Did students who attended a review session perform better on the test than those who didn’t? |
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Method(s) used: Independent Samples t-test
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There are multiple different types of t-tests: the one-sample t-test, independent samples t-test, and the paired samples t-test. In this blog, we’ll look at the independent samples t-test, where we compare two groups or samples. For example, did students who attended a review session perform better on the test than those who didn’t? The null hypothesis would be that there is no difference between the groups, whereas the alternative hypothesis would say that there would be group differences. An independent samples t-test requires Read More |
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A correlation measures the relationship between two variables — for example, is a person’s IQ related to their income? |
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Method(s) used: Pearson Correlation
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For a Pearson correlation, we need two variables. Typically, both variables need to be continuous, normally distributed, and unbounded, like height or age. If a variable is categorical, like profession, or if there are a lot of bounded scores, like a lot of 0s or 100s on a test, it won’t work. The test score for a Pearson correlation is r, which has a range from -1 to +1. The r score tells you Read More |
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Analyzing Cholesterol Dataset |
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Method(s) used: Paired-Samples t-test, One-Way Repeated Measures Anova, One-Way Within Subjects Anova
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Cholesterol is a very importance substance in our body for digesting foods, producing hormones, and generating Vitamin D. This blog includes an analysis of a cholesterol dataset Read More |
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Analyzing the Titanic Dataset with MagicStat |
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Method(s) used: Chi-Square Test For Independence, Logistic Regression, Pearson Correlation
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Titanic has become one of the most famous ships in history. It was very sad and tragic that the “unsinkable” ship was built in three years but sank within three days after its departure. Passengers were from the wealthiest people in the world to the middle class to emigrants. Have you ever wondered Read More |
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