Analysis of Variance or ANOVA is a type of significance test in hypothesis testing where we make decisions on population based on the sample data. It is an extension of the t-test. This article covers… Read More »What is the Analysis of Variance (ANOVA) Test
T distribution table is a table that shows the critical values of the t-distribution or critical t score. The critical t-value defines the threshold for significance for the hypothesis test. You can decide to accept… Read More »How to use the t distribution table
Z score table is a standard normal distribution table. It tells us what percentage of values fall below a certain z-score in a normal distribution. We use the z-table to calculate the p-value or critical… Read More »How to use the Z score table?
What is Z Test A z test is a statistical test in hypothesis testing to determine whether two population means are different when the population variance is known and the sample size is large. Z-tests… Read More »Z Test – Formula, Definition, Examples, Types
During hypothesis testing, we need to judge whether we need One Tailed Test or Two Tailed Test to calculate the p-value and critical value. Therefore, we select or reject the null hypothesis based on whether… Read More »One tailed test vs Two tailed test
Paired t-test or Dependent sample t-test is a type of t-test that is used in machine learning for hypothesis testing. This article covers one sample t-test with examples and how we can implement this in… Read More »Paired t-test in hypothesis testing
Independent two sample t-test is a type of t-test that is used in machine learning for hypothesis testing. This article covers one sample t-test with examples and how we can implement this in Python. What… Read More »Independent Two Sample t-test for Hypothesis Testing
We can not infer 100% accurate information about the population from sample data. Therefore, we are always concerned about whether our sample data reflects the actual population while making business decisions based on sample data. We… Read More »Margin of Error: Definition, Calculation with Example
What is Correlation Coefficient? Correlation Coefficient Correlation Type Example 0 No-Correlation a change in one parameter will not impact the other parameter. -1 Perfectly Negative Correlation An increase in one parameter will decrease the other.… Read More »What is the Correlation Coefficient?
Hypothesis testing and confidence Interval are inferential techniques that use an approximation of sample distribution. Confidence intervals use sample data to estimate a population parameter. Whereas, hypothesis testing uses sample data to test a hypothesis.… Read More »Understand Confidence Interval with examples and Python Code
