Which one of the following choices describes a problem for which an analysis of variance would be appropriate? O A. Comparing the proportion of successes for three different treatments of anxiety. Each treatment is tried on 100 patients O B. Analyzing the relationship between high school GPA and college GPA O C. Analyzing the relationship between gender and opinion about capital punishment (favor or oppose). O D. Comparing the mean birth weights of newborn babies for three different hospitals. O E. None of these

Which one of the following choices describes a problem for which an analysis of variance would be appropriate? O A. Comparing the proportion of successes for three different treatments of anxiety. Each treatment is tried on 100 patients O B. Analyzing the relationship between high school GPA and college GPA O C. Analyzing the relationship between gender and opinion about capital punishment (favor or oppose). O D. Comparing the mean birth weights of newborn babies for three different hospitals. O E. None of these

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. In studying the effect of a drug for treating patients with respiratory problems, a researcher obtained a sample of 12 consenting patients, who, after discussion with their doctor, chose a respiratory drug they would receive. Patients' respiratory tests were assessed twice over a two-month period after initiating the treatment. Research question: The researcher wants to know if there is a significant difference between the group in their second test and those that didn't take the drug in their overall mean of 3.35 in average respiratory scores with a standard deviation of .08. Is there a difference between the two means - does the drug work? Carry out 9 steps of hypothesis testing. Respiratory Test 2 3.4 3.4 3.3 3.4 3.3 3.3 3.3 3.2 3.2 3.2 3.2 3.3 Σ-39.5
You want to run an ANOVA looking at the effect of attending review sessions on students’ statistics grades. Which of the following would be included in the F-ratio for an independent-measures ANOVA but would not be included in the F-ratio for a repeated-measures ANOVA? a)Individual students’ baseline level of skill at statistics b)Between-groups variance c)The amount of benefit students receive from the review sessions d)Measurement error
Which of the following statements is true about a factorial analysis of variance? A. The number of main effects will be equal to the number of interaction effects. B. The number of main effects will be equal to the number of independent variables plus the number of interaction effects. C. The number of main effects will be equal to the number of independent variables. D. The number of main effects will be equal to the number of independent variables minus the number of interaction effects.
The following data were obtained from an independent measures research study comparing three treatment conditions. Use an ANOVA with = .05 to determine whether there are any significant mean differences among the treatments. TREATMENT I II III 5 2 7 1 6 3 2 2 2 3 3 4 0 5 5 1 3 2 2…
Jason collects information about annual family income from each student at his college. He computes both the mean and median family income across all students and is surprised to find that the mean income is much higher than the median income. What is the most likely reason for the difference in the mean and the median? Select one: a. The sample size is too small. b. The median tends to produce lower estimates of central tendency. c. The median is not an appropriate estimate for annual family income's level of measurement. Incorrect d. The mean is more affected by a small number of extreme values.
This is a friendly reminder about scientific notation. Excel reports very small numbers in scientific notation. For example, 8.15E-05 is typical notation for 8.15 x 10-5. The exponent of -5 means you have to move the decimal five places to the left and fill in with zeroes. What you get is 0.0000815. Here is the Excel output again for the regression of Sales and Experience: Regression Statistics 0.5966 0.3559 0.339 497.9058 Multiple R R Square Adjusted R Square Standard Error Observations ANOVA Regression Residual Total Intercept Experience (months) 40 df 1 38 39 Coefficients 6.6108 SS MS 5205388.04 5205388.04 9420585.51 Standard Error 4250.9742 180.2332 14625973.55 1.4427 247910.15 t Stat 23.586 4.5822 P-value 2.71E-24 4.85E-05 F 20.9971 Lower 95% Upper 95% Significance F 4.85E-05 3886.1113 4615.8372 3.6902 The analyst decides to use an a = 0.05 significance level. Is there a statistically significant relationship between Sales and Experience? 9.5313
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3. Recent research suggests that American teenagers spend too much time on extracurricular activities. Mrs. Del Cueto, the principal of the local high school, decides to take a sample of students from her school to find out the number extracurricular activities in which they are involved. Using the data presented below, provide the N, mean, median, and the mode. 0, 0, 0, 0, 0, 1, 1, 2, 2, 2, 3, 3, 4, 4, 4, 4
What is the variance for the following set of scores? 4, 4, 4, 4, 4 Lütfen birini seçin: A. 2 B. 5 C. 0 D. 4
If an analysis of variance is used for the following data, what would be the effect of changing the value of M2 to 20? Sample Data M1 = 10 M2 = 15 SS1 = 90 SS2 = 70 a. Increase SSbetween and increase the size of the F-ratio. b. Increase SSbetween and decrease the size of the F-ratio. c. Decrease SSbetween and increase the size of the F-ratio. d. Decrease SSbetween and decrease the size of the F-ratio.
Which of these scenarios means that a pretest-posttest design with a non-equivalent control group is not suitable? Select all that apply. O a. All of the available participants will be receiving the intervention at the same time. O b. Authors want to examine for any trends in the data over time. O c. The participants were placed into the experimental and control groups by natural circumstances rather than random assignment. O d. Authors want to compare averages between two groups before and after the intervention using an ANOVA.
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