# 20 not specified and select our self always choose 20

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20% (not specified and select our self (always choose 20%)) 7. Determine Sample Size: Make assumption of sample size (any value) Downloaded by:: bryce0736 | [email protected] Distribution of this document is illegal

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Stuvia.com - The study-notes marketplace 8. Select Appropriate Hypothesis Test: Univariate (when in doubt go with univariate) 9. Test the assumptions: Testing differences; Bell shape symmetrical; Use process Flow Charts; 10. Run the Appropriate Hypothesis Test: Finding that p value = 0,02 11. Interpret the Statistical Finding: [If p is low Ho must go] Therefore 0,02 ¿ 0,05 therefore reject Ho and accept Ha. The average monthly income is less than \$180 [ μ < 180 → problem ¿ 12. Interpret the Practical Results: The monthly income will be less than \$180 therefore must not invest 13. Write Conclusion: The monthly income will be less than \$180 therefore must not invest, will give us problems. ANSWER: 1. Practical problem: Alison wants to be paid more because it takes her longer to complete her route on average (believes she is doing more work than her brother because it takes more time, therefore should be paid more) 2. Statistical Problem: a. Dependent variable = Average Delivery Time Use the Statistical analysis road map for step 8, 9 & 10 Downloaded by:: bryce0736 | [email protected] Distribution of this document is illegal
Stuvia.com - The study-notes marketplace b. Independent variable = Person (Alison and James) c. Measuring the average (mean) time d. If there is a difference between Alison’s time and her brothers time. 3. Null Hypothesis [Ho]: Alison’s average time for delivery = James’ average time for delivery [ μ Alison = μ James ] 4. Alternative Hypothesis [Ha]: Alison on average takes longer to deliver paper than James [ μ Alison > μ James ¿ 5. Select Alpha: 5% 6. Select Beta: 20% 7. Determine Sample Size: Alison = 11; James = 12 [n=11; n=12] 8. Select Appropriate Hypothesis Test: Univariate (when in doubt go with univariate) 9. Test the assumptions: Testing differences 10. Run the Appropriate Hypothesis Test: Both James and Alison are normally distributed therefore go to the right; 2 levels of X; not paired; test equal variances (standard deviation is square route of variance); 2 sample t-test; therefore p value = 0.39 11. Interpret the Statistical Finding: [If p is low Ho must go] Therefore 0,05 ¿ 0,39 therefore accept Ho and reject Ha. Alison is lying [ μ Alison = μ James ] 12. Interpret the Practical Results: Alison on average equals James time therefore should not be paid more for her time. 13. Write Conclusion: Alison should not be paid more. EPHASIS ON: What does it mean if we test differences? Ratios or relationships o Relationships: if x changes how does y change o You can test the two population averages o All about the input and output data o Dependent variable: changes as the independent variable changes o Output (independent) variable: its an input with the test that you determine o Look at the differences between the input and output variable o Continuous or discrete data P value = significant level (sig) I want to test if class attendance influences test mark o

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