BUSN311-1202B-09 Quantitative Methods and AnalysisDeliverable Length:2 pagesDetails:Using AIU’s survey responses from the AIU data set, complete the following requirements in the form of a 2-page...

RUNNING HEAD: Strategic Marketing Plan
Running head: BUSN311 - Quantitative Methods and Analysis
7
Unit 4 – Hypothesis Testing & Variance
Type your Name Here
American InterContinental University
Abstract
The hypothesis tests are performed to test intrinsic job satisfaction for gender (male and female) and extrinsic job satisfaction by position (hourly employee and salaried employee). Both the tests are based on student’s t distribution and two tailed with 5% significance level.
Introduction
Hypothesis Test #1 Looking at Intrinsic Satisfaction by Gender
Null and alternate hypotheses.
Null Hypothesis (Ho): µ1 = µ2
Alternative Hypothesis (Ha): µ1 ≠ µ2
The test
The test
     
    Variable 1
    Variable 2
    Mean
    4.915
    4.958
    Variance
    1.198
    0.487
    Observations
    52
    26
    Pooled Variance
    0.964
    
    Hypothesized Mean Difference
    0
    
    df
    76
    
    t Stat
    -0.179
    
    P(T<=t) one-tail
    0.429
    
    t Critical one-tail
    1.665
    
    P(T<=t) two-tail
    0.858
    
    t Critical two-tail
    1.992
     
The significance level (alpha) is 0.05
Test Statistics
t = -0.179
Critical value = 1.992
State your decision
Since test statistics do not lie outside the rejection region, we have sufficient evidence to fail to reject the null hypothesis
Explanation of decision made
I am making this decision to arrive at the result whether two population means are same or not.
Applications for managers
The manager could use this information to know the...