A project based on touch therapy is presented at a science fair by a local high school student. In the science fair, practitioners of touch therapy are blindfolded to see if they can detect a "human energyfield (HEF)" without touching patients. The student believes that a practitioner with less years of experience predicts more HEF correctly. What can be concluded with an a of 0.01?experienceHEF225213122739.52871513449.4a) Select and compute the appropriate statistic.---Select---b) Obtain/compute the appropriate values to make a decision about Ho.Critical Value =X ; Test Statistic = |0.471Decision: Fail to reject H0 ▼c) Compute the corresponding effect size(s) and indicate magnitude(s).If not appropriate, input and/or select "na" below...Effect Size = |0.027; Magnitude: nad) Make an interpretation based on the results.O Practitioners with more years of experience predict more HEF correctly.Practitioners with less years of experience predict more HEF correctly.Practitioners' years of experience does not predict detecting HEF.

To test whether the practitioners with less years of experience predicts HEF correctly or not.

Answered: school studen field (HEF)" without…

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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using tables 2 and 3 attached: ) Are the data in this study dependent or independent? How do you know this? ) Which t test statistic in Table 3 is the greatest for the 6-month follow-up? Which variable is being examined with this test statistic? What are the groups being examined with this test statistic? ) Compare the pretest to 3 months and 6 months t test statistics for BMI from Table 2. What is your conclusion regarding the effects of the health-promotion intervention on the BMI long term? ) How would you describe the result of t = -1.45 in this study? ) Which t test statistic listed in Table 3 represents the smallest relative difference between the pretest and 3 months? Is it statistically significant? What does this result mean? ) What are the assumptions for conducting a t-test for dependent groups? Which of these assumptions do you think were met by this study?
Q2) Independent-Samples t-Test (Round calculated results to the hundredth (2nd place to the right of the decimal)) In a research project, researchers collected demographic and health data from a sample of elderly residents in the community. To examine any possible gender differences in their sample, they want to see if the females and the males differ significantly on the education level (number of years of formal schooling). The researchers are not predicting any direction in the possible gender differences so the hypotheses should be non-directional. They would like to run a two-tailed test with α = .10. Male Subject ID Education Female Subject ID Education 1 14 13 14 2 15 14 15 3 17 15 18 4 13 16 18 5 15 17 16 6 15 18 17 7 13 19 16 8 15 20 16 9 15 21 17 10 16 22 15 11 17…
This research was conducted with Korean adolescents in the Los Angeles area. Would you be willing to generalize the results of this study to Korean adolescents who live in other regions of the country? Why or why not.
estioh 20 For a 4-unit class like Statistics, students should spend average of 12 hours studying for the class. A survey was done on 27 students, and the distribution of total study hours per week is bell-shaped with a mean of 14 hours and a standard deviation of 2.6 hours. Use the Empirical Rule to answer the following questions. a) 68% of the students spend between hours and hours on Statistics each week. b) 95% of the students spend between hours and hours on Statistics each week. c) 99.7% of the students spend between hours and hours on Statistics each week. Question Help: Written Example > Next Question DD 888 F9 80 FB F7 F6 F5 F4 F3 F2 F1 & 23 2$ 8. 9. 7 1 2 3 T Q W K H S F 8: < CO
Please don't provide handwritten solution......
Need p-value and test statistic please
Researchers were interested in assessing whether stress levels are different at the beginning of the semester compared to finals week. To test this, stress was measured in 5 students at the start of the semester and then again at the end of the semester during finals week. Participant Stress 1 Stress 2 Difference Score (Di) (Di - Mdiff)2 1 22 22 0 2 32 34 -2 3 24 25 -1 4 28 30 -2 5 26 29 -3 What is the observed test statistic (i.e., tobs)? Round to 2 decimal places.
1. Are there any statistically significant differences between the patients assigned to the experimental treatment and placebo? Justify 2. Consider the comparison of treatments with respect to patient age. Run appropriate test using data.
Here is the scenario for your Between Subjects Independent One Way ANOVA: Dr. Xena is interested in determine which type of therapy best helps persons with bipolar depression. She gathers a random and representative sample of men and women ages 18-95 years of age who have a diagnosis of Bipolar Depression who are taking Lithium for at least 6 months. She randomly assigns participants to conditions and measures well being scores after 4 months of therapy. Well being scores range from 0-100, with 100 being high well-being (feel good and experiencing no mood swings). Here is the data: Cognitive Therapy EMDR Therapy Psychoanalytical Therapy 15 72 28 78 91…
Salma claimed that the gas price in Blue Park neighborhood (mean of $3.65) is higher than that in Green Spring (mean of $3.59). She obtained the t-value of 2.223 after calculating data from 6 gas stations in Blue Park and 5 gas stations in Green Spring. Use the chart below and determine if Salma's claim is supported! Table 10-3. Critical values of "t" significance level p= 0.05 significance level p= 0.01 TP 1 12.706 63.657 2 4.303 9.925 3 3.182 5.841 2.776 4.604 5 2.571 4.032 6 2.447 3.707 7 2.365 3.499 2.306 3.355 9 2.262 3.250 10 2.228 3.169 11 2.201 3.106 Copy the following into your text box, fill in the blanks, and answer the questions A. The degree of freedom is: B. The t-calculated value is: and the t-critical value is : C. Comparison: t-calc t-crit (answer with ()) D. Is the null hypothesis accepted or rejected? Explain how you determined that! Also, explain what it means to reject or accept the hypothesis! E. Explain if Salma's claim is supported based on your t-value…
What is the critical value? What is the p value?

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