7. Which test should be used to statistically analyze a between-subjects design with three levels of theindependent variable?a. Single sample t testb. Correlationc. One-way ANOVAd. Independent samples t test8. What is the g value if the dfe is 4 and the dfwe is 15?a. 4.08b. 4.373.06с.d. 2.909. Aanalysis of variance. It allows us to make multiple comparisons among several means.is a statistical procedure frequently carried out after we reject the null hypothesis in anNull hypothesisb. One-way ANOVAPost hoca.с.d. Type 1 errorTrue - False: Circle the correct answer (1 point each)10.At least one pair of means must be significantly different to obtain a significant F.T F11.T FThe F test will indicate which means significantly differ from one another.12.T FF is the ratio of the mean square between divided by the mean square total.13.T FPost hoc must always be computed following the F test.14.T FOmega Squared is more conservative than Eta Squared.15. A computed HSD value is 3.4. Calculate which comparisons are significant- list all comparisons and statewhether or not they are significant- show all your work (1 point).Group A = 2.5Group B= 7.6Group C= 1116. Complete the following illustration of the partitioning of variability in a one-way ANOVA (2 points)Total VariabilityPage 2 of 7

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7. Which test should be used to statistically analyze a between-subjects design with three levels of the independent variable? a. Single sample t test b. Correlation c. One-way ANOVA d. Independent samples t test

7. Which test should be used to statistically analyze a between-subjects design with three levels of the independent variable? a. Single sample t test b. Correlation c. One-way ANOVA d. Independent samples t 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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2. What is the standard deviation of the scale scores for each district? Using the information from the following scenario, conduct a one-way ANOVA and specify the Assignment 5: Analysis of Variance and Post UWA Học Tests Directions LSD post hoc test. Scenario The superintendent is continuing to examine the data that has been reported for the diekiet me her question concerned the differences in performance on high stakes tests. To examine thic is sue the superintendent obtained the average scale scores for schools that participated in the high stakes testing for the district and two comparison districts. The following scores were collected: Superintendent's District Comparison District 1 Comparison District 2 332 324 324 317 307 307 320 277 277 344 333 333 314 300 300 330 302 302 291 320 320 302 291 291 286 296 296 318 327 327 320 304 304 327 277 277 283 284 284 322 276 276 Questions 1. What is the mean scale score for each district? Superintendent's District Page 1 of 2
Post a clear statement of the results of the most appropriate statistical analysis and the scientific meaning of that result. be sure to report the type of test used, the test statistic, the degrees of freedom, and the p-value. How does diet affect R. bromii concentrations? Plant-based Control -1.22 -2.38 3.61 0.12 -1.17 -1.60 47.82 0.66 1.33 0.54 0.45 -0.08 -0.06 -0.17 5.97 0.49 -0.35 -1.29 1.28 0.00 -1.33 -2.79 65.44 0.88 2.11 0.24 -0.09 -0.36 80.21 1.01 0.56 -0.09 0.02 -0.38 1.01 0.27 0.48 0.01 48.99 0.72
3. If the owner of a gasoline station wants to study gasoline purchasing habits by motorists at his station. A random sample of 30 motorists during a certain week is selected, with the following results:Amount purchased ? = 11.3 gallons, s = 3.1 gallons10 motorists purchased premium grade gasolineAt the 0.10 level of significance, is there evidence that the mean purchase is different from 10 gallons?At the 0.10 level of significance, is there evidence that fewer than 40% of the motorists purchase premium grade gasoline?
i) An experiment was conducted to compare people's reaction time in seconds to a red light versus a green light. The following results give the reaction times for eight subjects. Determine at 0.05 level of significance if there is any difference in reaction to the two lights when same eight subjects are observed for the test. Also find the 95% confidence interval for difference in mean reaction time. Red Green 5 10 4 8 3 4 5 2 24 3 5 4 1 4 6
Can you rework this basing the decision onthe P-value corresponding to the observed value of thetest statistic?
What is the relationship between the t-test and the sample size? (i.e., when will a t-test be more likely to be significant/you would reject the null)?
5. Student use of cell phones during class is perceived by many faculty to be an annoying but perhaps harmless distraction. However, the use of phone to text during an exam is a serious breach of conduct. The article “The Use and Abuse of Cell Phones and Text Messaging During Class: A Survey of College Students" (College Teaching, 2012: 1-9) reported that 27 of the 267 students in a sample admitted to doing this. Using the appropriate statistical method, it is estimated that 6.5% to 13.7% of college students had texted during an exam. (a) Which part of this example gives a descriptive summary of the data? (b) Which part of this example draws an inference about a population?
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In a two-factor ANOVA, one can perform three tests. Which of the following is incorrect about these tests? Group of answer choices a. F-statistic value can vary from one test to another. b. The MST can vary from one test to another. c. The MSE can vary from one test to another. d. The critical value can vary from one test to another.
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?
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B. A sample data has a distribution that has a single mode and is strongly positively skewed. An analyst computes three measures of location for this data; the mean, the median and mode. (i) State the largest of these three location measures. (ii) Suggest, with a reason, which would be the best measure of location.