# TEST FOR GOODNESS OF FIT

TEST FOR GOODNESS OF FIT A goodness fit of Chi-square compares the observed frequencies with the expected or predicted frequencies.  It tests how well the observed data supports the assumption about the population. CASE ANALYSIS-1  PROBLEM The manager of a retail store has to take the decision regarding the quantity of the different types of chocolate bars Read more about TEST FOR GOODNESS OF FIT[…]

# CHI-SQUARE TEST

CHI-SQUARE TEST INTRODUCTION The various tests of are based on the assumption that the samples have been drawn from the normal. In Z-test, t-tests, F-tests, we had to make an assumption about the population values or parameters and so these are known as “parametric tests”. There are a number of situations in which it is Read more about CHI-SQUARE TEST[…]

# CRONBACH’S ALPHA TEST

CRONBACH’S ALPHA TEST INTRODUCTION Reliability refers to the consistency of the results. A questionnaire used on a similar population that produces similar results can be termed as reliable. Cronbach’s alpha is the most common measure of reliability. It is commonly used when we have multiple Likert questions in a survey/questionnaire that form a scale and Read more about CRONBACH’S ALPHA TEST[…]

# TWO-WAY ANOVA

TWO-WAY ANOVA A two-way ANOVA is used when there is the presence of an additional variable affecting the relationship between the independent and dependent variable. The additional variable, so comes into view is treated as second independent variable. Two-way ANOVA investigates the sources of variations arising in the mean values of dependent variable due to Read more about TWO-WAY ANOVA[…]

# ONE WAY ANOVA

ONE WAY ANOVA The one-way analysis of variance (ANOVA) is used to determine whether there is any significant difference between the means of a dependent variable for three or more unrelated groups of an independent variable. One-way ANOVA is particularly used when there is only one independent variable and one dependent variable. The dependent variable Read more about ONE WAY ANOVA[…]

# ANALYSIS OF VARIANCE (ANOVA)

ANALYSIS OF VARIANCE (ANOVA) INTRODUCTION Analysis of variance (ANOVA) is a statistical method for making simultaneous comparisons between two or more means of a dependent variable affected by numerous factors of an independent variable.  It investigates the causes of differences occurring in the mean values of two or more populations under study. The null hypothesis for Read more about ANALYSIS OF VARIANCE (ANOVA)[…]

# TWO-SAMPLE t-TEST or INDEPENDENT SAMPLE t-TEST

TWO-SAMPLE t-TEST or INDEPENDENT SAMPLE t-TEST INTRODUCTION The two-sample (independent groups) t-test is used to determine whether means of two populations are different from each other based on independent samples selected from each population. Depending on the design of the study, we may decide to perform a one- or two-tailed test. Hypotheses for a Two-Sample Read more about TWO-SAMPLE t-TEST or INDEPENDENT SAMPLE t-TEST[…]