HR Analytics Flashcards
Chi Square
1 or two Categorical Variable
Hypothesis
Validate our Assumption (assumption can be arrived from experience or research details or general practice)
Null Hypothesis
Alternative Hypothesis
Status Quo
Investigation will be Alternative (this will have significant)
Type 1 & Type 2 Error
Type 1 (false positive): Accept null when its Wrong
Type 2 (false negative): Reject null when its Right
- probability of making type 1 error is significant (p - 5%,1%, 0.1%)
Logistic regression
Dependent - Binary (yes or no)
Interdependent - one or more category / continuous
Regression
How Independent Variable effects Dependent Variable
Independent samples t-test
Continuous variable
Categorical binary (two groups)
Graph Selection
-> Large / Small Var < 4 = Equal Variance
-> Large / Small Var > 4 = Non Equal Variance
Paired sample t-test
Continuous variable
One group but sampled at two different times
One sample t test
Continuous variable
One group One Time frame
S.E : S.D / Sq.Rt (n)
Tset = (X-Bar -u) / S.E
Pvalue = T.Dist.Rt (X,deg.freedom)
One way ANOVA
1 Continuous Variable
One categorical variable with three or more groups
Simple correlation/regression
continuous variable 1 for correlation
One continuous dependent variable for regression)
continuous variable 2 for correlation
One continuous independent variable for regression
Multiple regression
Continuous Dependent variable
Two or more continuous Independent variables
Reject Null Hypothesis
p < 0.05
Tcritical < Tsat
Regression:
p < 0.05
zero should not come in betwen
Two way ANOVA
1 Continuous Variable
Two Categorical Variable and Inside you have 3 or more group.
Descriptive Analyze
Chi-square
T-Test
One Way Anova
Co-Relation
