# Hypothesis Testing YouTube Lecture Handouts for Competitive Exams

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Hypothesis Testing YouTube Lecture Handouts

## Hypothesis Testing

Types of Errors & p-Region

## Null Versus Alternative Hypothesis

## Null Hypothesis (H_{0})

No statistical significance between the two variables.

Researcher is trying to disprove it.

Individual is free from disease

Relationship is due to chance

## Alternative Hypothesis (H_{a})

Statistical significance between the two variables.

Researcher is trying to approve it

Individual has disease

Relationship is not due to chance

If is accepted, is rejected

## P-Region

## Errors in Hypothesis

True | |

Decision About
| CORRECT |

Decision About
| Type I Error (α) |

## Type I Error

Reject when its true

α error

Error of first kind

Error of excessive credulity

False positive

Poor specificity

If a test shows that a person has kidney stone when in reality he/she does not

## P-Value

Probability of obtaining an effect at least as extreme as the one in your sample data, assuming the truth of the null hypothesis.

## Errors in Hypothesis

True | False | |

Decision About
| CORRECT | Type II Error |

Decision About
| Type I Error (α) | CORRECT |

## Type II Error

Accept 𝐻_0 when its false

β error

Error of second kind

Error of excessive skepticism

False negative

Low sensitivity

If a test shows that a person is not having kidney stone when in reality he/she does have a kidney stone.

-Manishika