Choose the conclusion of this test using a 5 % significance level.O Reject H. The model is effective.O Do not reject Ho. We did not find evidence that the model is effective.O Reject Ho. The model is not effective.O Do not reject Hg. We did not find evidence that the model is not effective.eTextbook and MediaHintSave for LaterAttempts: 0 of 3Type here to searchо ТуреPrtScnF8DIIF5F7F6F4 * 00T%24Choose the conclusion of this test using a 5 % significance level.O Reject Ho. The model is effective.O Do not reject Ho. We did not find evidence that the model is effective.O Reject Ho. The model is not effective.O Do not reject Ho. We did not find evidence that the model is not effective.eTextbook and MediaHintAttempts: 0 of 3Save for LaterType here to searchH五0PrtScn.HomeA F3F4F5F1F22345.6.3.R.

Answered: Choose the conclusion of this 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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Does buying CDs depend on whether you own a smartphone or not? A survey asks a group of students if they buy CDs or not. It also asks if the students own a smartphone or not. The data are recorded in the contingency table below, and a chi-square Test of Independence at the 5% significance level is performed. SmartphoneNo SmartphoneColumn TotalCDs12.269.81622No CDs17.82414.2832Row Total302454 (a) The null and alternative hypotheses are: H0: The two variables are independent, so owning a smartphone does not affect buying CDs. Ha: The two variables are dependent, so owning a smartphone does affect buying CDs. (b) χ20=11.9 (c) Determine the critical value using the following portion of the χ2-table. df1234χ20.102.7064.6056.2517.779χ20.053.8415.9917.8159.488χ20.0255.0247.3789.34811.143χ20.016.6359.21011.34513.277χ20.0057.87910.59712.83814.860
In 2005, Health Canada claimed that 16.9% of Canadian adults are obese. A researcher wanted to check whether this percentage has changed in 2009. In 2009, he randomly selected 90 Canadian adults and found 12 of them are obese. Use a 7% significance level. The decision rule is either Reject Ho if Zcalc > 1.48 Reject Ho if Zcalc > 1.81 Reject H0 if Zcalc < -1.81 or Zcalc > 1.81 Reject H0 if Zcalc < -1.48 or Zcalc > 1.48
A survey was conducted to determine whether hours of sleep per night are independent of age. A sample of individuals was asked to indicate the number of hours of sleep per night with categorical options: fewer than 6 hours, 6 to 6.9 hours, 7 to 7.9 hours, and 8 hours or more. Later in the survey, the individuals were asked to indicate their age with categorical options: age 39 or younger and age 40 or older. Sample data follow. Age Group Hours of Sleep 39 or younger 40 or older Fewer than 6 38 36 6 to 6.9 60 57 7 to 7.9 76 74 8 or more 66 93 (a) Conduct a test of independence to determine whether hours of sleep are independent of age. (b) What is your estimate of the percentages of individuals who sleep fewer than 6 hours, 6 to 6.9 hours, 7 to 7.9 hours, and 8 hours or more per night?
Magazine A national publishing house claims that 28% of all weekly magazine readers in SA read their publication. Test this claim at the 1% significance level, if a survey found that 104 out of a random sample of 400 magazine readers said that they read the specific publication.
A survey asked students for their college and their satisfaction with their program. The results are provided in the tables below. Determine if there is a relationship between college and satisfaction at the 0.05 level of significance. Satisfied Not Satisfied Arts and Sciences 5 2 Education 6 1 Technology 14 12 Business 18 12 Health Profession 10 4 Social and Behavioral Sciences 8 12 H0: College and Satisfaction are independent. H1 : College and Satisfaction are dependent. Determine the p-value. What is the correct decision for this test? What is your conclusion, in context? Explain your reasoning.
What if a significance level of 0.01 was used instead? Would your decision and conclusion change? State the decision and conclusion based on this new significance level in two complete sentences.
Passed Failed White Results from a civil servant exam are shown in the table to the right. Is there sufficient evidence to support the claim that the results from the test are discriminatory? Use a 0.05 significance level. 20 17 candidates Minority candidates 8 22 O A. Ho: Awhite candidate is not more likely to pass the test than a minority candidate. H,: A white candidate is more likely to pass the test than a minority candidate. B. Ho: White and minority candidates do not have the same chance of passing the test. H,: White and minority candidates have the same chance of passing the test. O C. Ho: Awhite candidate is more likely to pass the test than a minority candidate. H,:A white candidate is not more likely to pass the test than a minority candidate. O D. Ho: White and minority candidates have the same chance of passing the test. H4: White and minority candidates do not have the same chance of passing the test. Determine the test statistic. x? = (Round to three decimal places as…
The table below lists body temperatures obtained randomly selected subjects. The temperatures are categorized according to gender and whether the subject uses drug. Using a 0.05 significance level, test for an interaction between gender and usage of drug, test for an effect from gender, and test for an effect from usage of drug. What do you conclude? Use Drug Does Not Use Drug Male 98.4 97.4 96.8 98.2 98.4 97.4 97.4 98.0 Female 98.6 99.3 98.2 98.6 97.0 98.4 97.2 98.7
A scientist is studying the effect of a new type of exercise program on cardiovascular health. The scientist randomly assigns individuals to either the exercise program or a control group. The scientist wants to determine if the exercise program has a statistically significant effect on cardiovascular health. The scientist monitors cardiovascular health by measuring the blood pressure of each individual. The type of program the individual experienced is which of the following? (Select all that apply) The Explanatory Variable Ordinal The Response Variable Categorical Binary Quantitative Categorical
Q) A doctor wants to try three different techniques to investigate the blood pressure of people diagnosed with high blood pressure. The first group of subjects takes medication, the second group does exercises, and the third group follows a special diet. A month later, the reduction in each person's blood pressure is recorded. At 5% significance level, test the claim that there is no difference among the means. The data are shown. Medication Exercise Diet 10 5 12 8. 9. 9. 3 12 15 8. 13 2 4
A large manufacturing company claims that less than 10% of its customers make a complaint about the company’s products. Test this claim at the 10% significance level, if a survey found that 29 out of a random sample of 320 of the company’s customers made a complaint about the company’s products.
California Department of Education deems a student to be prepared for college if she scores higher than a certain score on the SAT A survey was conducted looking at 651 students' SAT scores and it was found that 573 students were considered to be prepared for college. Use a 0.10 significance level to test the claim that the proportion of students prepared for college is equal to 80%. Claim: Select an answer v which corresponds to Select an answer v Opposite: Select an answer v which corresponds to Select an answer v The test is: Select an answer v The test statistic is: (to 2 decimals) The p-value is: (to 4 decimals) Based on this we: Select an answer Conclusion There Select an answer v appear to be enough evidence to support the claim that the proportion of students prepared for college is equal to 80%.

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