Help nubcke Learn Statistics! :D
Started by nubcke, Apr 10 2011 02:40 PM
2 replies to this topic
#1
Posted 10 April 2011 - 02:40 PM
#2
Posted 10 April 2011 - 04:03 PM
You need to find the confidence interval of your LIFE first.
#3
Posted 10 April 2011 - 05:18 PM
First you need to find p1 and p2.
-Let Women who find female bosses more harsh(26%, 8525) be x1 and 32787 be n1 since it's half of the sample size.
-Let Men who find female bosses more harsh(24%, 7869) be x2 and 32787 is n2.
-p1 is given as x1/n1 and p2 is x2/n2.
p1 = .26
p2 = .24
alpha = 1 - .95 = .05
So alpha/2 = .025
In general, a confidence interval is created using a value plus or minus the Z-score times the Standard Error. In the case of a proportion, the equation is
(p1-p2) +/- Za/2 * SQRT((p1(1-p1)/n1 + p2(1-p2)/n2)
Looking at the cumulative normal distribution chart, the z score for .025 is -1.96, if you don't have the chart, in excel do =NORMSINV(.025).
The standard error is SQRT((.26*.74)/32787 + (.24*.76)/32787) = .00338
So plug all that good shit in and the answer is
(p1-p2) + Za/2 * SQRT((p1(1-p1)/n1 + p2(1-p2)/n2)
.02 + (-1.96 )* .00338 = 0.0134
(p1-p2) - Za/2 * SQRT((p1(1-p1)/n1 + p2(1-p2)/n2)
.02 - (-1.96) * .00338 = 0.0266
-Let Women who find female bosses more harsh(26%, 8525) be x1 and 32787 be n1 since it's half of the sample size.
-Let Men who find female bosses more harsh(24%, 7869) be x2 and 32787 is n2.
-p1 is given as x1/n1 and p2 is x2/n2.
p1 = .26
p2 = .24
alpha = 1 - .95 = .05
So alpha/2 = .025
In general, a confidence interval is created using a value plus or minus the Z-score times the Standard Error. In the case of a proportion, the equation is
(p1-p2) +/- Za/2 * SQRT((p1(1-p1)/n1 + p2(1-p2)/n2)
Looking at the cumulative normal distribution chart, the z score for .025 is -1.96, if you don't have the chart, in excel do =NORMSINV(.025).
The standard error is SQRT((.26*.74)/32787 + (.24*.76)/32787) = .00338
So plug all that good shit in and the answer is
(p1-p2) + Za/2 * SQRT((p1(1-p1)/n1 + p2(1-p2)/n2)
.02 + (-1.96 )* .00338 = 0.0134
(p1-p2) - Za/2 * SQRT((p1(1-p1)/n1 + p2(1-p2)/n2)
.02 - (-1.96) * .00338 = 0.0266
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