For each of the following sets of results, compute the appropriate test statistic, test the indicated alternative hypothesis, and compute the effects size(s) indicating their magnitude: set hypothesis Ho a a) 49.7 50 3.8 33 0.05 b) u > Ho 40.3 40.1 7.4 36 0.15 c) Orl > ri 34.3 32 47 0.10 9.6 a) Compute the appropriate test statistic(s) to make a decision about Ho. critical value = Decision: ---Select--- ; test statistic =| Compute the corresponding effect size(s) and indicate magnitude(s). d = ; --Select--- b) Compute the appropriate test statistic(s) to make a decision about Ho- critical value = ]; test statistic = | Decision: ---Select--- Compute the corresponding effect size(s) and indicate magnitude(s). --Select--- d = c) Compute the appropriate test statistic(s) to make a decision about Ho- critical value = [ Decision: -Select--- l; test statistic = Compute the corresponding effect size(s) and indicate magnitude(s). Activate W 1 : -Select-- d =

For each of the following sets of results, compute the appropriate test statistic, test the indicated alternative hypothesis, and compute the effects size(s) indicating their magnitude: set hypothesis Ho a a) 49.7 50 3.8 33 0.05 b) u > Ho 40.3 40.1 7.4 36 0.15 c) Orl > ri 34.3 32 47 0.10 9.6 a) Compute the appropriate test statistic(s) to make a decision about Ho. critical value = Decision: ---Select--- ; test statistic =| Compute the corresponding effect size(s) and indicate magnitude(s). d = ; --Select--- b) Compute the appropriate test statistic(s) to make a decision about Ho- critical value = ]; test statistic = | Decision: ---Select--- Compute the corresponding effect size(s) and indicate magnitude(s). --Select--- d = c) Compute the appropriate test statistic(s) to make a decision about Ho- critical value = [ Decision: -Select--- l; test statistic = Compute the corresponding effect size(s) and indicate magnitude(s). Activate W 1 : -Select-- d =

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

Recently, the annual number of driver deaths per 100,000 for the selected age groups was as follows: Age Number of Driver Deaths per 100,000 16–19 38 20–24 36 25–34 24 35–54 20 55–74 18 75+ 28 Use the 4 steps of hypothesis testing to see if the prediction is significant with a criteria of alpha=.05 on the following data For each age group, pick the midpoint of the interval for the X value. (For the 75+ group, use 80.)
An electrical engineer wishes to determine if, among two specific municipal buildings in town, Building “North” and Building “South”, whether the tensile strength of pipes (in psi) is not the same in each of these two buildings. A sample of pipes was chosen at random from both Building “North” and Building “South”, respectively. Using α = 0.05, which of the following statistical test, or parameter, would be best for determining whether tensile strength of pipes (in psi) is not the same in each of these two buildings? (Assume all statistical assumptions met.) a) Binomial Distribution b) Population Difference in Means (i.e., Unpaired Data) c) The Chi-Squared Test of Independence d) Population Mean Difference (i.e., Paired Data)
a. Assuming for the moment that all coefficients are significant, please interpret the coefficients of the four independent variables in the BIG b. To determine which of the two models above is statistically superior at the .10 level, please calculate the appropriate F‐statistic.
The NAEP considers that a national average of 283 is an acceptable performance. Using α = .05, run a two-tail t-test for one sample to test Ho: µ=283 for the 2019 scores. Report the t-obt, df, and p-values. Would you reject the null hypothesis that the 2019 scores come from a population with average 283? If this is the case, does it come from a population from larger or smaller average?
A consumer group is investigating a producer of diet meals to examine if its prepackaged meals actually contain the advertised 6 ounces of protein in each package. Assume the weights of all the prepackaged meals are normally distributed. Based on the following data, is there any evidence that the meals do not contain the advertised amount of protein? Run the appropriate test at a 5% level of significance. A. What are the appropriate hypotheses? B. What is the critical value(s) of the test? C. What is the test statistic? D. What is the decision rule using the critical values? E. What is the p-value of the test? G. What is your decision?
Amateur triathletes who competed in the 2019 Lake Placid Ironman were classified by age and satisfaction with the race course with the following results: 18 to 34 35 to 49 50 to 79 Satisfied 570 755 165 Dissatisfied 120 140 118 Do these data provide sufficient evidence at the 0.05 level of significance to conclude that age and satisfaction are independent? Use the Critical Value Method of Testing. In your work space below, you will need to have -1. The null hypothesis, Ho 2. The alternative hypothesis, H1 3. The expected frequencies for each table value 4. The test statistic 5. The critical value 6. The decision to accept Ho or reject Ho
A consumer group is investigating a producer of diet meals to examine if its prepackaged meals actually contain the advertised 6 ounces of protein in each package. Based on the following data, is there any evidence that the meals do not contain the advertised amount of protein? Run the appropriate test at a 5% level of
(1) Conduct a hypothesis test, at the 5% level of significance, to determine whether ? is significant (2) What would be the growth of the plant if 4g of fertilizer and 7g of ater was given to it daily? (3) Carry out an F -test at the 1% significance level to determine whether the model is significant
A nationwide study of undergraduate students reported that the mean number of drinks consumed per week during the spring semester is 7.96. The mean number of drinks consumed per week at USC is 7.64 (s.d.=2.55, N=412 Health services is concerned that USC students are consuming significantly more alcohol per week than the national average. Using an alpha level of .05, Is there sufficient evidence to be concerned? Be sure to select the correct critical value for the alternative hypothesis, and then use this evidence to make your conclusion
Suppose a researcher is interested inthe effectiveness in a new childhood exercise program implemented in a SRS of schools across a particular county. In order to test the hypothesis that the new program decreases BMI (Kg/m2), the researcher takes a SRS of children from schools where the program is employed and a SRS from schools that do not employ the program and compares the results. Assume the following table represents the SRSs of students and their BMIs. Student intervention group BMI (kg/m2) Student control group BMI (kg/m2) A 18.6 A 21.6 B 18.2 B 18.9 C 19.5 C 19.4 D 18.9 D 22.6 E 24.1 F 23.6 A) Assuming that all the necessary conditions are met (normality, independence, etc.) carry out the appropriate statistical test to determine if the new exercise program is effective. Use an alpha level of 0.05. Do not assume equal variances.B) Construct a 95% confidence interval about your estimate for the average difference in BMI between the groups.
Consider the following measurements of blood hemoglobin concentrations (in g/dL) from three human populations at different geographic locations: population1 = [ 14.7 , 15.22, 15.28, 16.58, 15.10 ] population2 = [ 15.66, 15.91, 14.41, 14.73, 15.09] population3 = [ 17.12, 16.42, 16.43, 17.33] What is the standard error of the difference between the means of population 1 and population 2, needed to calculate the Tukey-Kramer q-statistic? What is the Tukey-Kramer q-statistic for populations 1 and 2? (Report the absolute value, if you get a negative number, multiply by -1)
Dr. Romanoff reported the following in a journal: “F (5, 106) = 10.09, p = .04.” Should Dr. Romanoff state that there are significant differences among the variable means at a .05 alpha level?