6. What value is the degree of freedom?7. Given the desired confidence level, what alpha should be used?8. What is the P value equal to for this test?9. According to the P value, what is the mean difference statistically significant?10. Based on the rules, can you reject the null hypothesis?11. Should you order maintenance repair? Case 1: Machine MaintenanceA cereal company wants to make sure the machine used to fill boxes of cereal is workingproperly. The machine is supposed to fill each box with 18 ounces of cereal. To test themachine's accuracy, you sampled the weight of 40 boxes of cereal. To determine if themachine needs maintenance, you conduct a one-sample t-test (see results in K2:M7). If theaverage weight statistically differs from 18 ounces, you will order a maintenance repair. Butbecause the repair can be costly and because there are potential punitive costs for notselling food products at the advertised weight, you want to be 95% confident in the results.t-Test: One-SampleMean (weight)18.4Variance0.9Observationst-statistic402.67P(t T) two-tail0.011 What value is the Degrees of Freedom?Given the desired confidence level, what alpha should be used?What is the p-value equal to for this this test?According to the p-value, is the mean difference statistically significant?16[select]17[select]18[select]196.[select]Based on the results, can you reject the null hypothesis (H,)?Should you order maintenance repair?2010[select]2111[select]22

Test is that whether the average weight statistically differs from 18 ounces. NOTE : According to…

Answered: What value is the degree of freedom? 7.…

What value is the degree of freedom? 7. Given the desired confidence level, what alpha should be used? 8. What is the P value equal to for 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

See similar textbooks

Similar questions

The critical value in a hypothesis test Multiple Choice depends on the value of the test statistic. is calculated from the sample data. separates the acceptance and rejection regions. usually is .05 or .01 in most statistical tests.
. nonzerorands expects 3 arguments The average American consumes 100 liters of alcohol per year. Does the average college student consume a different amount of alcohol per year? A researcher surveyed 15 randomly selected college students and found that they averaged 86 liters of alcohol consumed per year with a standard deviation of 16 liters. What can be concluded at the the a = 0.05 level of significance? a. For this study, we should use t-test for a population mean b. The null and alternative hypotheses would be: Ho: μν H₁: 100 100 E -3.389 (please show your answer to 3 decimal places.) (Please show your answer to 4 decimal places.) c. The test statistic t d. The p-value = e. The p-value is > ✓ a f. Based on this, we should fail to reject g. Thus, the final conclusion is that ... the null hypothesis. O The data suggest the populaton mean is significantly different from 100 at a = 0.05, so there is statistically significant evidence to conclude that the population mean amount of…
Thanks
K The display provided from technology available below results from using data for a smartphone carrier's data speeds at airports to test the claim that they are from a population having a mean less than 5.00 Mbps. Conduct the hypothesis test using these results. Use a 0.05 significance level. Identify the null and alternative hypotheses, test statistic, P-value, and state the final conclusion that addresses the original claim. Click the icon to view the display from technology. D iew an example Get more help. 42 W S Assuming all conditions for conducting a hypothesis test are met, what are the null and alternative hypotheses? OA. Ho: 5.00 Mbps J D. Ho: -5.00 Mbps H₁: - Clear all : - ; X option F11 { [ ? + = 1 I Check answer F12 } ] delete retu
6. What value is the degrees of freedom? 7. Given the desired confidence level, what alpha should be used? 8. What is the P value equal to for this test? 9. According to the P value, is the main difference statistically significant? 10. Based on the results, can you reject the null hypothesis? 11. Is the entire staff operating at a good level?
Discuss the difference between the 95% and 99% confidence levels. What are the corresponding alpha levels and how confident is the researcher in the results? Edit View Insert Format Table 12pt ✓ | P ▸ Paragraph B IU A ✓T²✓ 岬くく描く To B √x www 11 ✓
Identify test statistic Identify P value Identify a conclusion Fail to reject H0... Reject H0....
How is the sample size related to the margin of error and confidence level? What isthe impact of S.D. on sample size? Comments with justification. Also fill in theblanks showing necessary calculations in each case: Margin of error S .D. Confidence Level Sample Size 0.4274 5.33 95% ________ 0.8548. 4.79 ___________. 209 0.7948 ______ 90% 249 0.2129 5.79 __________. 2841 __________. 2.54 90% 3720
See attached
Match to the appropriate answer. You will not use all options and you may not use each option more than once. Dummy variable Coefficient (beta) Correlation coefficient Heteroscedasticity p-value R² + Residual A. Used with categorical variable B. Lower value means statistical significance at a higher confidence level. C. When the distribution of residuals does change as the independent variable changes. D. Higher value means statistical significance at a higher confidence level. E. Difference between the predicted and observed values. F. When the distribution of residuals does not change as the independent variable changes. G. Min=-1, Max=1 H. Min-0, Max=1 1. Used to determine how much dependent variables changes if independent variable changed.
Researchers studied the mean egg length (in millimeters) for a bird population. After taking a random sample of eggs, they obtained a 95% confidence interval of (45,60). What is the value of the margin of error? Choose the correct answer below. A. 15 mm B. 52.5 mm O c. 7.5 mm O D. 1.96
When are conclusions said to be "statistically significant"? Choose the correct answer below. O A. When neither a Type I Error nor a Type II Error have been made O B. When the p-value is greater than a given significance level OC. When the p-value is less than a given significance level O D. When the power is high O E. When the significance level is 0.05 or less