif at .001 level? |
|
100 |
.2119 |
no |
no |
no |
no |
|
300 |
.0829 |
yes |
no |
no |
no |
|
500 |
.0368 |
yes |
yes |
no |
no |
|
1000 |
.0059 |
yes |
yes |
yes |
no |
|
2000 |
.0002 |
yes |
yes |
yes |
yes |
(g) if the sample size was quite large
![]()
20-1: Penny Spinning ( cont. )
(a)
, the proportion of all penny spins that would land heads
(b) two-sided;
you are looking at "euqally likely" without regard to more or less.
(c)
:
= 0.5;
:
­ 0.5
(d) z = -1.633; p-value = .1025
(e) z = 1.633; p-value = .1025
(f) no
(g)
:
= 0.5;
:
< 0.5
(h) z = -1.633; p-value = .0512
(i) z = 1.633; p-value = .9488
(j) The sample result is not even in the direction of the alternative hypothesis.
(k)
|
Sample Result |
Alternative hypothesis |
Test statistic |
p-value |
|
65 heads, 85 tails |
|
1.633 |
.1024 |
|
85 heads, 65 tails |
|
-1.633 |
.1024 |
|
65 heads, 85 tails |
|
1.633 |
.0512 |
|
85 heads, 65 tails |
|
-1.633 |
.9488 |
20-2: American Moral Decline ( cont. )
(a) (.729, .790)
(b) no
(c) - (g)
|
Hypothesized value of |
Contained in 95% c.i.? |
Test statistic |
(Two- sided) p-value |
Significant at .05 level? |
|
.50 |
no |
14.187 |
Å0 |
yes |
|
.70 |
no |
3.543 |
.0004 |
yes |
|
.75 |
yes |
0.591 |
.5575 |
no |
|
.78 |
yes |
-1.363 |
.1729 |
no |
|
.80 |
yes |
-2.779 |
.0055 |
yes |
(h) Whenever the confidence interval includes the value, the test is not significant. Whenever the confidence interval does not include the value, the test is significant.
(a) z = 1.556; p-value = .0598
(b) z = 1.697; p-value = .0448
(c) z = 3.394 ; p-value = .0003
(d) a and b
(e) b and c
20-4: Tax Return Errors ( cont. )
(a)
= .30626
(b) (Asks for prediction)
(c)
:
=.3 ;
:
not equal to.3
z = 3.055; p-value = .0023
(d) (.301, .312)
(e) no
(f) no
(a) z = 216.887
p-value = 0 (virtually)
(b) (.569, 571)
(c) The sampling procedure was horribly biased in favor of Landon.