earch$f4SA101A high school principal wanted to know if there was a difference in absences for 9th grade, 10thgrade, 11th grade, or 12th grade among students with less than a 2.0 GPA. She took a randomsample of n = 5 students from each grade and compared absences among the four grades usingANOVA. The data are below:9th grade 10th grade 11th grade6f59%67台南。7510f6121114443610f7172. Calculate the degrees of freedom Between Groups (dfBG)3. Calculate the degrees of freedom Within Group (dfwg)4. Calculate the Sum of Squares total (SStot)5. Calculate the Sum of Squares Between Groups (SSBG)6. Calculate Sum of Squares Within Groups (SSWG)7. Calculate Mean Square Between Group (MSBG)8. Calculate Mean Square Within Group (MSwG)9. Calculate the F statistic10. Using the table in the back of the book, find the critical value for F (Ferit) with a = .0511. Calculate the Tukey HSD (using a = .05)12. Which of the following is the appropriate statistical conclusion?&59811147#AVG630B12th gradefg*MW159161212128CROhpfgKA(9f10► 11OWf11DA▷sf12+11insEprt sc

A high school principal wanted to know if there was a difference in absences for 9th grade, 10th grade, 11th grade, or 12th grade among students with less than a 2.0 GPA. She took a random sample of n = 5 students from each grade and compared absences among the four grades using ANOVA. The data are below: 9th grade 10th grade 11th grade 12th grade 6 9 6 7 7 10 12 11 11 14 17 8 11 14 15 15 16 12 12 12 2. Calculate the degrees of freedom Between Groups (dfBG) 3. Calculate the degrees of freedom Within Group (dfwG) 4. Calculate the Sum of Squares total (SStot) As 2

A high school principal wanted to know if there was a difference in absences for 9th grade, 10th grade, 11th grade, or 12th grade among students with less than a 2.0 GPA. She took a random sample of n = 5 students from each grade and compared absences among the four grades using ANOVA. The data are below: 9th grade 10th grade 11th grade 12th grade 6 9 6 7 7 10 12 11 11 14 17 8 11 14 15 15 16 12 12 12 2. Calculate the degrees of freedom Between Groups (dfBG) 3. Calculate the degrees of freedom Within Group (dfwG) 4. Calculate the Sum of Squares total (SStot) As 2

