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Hypothesis Testing Dr. Nelson K. Bii

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Hypothesis Testing Dr. Nelson K. Bii Hypothesis Testing Dr. Nelson K. Bii 13/08/2021 Institute of Mathematical Sciences, Strathmore University
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Page 1: Hypothesis Testing Dr. Nelson K. Bii

HypothesisTesting

Dr. Nelson K.Bii

Hypothesis Testing

Dr. Nelson K. Bii

13/08/2021

Institute of Mathematical Sciences, Strathmore University

Page 2: Hypothesis Testing Dr. Nelson K. Bii

HypothesisTesting

Dr. Nelson K.Bii

Hypothesis Testing

A hypothesis test is a process that uses sample statisticsto test a claim about the value of a population parameter.e.g if a manufacturer claims that a battery lasts for anaverage 1000 hours, then a sample would be taken to testthis claim.

A verbal statement, or claim, about a populationparameter is called statistical hypothesis.

A pair of hypothesis is stated - one that represents theclaim, and the other, its complement. When one of thesehypotheses is false, the other must be true.

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Types of Hypothesis

Null Hypothesis H0 : - Contains statement of equalitye.g. ≤, =, or ≥Alternative Hypothesis Ha : - Complement of H0. Mustbe true if H0 is false. It contains statement of inequalitye.g. <, 6=, or >.

Note:

To write H0 or Ha, translate the claim made about thepopulation parameter from a verbal statement to amathematical statement.

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Tests of Hypothesis contd...

Example 1:A manufacturer claims that its rechargeable batteries have anaverage life of atleast 1000 charges.

µ ≥ 1000 is a condition of equality.

Write the claim as a mathematical sentence. State H0 andHa. Identify which represents the claim.Solution:

H0 : µ ≥ 1000 (claim)

Ha : µ < 1000

(“ <′′ complement of H0)

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Types of errors

No matter which hypothesis represents the claim, alwaysbegin the hypothesis testassuming that the null hypothesis, H0 is true.

At the end of the test, one of two decisions will be made:

(a) Reject H0 or

(b) Fail to reject H0

Type I error occurs if H0 is rejected when it is true.

Type II error occurs if H0 is not rejected when it is false.

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Types of Errors contd...

Actual Truth of H0

Decision H0 True H0 FalseDo not reject H0 Correct Decision Type II Error

Reject H0 Type I Error Correct Decision

Example 2A certain college claims that 94% of their graduates findemployment within 6 months of graduation. What will a type Ior type II error be?

H0 : p = 0.94 (claim)Ha : p 6= 0.94

Type I error: Population proportion is 0.94 but is rejected,(we believe it is not 0.94).Type II error: Population proportion is not 0.94 but is notrejected, (we believe it is 0.94).

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Dr. Nelson K.Bii

Level of Significance, α

Is the maximum allowable probability of making a type Ierror.

Hypothesis tests are based on α.

Probability of making type II error is denoted by β.

Note: By setting α at a small value, one is saying that he/shewants the probability of rejecting H0 to be small. Commonlyused level of α are α = 0.10, α = 0.05 or α = 0.01.

After stating H0 and Ha and specifying α, a randomsample is taken from the population and sample statisticsare calculated.

The statistic that is compared with the parameter in H0 iscalled the test statistic.

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Test Statistic

Example:

Population Parameter Test Statistic Standardized Test Statistic

µ X̄ Z (n ≥ 30), t (n < 30)p p̂ Zσ2 S2 X̄ 2

Use of Z :

Population is normal (or approx. normal)

n ≥ 30

σ is known

Use of t:

Population is normal (or approx. normal)

n < 30

σ is unknown

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Test of Hypothesis contd...

P-Values:

If H0 is true, a P-value (or probability value) of ahypothesis test is the probability of obtaining a samplestatistic with a value as extreme or more extreme than theone determined from the sample data.

The P-value (or calculated probability) is the estimatedprobability of rejecting the null hypothesis (H0) of a studyquestion when that hypothesis is true.

A smaller P-value means that there is stronger evidence infavor of the alternative hypothesis.

P-value of a hypothesis test depends on the nature of thetest.

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Test of Hypothesis contd...

Types of Tests:

1 Left-tailed test

2 Right-tailed test

3 Two-tailed test.

The type of test depends on the region of samplingdistribution that favours a rejection region of H0. Thisregion is indicated by the Ha.

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Test of Hypothesis contd...

(a) Left-Tailed Test:

Ha contains < sign

H0 : µ ≥ kHa : µ < k

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Test of Hypothesis contd...

(b) Right-Tailed Test:

Ha contains > sign

H0 : µ ≤ kHa : µ > k

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Test of Hypothesis contd...

(c) Two-Tailed Test:

Ha contains 6= sign

H0 : µ = kHa : µ 6= k

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Test of Hypothesis contd...

Identifying Types of Tests:Example 1:For each claim, state H0 and Ha. Then determine whether thehypothesis test is a left-tailed, right-tailed, or two-tailed test.

(a) A cigarette manufacturer claims that less than one-eighthof the Kenyan adult population smokes cigarettes.

H0 : p ≥ 0.125Ha : p < 0.125 (claim) < =⇒ left-tailed test.

(b) A local telephone company claims that the average lengthof a phone call is 8 minutes.

H0 : µ = 8 (claim)Ha : µ 6= 8 = =⇒ two-tailed test.

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Making a Decision

(a) Decision Rule Based on P-value

To use a P-value to make a conclusion in a hypothesistest, compare the P-value with α.

(i) If P ≤ α, then reject H0

(ii) If P > α, then fail to reject H0

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Interpreting a Decision

A hypotheis test is performed for the following claim. Howshould you interpret your decision if you

(a) Reject H0

(b) Fail to reject H0?

Example:H0 : ( Claim ) A cigarette manufacturer claims that less thanan eighth of the Kenyan adult population smokes cigarettes.

(i) If H0 is rejected, you should conclude: “there is sufficientevidence to indicate that the manufacturer’s claim isfalse.”

(ii) If you fail to reject H0, you should conclude: “there is notsufficient evidence to indicate that the manufacturer’sclaim is false.”

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Steps for Hypothesis Testing

1 State the claim (mathematically and verbally). Identify H0

and Ha.

2 Specify α.

3 Determine the standardized sampling distribution anddraw its graph assuming H0 is true.

4 Calculate test statistic and its standardized value. Add itto your sketch.

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Steps for Hypothesis Testing contd...

5 Find the P-value.

6 Use the following decision rule: Is P-value ≤ α ? If yes,Reject H0. If no, fail to reject H0.

7 Write a statement to interpret the decision in the contextof the original claim.Note: These steps apply to left-tailed, right-tailed andtwo-tailed tests.


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