## How to Round in R

How to Round in R This is a good source https://www.geeksforgeeks.org/rounding-off-values-in-r-language-round-function/

How to Round in R This is a good source https://www.geeksforgeeks.org/rounding-off-values-in-r-language-round-function/

Chebyshev’s Excel Calculator Chebyshev’s Theorem can be used for any type of distribution, but if the problem says the distribution is “bell shaped,” use the Empirical Rule unless the problem specifically says to use Chebyshev’s. Note: an alternative spelling is Chebychev. Chebyshev’s only applies to problems where the K is > 1. In our MSL …

Add Your Heading Text Here Why is the two-tail p-value always twice the one-tail p-value in a t-test? In the t-test output below, notice that the two-tail p-value is 0.66852 while the one-tail p-value is 0.33426. The two-tail p-value is twice the one-tail p-value. Why is this true? The two-tail p-value is defined as P …

In the last lesson, you learned about the Two-way Chi-square Test for Independence. Using it, you can determine if two categorical variables are independent. If two variables are not independent, they are related. Knowing something about one variable can tell you something about the other variable. In this lesson, you will explore further this idea …

The word “correlate” has several meanings, e.g. “If two or more facts, numbers, etc. correlate or are correlated, there is a relationship between them” (Cambridge Dictionary, n.d.) And “to show that a close connection exists between (two or more things)” (Merriam-Webster, 2019) Also, “to show that two things are connected.” (Macmillan, n.d.) In statistics, we often …

Correlation and Chi-square Tests for Independence Read More »

Empirical Rule The Empirical Rule applies to a normal, bell-shaped curve than is symmetrical about the mean. It states that within one standard deviation of the mean (both left-side and right-side) there is about 68% of the data; within two standard deviations of the mean (both left-side and right-side) there is about 95% of the data; …