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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which of these comparison between an ANOVA and t test is correct? A. a t test provides more flexibilty in research studies than an ANOVA B. An ANOVA examines wheater mean differences exists between conditions wheres t test does not C. An ANOVA can be used to compare three or more conditions wheres a t test cannot D. A t test can be used to compare two conditions wheres an ANOVA cannot.
A data set includes data from 400 random tornadoes. The display from technology available below results from using the tornado lengths (miles) to test the claim that the mean tornado length is greater than 2.9 miles. Use a 0.05 significance level. Identify the null and alternative hypotheses, test statistic, P-value, and state the final conclusion that addresses the original claim. LOADING... Click the icon to view the display from technology. Assuming all conditions for conducting a hypothesis test are met, what are the null and alternative hypotheses? A. H0: μ=2.9 miles H1: μ<2.9 miles B. H0: μ=2.9 miles H1: μ>2.9 miles C. H0: μ<2.9 miles H1: μ=2.9 miles D. H0: μ=2.9 miles H1: μ≠2.9 miles
A data set includes data from 500 random tornadoes. The display from technology available below results from using the tornado lengths (miles) to test the claim that the mean tornado length is K greater than 2.4 miles. Use a 0.05 significance level. Identify the null and alternative hypotheses, test statistic, P-value, and state the final conclusion that addresses the original claim. i Click the icon to view the display from technology. S Assuming all conditions for conducting a hypothesis test are met, what are the null and alternative hypotheses? OA. Ho: H=2.4 miles H₁: #2.4 miles H and OC. Ho: 2.4 miles H₁: p24 Variable Sample Mean Std. E. OF T-Stat Stat P-value Length 3.01651 0.234729 499 2.626476 0.0044 1 → N | OB. H: 2.4 miles J 8 I M K O H - X Remaining: 01:13:56 L". command x option Next
a sample of employees is selected and it is found that 45% own a computer which is it a statistic or a parameter
20
Data are collected in an experiment designed to in- vestigate the impact of different positions of the mother during ultrasound on fetal heart rate. Fetal heart rate is measured by ultrasound in beats per minute. The study includes 20 women who are as- signed to one position and have the fetal heart rate measured in that position. Each woman is between 28 weeks and 32 weeks gestation. The data are shown in Table 7–7. Is there a significant difference in mean fetal heart rates by position? Run the test at a 5% level of significance. back side sitting standing 140 141 144 147 144 143 145 145 146 145 147 148 141 144 148 149 139 136 144 145
Table 3: Significant Influence between Management Capability of Administrators and Productivity of Employees Leadership Skills Productivity of Employees Beta t-value p-value Skills .624** 1.56 .000 Knowledge .456** 4.25 .000 Aptitudes .552** 4.22 .000 R2 =.639 Evalue=6.45 p value=.000 Present, analyze and interpret the data. Make inference at the end of your discussion
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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.
I need help with this problem Conduct a hypothesis test about the mean cost per square foot at a chosen significance level. Reference an internet source for the current average (or median) cost per square foot of homes in Orange County. Discuss/explain your choice of significance level for your hypothesis test in #1 as it relates to the power of a test and Type I/II errors.
Please show your work, -)

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