After developing your initial research hypothesis (the prediction that you want to investigate), it is important to restate it as a null (Ho) and alternate (Ha) hypothesis so that you can test it mathematically…
Two Sample t-test: Definition, Formula, and Example
A two sample t-test is used to determine whether or not two population means are equal. This tutorial explains the following: The motivation for performing a two sample t-test. …
Hypothesis Testing: A Complete Guide for Beginners
Statistical hypothesis testing is an essential method in statistics for making informed decisions based on data. By understanding the basics of null and alternative …
One-Tailed and Two-Tailed Hypothesis Tests Explained
Two-tailed hypothesis tests are also known as nondirectional and two-sided tests because you can test for effects in both directions. When you perform a two-tailed test, you split the significance level percentage between …
Hypothesis Testing
In simple terms, hypothesis testing is a method used to make decisions or inferences about population parameters based on sample data. Imagine being handed a dice and asked if it’s biased. By rolling it a few times …
Hypothesis Testing: 2 Means (Independent Samples)
Identify the null and alternative hypotheses. Calculate the test statistic, t = (¯x1 − ¯x2) −(μ1 −μ2) √ s2 1 n1 + s2 2 n2 t = (x 1 ¯ − x 2 ¯) − (μ 1 − μ 2) s 1 2 n 1 + s 2 2 n 2. Find the critical value (s) OR the p-value OR both. Apply the Decision …
Hypothesis Testing: Uses, Steps & Example
Hypothesis tests are vital statistical analysis tools that evaluate the validity of new theories by comparing them to empirical data. They provide a structured approach to decision-making, emphasizing data-driven insights over personal …
COMMENTS
After developing your initial research hypothesis (the prediction that you want to investigate), it is important to restate it as a null (Ho) and alternate (Ha) hypothesis so that you can test it mathematically…
A two sample t-test is used to determine whether or not two population means are equal. This tutorial explains the following: The motivation for performing a two sample t-test. …
Statistical hypothesis testing is an essential method in statistics for making informed decisions based on data. By understanding the basics of null and alternative …
Two-tailed hypothesis tests are also known as nondirectional and two-sided tests because you can test for effects in both directions. When you perform a two-tailed test, you split the significance level percentage between …
In simple terms, hypothesis testing is a method used to make decisions or inferences about population parameters based on sample data. Imagine being handed a dice and asked if it’s biased. By rolling it a few times …
Identify the null and alternative hypotheses. Calculate the test statistic, t = (¯x1 − ¯x2) −(μ1 −μ2) √ s2 1 n1 + s2 2 n2 t = (x 1 ¯ − x 2 ¯) − (μ 1 − μ 2) s 1 2 n 1 + s 2 2 n 2. Find the critical value (s) OR the p-value OR both. Apply the Decision …
Hypothesis tests are vital statistical analysis tools that evaluate the validity of new theories by comparing them to empirical data. They provide a structured approach to decision-making, emphasizing data-driven insights over personal …