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Directions: Using the provided data below perform a Paired-Samples t-Test and identify whether the null hypothesis should be rejected or not. Fill out the table below in accomplishing your calculations. Explain step-by-step Null hypothesis: There is no difference in driving performance across the different situations — H0: µ1 = µ2 = µ3. Research hypothesis: There is a difference in driving performance across the different situations — H1: µ1 ≠ µ2 ≠ µ3. No Phone (Situation 1): 4,3,6,3,4 Using Hand-Held Phone (Situation 2): 0,1,3,1,0 Using Hands-Free Phone (Situation 3): 1,2,2,0,0

Directions: Using the provided data below perform a Paired-Samples t-Test and identify whether the null hypothesis should be rejected or not. Fill out the table below in accomplishing your calculations. Explain step-by-step Null hypothesis: There is no difference in driving performance across the different situations — H0: µ1 = µ2 = µ3. Research hypothesis: There is a difference in driving performance across the different situations — H1: µ1 ≠ µ2 ≠ µ3. No Phone (Situation 1): 4,3,6,3,4 Using Hand-Held Phone (Situation 2): 0,1,3,1,0 Using Hands-Free Phone (Situation 3): 1,2,2,0,0

Algebra & Trigonometry with Analytic Geometry
Algebra & Trigonometry with Analytic Geometry
13th Edition
ISBN:9781133382119
Author:Swokowski
Publisher:Swokowski
Chapter2: Equations And Inequalities
Section2.1: Equations
Problem 50E
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Directions: Using the provided data below perform a Paired-Samples t-Test and identify whether the null hypothesis should be rejected or not. Fill out the table below in accomplishing your calculations. Explain step-by-step

Null hypothesis: There is no difference in driving performance across the different situations — H0: µ1 = µ2 = µ3.

Research hypothesis: There is a difference in driving performance across the different situations — H1: µ1 ≠ µ2 ≠ µ3.

No Phone (Situation 1): 4,3,6,3,4

Using Hand-Held Phone (Situation 2): 0,1,3,1,0

Using Hands-Free Phone (Situation 3): 1,2,2,0,0

SSwithin = SSbetween SStotal = dfwithin = dfbetween = dftotal = MSbetween MSwithin F = Significant Values (p=0.05) = 3.88 Conclusion:
Transcribed Image Text:SSwithin = SSbetween SStotal = dfwithin = dfbetween = dftotal = MSbetween MSwithin F = Significant Values (p=0.05) = 3.88 Conclusion:
Treatment 1 Treatment 2 Treatment 3 4 1 3 1 2 3 2 3 1 4 T = 2. T, = 3 1 M= M,= 3. SS = SS 3
Transcribed Image Text:Treatment 1 Treatment 2 Treatment 3 4 1 3 1 2 3 2 3 1 4 T = 2. T, = 3 1 M= M,= 3. SS = SS 3
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