# Research paper samples using t test

To examine the research question, an independent sample ttest will be conducted to assess if differences exist on a dependent variable by an independent variable.

An independent samples t test is the appropriate statistical test when the purpose of research is to assess if differences exist on a continuous (intervalratio) dependent We would use a t test if we wished to compare the reading achievement of boys and girls.

With a t test, we have one independent variable and one dependent variable. The independent variable (gender in this case) can only have two levels (male and female). Prior to using the ttest, you must make sure that your data does not violate any of the three assumptions underlying the ttest: The scores in your data represent a random sample from the population under study.

The TDistribution and TTest In probability and statistics, Student's tdistribution (or simply the tdistribution) is a continuous probability distribution that arises when estimating the mean of a normally distributed population in situations where the sample size is small (Narasimhan, 1996).

Within the ttest family, the independent samples ttest compares the mean scores of two groups in a given variable, that is, two mean scores of the same variable, whereby one mean represents the average of that characteristic for one group and the other mean represents the average of that specific characteristic in the other group.

The ttest in R is simply the standard implementation of the ttest, so there is no specific need to cite R. I sometimes have added to a paper of mine that I did the analyses in R. But this was more of a remark in the Acknowledgements section. Independent Samples tTest 2. State null and research hypotheses H 0: 1 2 Women will categorize the same number of cartoons as funny as will men. H 1: 1 2 WoWo e w catego e a men will categorize a different number of cartoons funny as as will men.

The ttest was designed to test previously developed hypotheses. For example, it can be used to test whether two batches of beer are equally good. But today ttests are often used to measure the differences between large numbers of sample groups. The independent twosample ttest is used to test whether population means are significantly different from each other, using the means from randomly drawn samples.

This article is a part of the guide: Before using this type of test it is essential to plot the sample data from the two samples and make sure that it has a reasonably normal distribution, or the student's t test will not be suitable. It is also desirable to randomly assign

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