In: Statistics and Probability
At a local store, 65 female employees were randomly selected and it was found that their mean monthly income was $625 with a standard deviation of $121.50. Seventy-five male employees were also randomly selected and their mean monthly income was found to be $667 with a standard deviation of $168.70. Test the hypothesis that male employees have a higher monthly income than female employees. Use α = 0.01. Use any method, however, follow the PHANTOMS acronym.
P - Parameter Statement
H - Hypotheses
A - Assumptions & Conditions
N - Name the Test and state the curve you're using
T - Test Statistic - Round your value to TWO decimals and state the command you used to find this value
O - Obtain the
P-Value or Critical Value . State the command you are using to find these values
M - Make a Decision about the Null Hypothesis and explain why
S - State Your Conclusion About the Claim
P
male employees have a higher monthly income than female employees
---------------------
H
Ho : µ1 - µ2 = 0
Ha : µ1-µ2 < 0
===================
A=
population from which samples are taken are normally distributed
============
N=
Hypothesis test: Difference of two means (two independnet sample t test)
=========
T=
Sample #1 ----> 1
mean of sample 1, x̅1= 625.000
standard deviation of sample 1, s1 =
121.500
size of sample 1, n1= 65
Sample #2 ----> 2
mean of sample 2, x̅2= 667.000
standard deviation of sample 2, s2 =
168.700
size of sample 2, n2= 75
difference in sample means = x̅1-x̅2 =
625.0000 - 667.0 =
-42.00
pooled std dev , Sp= √([(n1 - 1)s1² + (n2 -
1)s2²]/(n1+n2-2)) = 148.6851
std error , SE = Sp*√(1/n1+1/n2) =
25.1967
t-statistic = ((x̅1-x̅2)-µd)/SE = (
-42.0000 - 0 ) /
25.20 = -1.67
==============
O=
Degree of freedom, DF= n1+n2-2 =
138
t-critical value , t* =
-2.354 (excel function: =t.inv(α,df)
p-value = 0.048903 [
excel function: =T.DIST(t stat,df) ]
===========
M=
p-value>α , Do not reject null hypothesis
================
S
There is not enough evidence to conclude that male employees have a higher monthly income than female employees.