To determine if Reiki is an effective method for treating pain, a pilot study was carried out where acertified second-degree Reiki therapist provided treatment on volunteers. Pain was measured using a visualanalogue scale (VAS) immediately before and after the Reiki treatment. The data is in the table. Compute a90% confidence level for the mean difference in VAS score from before and after Reiki treatment. Round tothree decimal places.Pain Measures Before and After Reiki TreatmentVASafterVASbefore26538389629862986378344264CANIFO09215061877431Withand after Reiki treatment is between% confidence, it can be said that the mean difference in VAS score from beforeand

Given information- We have given that a pilot study was carried out where a certified second-degree…

Answered: To determine if Reiki is an effective…

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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Describe when you would use a t-score instead of a z-score when finding a confidence interval.
Treating the 2015 Tobacco rate data as a sample, construct a 95% confidence interval for the mean tobacco rate for males and for females. Interpret each interval. Does it appear that males use tobacco at a higher rate than females? Justify your answer, using the confidence intervals in your explanation. Construct the same confidence interval for males at the 99% confidence level. Compare to the male 95% confidence interval from the previous question. What happened to the interval when the confidence level increased? Explain why. Prevalence of smoking any tobacco product among persons aged >= 15 years Male 2015 Prevalence of smoking any tobacco product among persons aged >= 15 years Female 2015 51.2 7.6 37.2 27.8 29.5 18.4 52.3 1.5 16.7 13.1 35.5 34.8 46.5 0.4 48.8 7.6 39.8 0.7 13.1 0.9 46.2 10.6 26.5 20 17.7 1 30.5 17.1 47.2 30 19.3 11.3 29.3 3.1 42.4 28.2 36 4.5 22.2 3.5 44.1 2.8…
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construct a confidence interval for this data. You should construct a 95% confidence interval for this data. How you do this will depend on whether your data is summarized using a mean or proportions. If you have categorical data, you will have to pick one of the categories and focus on a confidence interval for the proportion for that category, and you only need to do one for that one category. Please show the parts of your equation (point estimate, Z or T, and standard error) in addition to your final result.
A graduate student is interested in how viewing different types of scenes affects working memory. For his study, he selects a random sample of 36 adults. The subjects complete a series of working memory tests before and after walking in an urban setting. Before the walk, the mean score on the test of working memory was 9.1. After the walk, the mean score was 1.4 higher. The graduate student has no presupposed assumptions about how viewing different types of scenes affects working memory, so he formulates the null and alternative hypotheses as: H00 : μDD = 0 H11 : μDD ≠ 0 Assume that the data satisfy all of the required assumptions for a repeated-measures t test. The graduate student calculates the following statistics for his hypothesis test: Mean difference (MDD) 1.4 Estimated population standard deviation of the differences (s) 1.6 Estimated standard error of the mean differences (sMDMD) 0.2667 Degrees of freedom (df) 35 The t statistic 5.25 The critical values of t…
The following data represent the results from an independent-measures study comparing itwo treatment conditions. Test at 0.05 level of significance to determine whether there is a significant mean difference between the two treatments. Use 4 decimal places.Treatment I Treatment II 8 2 7 3 6 3 5 5 9 2STATISTICS = _____COMPUTED VALUE = _____TABULAR VALUE = _____CONCLUSION = _____
Data are used either to test a hypothesis or to construct a confidence interval, but not both. Explain.
A data ninja has created a multiple regression model. There are 3 independent variables in the model. The variables and their P-values can be found in the table below. Independent VariableP-ValueX1: Advertising0.142X2: Social Media0.006X3: Coupons0.071 QUESTION: Study the P-Values. At 90% confidence level, which independent variable(s) can be proven significant in the model? Group of answer choices X3 only X1 only X2 only X2 and X3
A learn-to-type software program claims that it can improve your typing skills. To test the claim and possibly help yourself out, you and six of your friends decide to try the program and see what happens. Use the table below to construct an 80% confidence interval for the true mean change in the typing speeds for people who have completed the typing program. Let Population 1 be the typing speed before taking the program and Population 2 be the typing speed after taking the program. Round the endpoints of the interval to one decimal place, if necessary. Typing Speeds (in Words per Minute) Before After 32 33 51 42 55 40 35 32 54 33 45 30 50 52
Match to the appropriate answer. You will not use all options and you may not use each option more than once. Dummy variable Coefficient (beta) Correlation coefficient Heteroscedasticity p-value R² + Residual A. Used with categorical variable B. Lower value means statistical significance at a higher confidence level. C. When the distribution of residuals does change as the independent variable changes. D. Higher value means statistical significance at a higher confidence level. E. Difference between the predicted and observed values. F. When the distribution of residuals does not change as the independent variable changes. G. Min=-1, Max=1 H. Min-0, Max=1 1. Used to determine how much dependent variables changes if independent variable changed.
a critic points out that this 95 % confidence interval is only accurate if the statistic follows a normal distrubution , or if the normal model is a good approximation. is this true for this data? explain

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