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

An epidemiologist found five cases of “big toe cancer” in the Yukon Territory. Because there were only a few cases, the epidemiologist decided to conduct a matched case-control study to determine whether shoe size larger than 9 is a risk factor for big toe cancer. Cases were individually matched to one control for daily activity, history of athlete’s foot, and history of ingrown toenails. The following data were gathered: Shoe size > 9 Pair Case Control 1 Yes No 2 No No 3 No Yes 4 Yes Yes 5 No Yes Compute the proper measure of association. Interpret your results. If you were to investigate a rare cancer in Lynchburg, where might you look for data? What would be necessary legally and ethically to be able to utilize this data set(s)? Submit your thread by 11:59 p.m. (ET) on Thursday of Module/Week 3, and submit your replies by 11:59 p.m. (ET) on Sunday of the same module/week. 1
A hypothesis regarding the weight of newborn infants at a community hospital is that the mean is 6.6 pounds. A sample of seven infants is randomly selected and their weights at birth are recorded as 9.0, 7.3, 6.0, 8.8, 6.8, 8.4, and 6.6 pounds. What is the decision for a statistical significant change in average weights at birth at the 5% level of significance? Select one: a.Reject the null hypothesis and conclude the mean is higher than 6.6 Ib. b.Fail to reject the null hypothesis and conclude the mean is 6.6 lb. c.Reject the null hypothesis and conclude the mean is lower than 6.6 lb. d.Cannot calculate because population standard deviation is unknown.
The Ahmadi Corporation wants to increase the productivity of its line workers. Four different programs have been suggested to help increase productivity. Twenty employees, making up a sample, have been randomly assigned to one of the four programs and their output for a day's work has been recorded. You are given the results below. At 95% confidence, conduct the ANOVA test to determine whether there is a significant difference in the mean output under the four programs. Program A Program B Program C Program D 150 150 185 175 130 120 120 135 180 160 145 110 Part of the ANOVA table is shown below. Source of Variation Sum of Squares 8,750 Between Groups Within Groups 16,350 Total 220 190 180 175 d.f. 19 150 120 130 175 Mean Square
In a random sample of missions flown by B-17’s, 38 returned and 24 were lost. In a random sample of missions flown by B-29’s, 39 returned and 8 were lost. Use a 0.01 significance level to test the claim that the proportions of losses for B-17’s and B-29’s were equal.
A high school principal wanted to know if there was a difference in absences for 9th grade, 10th grade, 11th grade, or 12th grade among students with less than a 2.0 GPA. She took a random sample of n = 5 students from each grade and compared absences among the four grades using ANOVA. The data are below:
Suppose a researcher studied sleeping patterns in second-, fourth-, and sixth-grade children, and there were 7 students in each group, showing sleep periods in minutes below. Grade 2nd 4th 6th 580 525 562 570 575 532 594 497 565 543 478 537 552 517 525 506 455 493 537 532 490 Mean minutes participants slept 562.57 527.00 505.43 Suppose the researcher found significant ANOVA test result: the observed F statistic is 7.14 at alpha= .05 level, and the researcher made the decision to reject the null hypothesis. Finish up the ANOVA test with your interpretation in terms of the research question (you do not need to perform the test, just provide interpretation based the information available). Your interpretation: Given MSerror= 41, conduct the Tukey’s HSD post-hoc test to determine which groups differed significantly from one another. Include your calculation work, and show each comparison and state the outcome of each…
A variety of variables were measured for all tornadoes in the United States in 2017. (a) Since 1950, the proportion of tornadoes that have been F0 is 0.465. Test whether a different proportion of F0 tornadoes occur in Texas than nationally. Note: Treat the tornadoes that struck in Texas as a simple random sample of all tornadoes that struck Texas since 1950 using a 0.05 level of significance. The summarized data show that 82 of 168 tornadoes in Texas were F0 during 2017. State the null and alternative hypotheses. Họ: H1: (Type integers or decimals. Do not round.) Because the data is treated as a simple random sample; npo(1- Po) V10: and the sample size n is less than 5% of the population size, we may the normal model to test the hypothesis. The P-value is. (Type integers or decimals rounded to four decimal places as needed.) If we obtained 100 independent random samples of size 168 from the state of Texas, we would expect (Type integers or decimals rounded to three decimal places as…
The service manager of a car dealer wants to determine if owners of new cars (two years old or less) tune up their cars more frequently than owners of older cars (more than two years old). From his records he takes a random sample of ten new cars and ten older cars and determines the number of times the cars were tuned up in the last 12 months. The data follow. Do these data allow the service station owner to infer at the 10% significance level that new car owners tune up their cars more frequently than older car owners? Use the table to answer the following questions 2.What is the critical Value 3.What is the test statistic
A hypertension trial is mounted and 12 participants are randomly assigned to receive either a new treatment or a placebo. Each participant takes the assigned medication and their systolic blood pressure (SBP) is recorded after 6 months on the assigned treatment. The data are as follows. Placebo New Treatment 132 114 143 119 148 121 144 124 155 126 160 128 Is there a difference in mean SBP between treatments? Run the test at a 5% level of significance. Give each of the following to receive full credit : 1) the appropriate null and alternative hypotheses; 2) the appropriate test; 3) the decision rule; 4) the calculation of the test statistic ; and 5) your conclusion including a comparison to alpha or the critical value. You MUST show your work to receive full credit. Partial credit is available.
A consumer magazine wants to compare the lifetimes of ballpoint pens of three different brands (measured in days). The magazine takes a random sample of pens of each type in the following table. What is the correct test statistic? Brand 1 Brand 2 Brand 3 382 181 238 242 140 257 216 162 241 319 218 213 a. F (2, 9) = 5.54 b.r = -.34 c. t (11) = 12.16 d.p = .027
The Ahmadi Corporation wants to increase the productivity of its line workers. Four different programs have been suggested to help increase productivity. Twenty employees, making up a sample, have been randomly assigned to one of the four programs and their output for a day's work has been recorded. You are given the results below. At 95% confidence, conduct the ANOVA test to determine whether there is a significant difference in the mean output under the four programs. Program A Program B Program C Program D 150 150 185 175 130 120 120 135 180 160 145 110 Part of the ANOVA table is shown below. Source of Variation Sum of Squares 8,750 Between Groups Within Groups 16,350 Total 220 190 180 175 d.f. 19 150 120 130 175 Mean Square
Suppose an instructor would like to know if there is difference in the performance of her two courses of 560 students each. She proceeds to take a random sample of size 50 from each independent class and was able to establish the following results: mean SD Class 1 86 17 Class 2 78 15 Is there a significant difference between the two classes at a significance level of five percent?