Unit IV - In-Class Activities

17-1: Penny Spinning

(a) Answers vary.

(b) statistic; 

(c) no

(d) no

17-2: Critical Values

(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

17-4: Penny Spinning (cont.)

(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.

17-6: Effect of Sample Size

(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 

Fixed 

Increases 

Increases </

Fixed 

Increases 

Increases 

Increases 

Fixed 

Decreases 

Decreases 

Fixed 

Increases 

Increases 

Increases 

Fixed 

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.

18-4: Students' Credit

(a) - (b) Answers vary.

(c) It is doubtful that the results would generalize to a larger population.

19-1: ESP Testing ( cont. )

(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  .25 (better than guessing) 

Fred 

28 

.28 

.2442 

none 

Barney 

31 

.31 

.0829 

some 

Betty 

34 

.34 

.0188 

much 

Wilma 

37 

.37 

.0028 

very much 

19-2: ESP Testing ( cont. )

(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 

19-3: Effect of Sampling Size

(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;  &shy; 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 

not equal to .5 

1.633 

.1024 

85 heads, 65 tails 

not equal to .5 

-1.633 

.1024 

65 heads, 85 tails 

< .5 

1.633 

.0512 

85 heads, 65 tails 

< .5 

-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.

20-3: Advertising Strategies

(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

20-5: Elvis and Alf ( cont. )

(a) z = 216.887
p-value = 0 (virtually)

(b) (.569, 571)

(c) The sampling procedure was horribly biased in favor of Landon.