Introduction

In this the first video, you are introduced to hypothesis testing for the Binomial Distribution and shown what we mean by the Null and Alternative hypothesisis, notation used, one tail tests and significance levels. You will also be shown the conditions that you need to consider in order to accept or reject the null hypothesis.

Introduction

Lower One Tail Test

(1)

Tutorial and Worked Solution to Example (1)

 

Upper One Tail Test

(2)

Worked Solution to Example (2)

 

Critical Values

Quite often we can find the critical value for a given test and also this can be used an alternative method to the above examples 1 and 2 of testing a hypothesis. In fact I generally prefer this method.

In the first of these tutorials on critical values I run through the following example which will illustrate this method.

(3)

Tutorial and Worked Solution to (3)

In this next example you have to calculate the upper critical value.

(4)

Worked Solution to (4)

Two Tailed Test

Two tailed test occur when the alternative hypothesis H₁is that the value of p is not equal to a given value. In cases like this the nominal significance level is halved and applied to each tail to locate the rejection regions.

In this next example I demonstrate this

(5)

Tutorial and Worked Solution to (5)

 

Related Topics:

Binomial Distribution

 

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