When writing the methodology section of a quantitative research study, you may need to determine the appropriate sample size. While searching for the best sample size…
A 5-number summary is a simple way to describe a dataset using 5-key statistics: the Minimum, First Quartile (Q1), Median (Q2), Third Quartile (Q3), and Maximum.…
Descriptive statistics are methods or techniques that are widely used to organize and summarize data in a clear and simple way. In data analysis, descriptive statistics…
The sample mean is the average of a subset of data points collected from a larger population. To calculate the sample mean, you sum all the…
After performing an F-test for ANOVA, equality of variance test, or a regression model, you obtain an F-test statistic. The next step involves finding an F-critical…
After computing the F-test statistic for ANOVA, regression, or the F-test for equality of variance, you need to determine whether the results are statistically significant or…
After calculating the t-test statistic, the next step is finding a t-critical value to help you decide whether or not to reject the null hypothesis. If…
The t-distribution table is a chart that shows critical values for the t-distribution. These values help you decide if your test results are statistically significant. This…
The t-critical value is an essential part of statistics and hypothesis testing. It helps you decide whether your results are significant or just due to chance.…
