RESEARCH REVIEW

Test for normality is one of the assumptions used to determine which appropriate statistics will be used.

Which of the following is a nominal variable?

These are the added suggestions that you want people to follow when performing future studies.

It is a technique of selecting individual members or a subset of the population to make statistical inferences from them

It is a variable that defines values measured along a scale with each point placed at equal distance from one another.

What measures of central tendency is used by non-parametric test to compare data?

It is a statistical method involving the selection of elements from an ordered sampling frame.

It refers to a smaller, manageable version of a larger group.

It refers to the pool of individuals from which a statistical sample is drawn for a study

It measures the dispersion of a dataset relative to its mean and is calculated as the square root of the variance.

These are “distribution-free” and, as such, can be used for non-normal variables

It compares the means of two independent groups to determine whether the means are significantly different.

Which of the following is a variable in ratio scale?

Which of the following is the parametric counterpart of t-test for independent samples?

It refers to the selection of a sample, this selection is based on the principle of randomization.

Which of the following is a parametric test?

Which of the following does not belong to the group?

A statistics wherein you take data from samples and make generalizations about a population.

It implies average and it is the sum of a set of data divided by the number of data.

It helps you find out whether the differences between groups of data are statistically significant.

It involves selecting a sample from the population because it is accessible.

It is a sampling technique in which existing subjects provide referrals to recruit samples required for a study.

Which of the following is a non-parametric tool used to determine association or relationship among variables?

It is the science concerned with for collecting, analyzing, interpreting and presenting empirical data.

It is the test statistics that measures the statistical relationship, or association, between two continuous variables.

It wraps up what you have been discussing in your research paper.