In: Statistics and Probability
In a study of red/green color blindness, 900 men and 3000 women
are randomly selected and tested. Among the men, 84 have red/green
color blindness. Among the women, 6 have red/green color blindness.
Test the claim that men have a higher rate of red/green color
blindness.
(Note: Type ?_? ???=?_? for the proportions are
not equal, ?_?>?_? for the proportion of men
with color blindness is larger, ?_?<?_? , for
the proportion of men is smaller, and ?_?=?_? for
the proportions are equal. )
(a) State the null hypothesis:
(b) State the alternative hypothesis:
(c) The test statistic is (to two decimal places)
(d) Construct the 99% confidence interval for the difference between the color blindness rates of men and women (round to at least three decimal places). Remember to recalculate the SE, since it is different for CIs and tests.
In a study of red/green color blindness, 900 men and 3000 women
are randomly selected and tested. Among the men, 84 have red/green
color blindness. Among the women, 6 have red/green color blindness.
Test the claim that men have a higher rate of red/green color
blindness.
(Note: Type ?_?
???=?_?
for the proportions are not equal,
?_?>?_?
for the proportion of men with color blindness is larger,
?_?<?_?
, for the proportion of men is smaller, and
?_?=?_?
for the proportions are equal. )
Ho: ?_? =?_?
(b) State the alternative hypothesis:
H1: ?_? > ?_?
This is upper tail test
(c) The test statistic is 16.01 (to two decimal places)
p1 |
p2 |
P |
|||
0.0933 |
0.002 |
0.0231 |
p (as decimal) |
||
84/900 |
6/3000 |
90/3900 |
p (as fraction) |
||
84. |
6. |
90. |
X |
||
900 |
3000 |
3900 |
n |
Standard error = 0.0057 |
Data |
|
Hypothesized Difference |
0 |
Group 1 |
|
Number of Items of Interest |
84 |
Sample Size |
900 |
Group 2 |
|
Number of Items of Interest |
6 |
Sample Size |
3000 |
Intermediate Calculations |
|
Group 1 Proportion |
0.0933 |
Group 2 Proportion |
0.0020 |
Difference in Two Proportions |
0.0913 |
Average Proportion |
0.0231 |
Z Test Statistic |
16.0052 |
(d) Construct the 99% confidence interval for the difference between the color blindness rates of men and women (round to at least three decimal places). Remember to recalculate the SE, since it is different for CIs and tests.
99% CI= (0.066, 0.116)
CI = p1-p2 ± z*se
Standard error of p1-p2= se=
Confidence Interval Estimate |
|
of the Difference Between Two Proportions |
|
Data |
|
Confidence Level |
99% |
Intermediate Calculations |
|
Z Value |
2.576 |
Std. Error of the Diff. between two Proportions |
0.0097 |
Interval Half Width |
0.0251 |
Confidence Interval |
|
Interval Lower Limit |
0.0663 |
Interval Upper Limit |
0.1164 |