One Tail Test

  • date 20th July, 2019 |
  • by Prwatech |

One Tail Test Tutorial


One Tail Test tutorial, Are you the one who is looking for the best platform which provides information about One Tail Test in data science? then welcome to the land of One Tail Test tutorial. Before proceeding, we recommend you to go through our previous blog in this series on the need for a Hypothesis testing tutorial in data science.


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One Tail Test definition



one tailed test tutorial 


A statistical hypothesis test in which an alternative hypothesis has only one end is known as the one-tailed test.

As the name suggests One Tail test is a test involving the lower part or the part at the Tail of the curve is known as the One-Tailed Test.

It uses Normal Distribution having bell-shaped curved.

It is mainly used when One value is greater or less than another value.

One Tail Test used to determine the rejection.


Types of a one-tailed test in Data Science


There are mainly two types of One-Tailed Test, i.e.


Left One Tail Test:


If the value of the first mean is greater than then the second mean.

Its value is positive.


Right One Tail Test:


If the value of the second mean is greater then first mean

Its value is in negative figures.

Over 5% of significance as shown in the figure. 95 % of the region is over acceptance.


Why we use the One-Tailed Test in Data Science?


A one-tailed test is a type of significance test used when the hypothesis being tested is asking determine some value is significantly greater or significantly smaller than is to be expected by chance.

Before performing one-tailed tests, it’s necessary that the data set must have a normal distribution and that the hypotheses are stated as directional hypotheses. Let’s look at each of these factors before our analyses.


One Tail Test Example


Consider a new medical drug that they want to prove is more beneficial than an older version of the drug.

They do their randomized assignment and conduct a perfect Procedure. Now, only one thing is important if the new drug is more effective than the old drug. If you fail to reject the null hypothesis then production and research on the new drug are not going forward so the same consequences for failing to reject the null hypothesis and rejecting the null in the wrong direction are the same.

Either way, the new drug will not be used so setting up a one-tailed t-test to specifically look at if the new drug is better at reducing headaches.


How To Calculate hypothesis testing using One Tail Test?


Please Refer to Example Part P-value.


We hope you have understood the basics of the One Tail Test tutorial with examples in data science. Be a part of future technologies like Data Science. Register from Data Science Training in Bangalore by industry experts at Prwatech.






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