Please use the 5 steps:Step 1: State null & alternate hypothesisStep 2: Select a level of significanceStep 3: Identify the test statisticStep 4: Formulate a decision ruleStep 5: Take a sample to arrive at a decision (Reject or do not reject null hypothesis)Note: please answer 4-5 only WEEK 8 EXERCISES: T-testTest the hypothesis using 5 steps.1. A ten (10) randomly selected groceries in San Francisco has an average salesof 41 Junousand dollars every 6 months from various goods with a standarddeviation of 5.2thousand doll ans enough evidence to conclude that thegroceries are not gan average of 42 thousand dollars (μ) from iousgoody 6 months? Test at 0.05 level of significance. Use one-tailed test.To2. A certain manager wishes to find out if the proposed system of operationsincreases the gross sales of the products of the compared with ng system.compare the results, six branches for each system are y selected forassessment, thet is as follows:Pro systemx₁ = 42.5,S₁= 5.7.Existing systemAverage sales in millionX2 = 32.6Standard deviation:S₂= 4.8No. of branches12- 6Is the proposed system gnificantly better than the visting system? Test ata=0.01(1%) and tailed test.3. Oil wells in large field produce an average of 33.5(µ) bars per day.Afifteen (15) andomly selected oil wells produce an average of 30 (barrels ofcrude of per day with a standard deviation of 3.5 barrels. Is this enough evidenceto conclude that the oil wells are not producing an average of 33.5(µ) barrels ofcade oil per day? Test at a=0.1, level of significance. Use two-tailed test4. In an attempt to compare the performance of students with more than onepersonal electronic gadgets and those with no or only one personal electronicgadget, The mean grade in one term and the standard deviation are shown inthe table:Students with personalelectronic gadgets0-1>1Meanx₁ = 83x₂ = 79StandardDeviationMeanSi=10S₂ = 14X₁ = 83X2 = 79Is there a significant difference in the mean grades of students with one or no personalelectronic gadget and those with more than one personal electronic gadgets? @ a = 0.05and two-tailed test.5. Perform Exercise no. 2, assuming one-tailed test, @a= 0.01 and n₁ = 15.Students with personalelectronic gadgets0-1>1sampleStandardDeviationn₁ = 12m2 =12Si= 10S₂= 14n₁ =15n₂ = 12

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4. In an attempt to compare the performance of students with more than one personal electronic gadgets and those with no or only one personal electronic gadget, The mean grade in one term and the standard deviation are shown in the table: Students with personal electronic gadgets 0-1 >1 Mean x₁ = 83 x₂ = 79 Standard Deviation Si= 10 S₂ = 14 sample n₁ =12 m₂ = 12 Is there a significant difference in the mean grades of students with one or no personal electronic gadget and those with more than one personal electronic gadgets? @ α = 0.05 and two-tailed test.

4. In an attempt to compare the performance of students with more than one personal electronic gadgets and those with no or only one personal electronic gadget, The mean grade in one term and the standard deviation are shown in the table: Students with personal electronic gadgets 0-1 >1 Mean x₁ = 83 x₂ = 79 Standard Deviation Si= 10 S₂ = 14 sample n₁ =12 m₂ = 12 Is there a significant difference in the mean grades of students with one or no personal electronic gadget and those with more than one personal electronic gadgets? @ α = 0.05 and two-tailed test.

MATLAB: An Introduction with Applications

6th Edition

ISBN:9781119256830

Author:Amos Gilat

Publisher:Amos Gilat

Chapter1: Starting With Matlab

Section: Chapter Questions

Problem 1P

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40 people are randomly sent to walk one of four trails. The time (in minutes) they spend completing each trail is recorded in the table below. (a) Test to see if the times needed to complete a trail vary. Use a 0.05 significance level. (b) Test each pair (A/B, A/C, A/D, B/C, B/D, C/D) to see which trails have a statistically significant difference. Indicate your p-value for each comparison, and when the effect is statistically significant (use 0.05 as your significance level), declare which trail of the two takes more time to complete. Trail A - 30, 33, 41, 27, 36, 31, 37, 40, 29, 35 Trail B - 27, 33, 38, 41, 40, 38, 35, 44, 41, 39 Trail C - 25, 34, 41, 39, 32, 30, 36, 35, 27, 33 Trail D - 41, 39, 46, 37, 40, 42, 50, 42, 50, 33, 47, 43
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Follow the 5 steps in hypothesis testing to solve the problem. Show necessary solution. 5 STEPS IN HYPOTHESIS TESTING: Step 1: Null and Alternative Hypothesis Step 2: Statistical Test Step 3: Critical Regions Step 4: Computation Step 5: Decision and Conclusion
Please help. The data is in one of the pics. Thanks so much
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The October 2019 Gallup Poll reported the proportion of Republicans, Independents, and Democrats who favor the legalization of marijuana. Here are the results: Step 1: Test Set-Up Step 2. Select the Level of Significance, α A 5 percent significance level is selected. Step 3. State the Null Hypothesis (H0) and Alternate Hypothesis (H1) H0: H1: Step 4. Compose the Decision Rule Step 5. Calculate the Value of the Test Statistic, p-value, and estimate statistical power (Use G*Power) Use G*Power to calculate statistical power. Use these settings: Test family: z tests Statistical test: Proportion: Difference between two independent proportions Type of power analysis: Post hoc: Compute achieved power – given α, sample size and effect size Step 6. Decide and Report
A study of seat belt users and nonusers yielded the randomly selected sample data summarized in the accompanying table. Use a 0.05 significance level to test the claim that the amount of smoking is independent of seat belt use. A plausible theory is that people who smoke are less concerned about their health and safety and are therefore less inclined to wear seat belts, Is this theory supported by the sample data? BB Click the icon to view the data table. Determine the null and alternative hypotheses. O A. Ho: The amount of smoking is dependent upon seat belt use. H₁: The amount of smoking is not dependent upon seat belt use. O B. Ho: Heavy smokers are not less likely than non-smokers to wear a seat belt. H₁: Heavy smokers are less likely than non-smokers to wear a seat belt. OC, Ho: Heavy smokers are less likely than non-smokers to wear a seat belt. H₁: Heavy smokers are not less likely than non-smokers to wear a seat belt. O D. Ho: The amount of smoking is independent of seat belt…