Usage Of Anova Essay Question 2022

Answer each question using essay format (sentences and paragraphs, not point
form). For each question, answers are limited to a maximum of 150-200 words
1. What is ANOVA?
ANS:
ANOVA is known to be a statistical technique which is mainly required to find out
whether the experimental results are significant or not. Basically in simple words
ANOVA stands for analysis of the variance. The main purpose of using ANOVA is to
find out whether it is needed to reject the null hypothesis in the analysis or to
accept the alternative analysis in the analysis.
Basically on the research design the use of ANOVA mainly depends. Thus, the
usage of ANOVA is been divided into three ways namely one way ANOVA, two way
ANOVA and the last N way ANOVA.
The main objective of one way ANOVA is that using F-distribution two means
from two independent groups are been compared. For two way ANOVA there are
two independents and is an extension of the previous one. It is mainly used when
there is one measurement which can be a qualitative variable and two nominal
variables. Use of more than two independent variables is termed to be as N way
ANOVA.
2. What is chi square?
ANS:
Chi square is a kind of statistical hypothesis test which is generally use to test the
relationships between the categorical variables of the dataset. Using the null
hypothesis of the Chi-Square test it can be said that there should be no existing
relationship over the variables which are mainly categorical and are in the
population as because they are independent. If there is no relationship in the
population then tells the difference observed between the output count and the
expected count which is basically a single number and is the Chi square statistics.
There exist mainly 2 types of chi-square tests and both of them were used for
different purpose and are mainly chi-square goodness of fit test and chi-square test
for independence where if a sample matched with the population then it determined
to be chi-square goodness of fit test and on the other hand when two variables
which are in a contingency table are compared to see if they are related then it is
chi-square test for independence.