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 five number summary is a simple way to describe a dataset using just five key values: the minimum, first quartile (Q1), median, third quartile (Q3),…
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 one of the most common and useful measures in statistics. It gives you a single number that summarizes the average value of…
After performing an F-test—such as ANOVA or a comparison of variances—you end up with an F-statistic. To determine whether the result is statistically significant, you must…
The F distribution is a type of probability distribution used in statistics. It is commonly applied in tests that compare variances, such as ANOVA and regression…
A t critical value is a cutoff point that helps you decide if your results are statistically significant. Many people find it easier to calculate this…
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.…
