The results of an independent-measures research study are reported as "t(22) = 2.12, p <.05,two tails." For this study, what t values formed the boundaries for the critical region?Question 20 options:±2.080±2.074+2.06911±2.064

Answered: The results of an independent-measures…

MATLAB: An Introduction with Applications

6th Edition

ISBN:9781119256830

Author:Amos Gilat

Publisher:Amos Gilat

Chapter1: Starting With Matlab

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Problem 1P

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1. Model 1: OLS, using observations 1-706 Dependent variable: RST Coefficient Std. Error t-ratio p-value const 3586.38 38.9124 92.17 <0.0001 *** TOTWRK −0.150746 0.0167403 −9.005 <0.0001 *** Mean dependent var 3266.356 S.D. dependent var 444.4134 Sum squared resid 1.25e+08 S.E. of regression 421.1357 R-squared 0.103287 Adjusted R-squared 0.102014 F(1, 704) 81.08987 P-value(F) 1.99e-1810538.19 Log-likelihood −5267.096 Akaike criterion 10538.19 Schwarz criterion 10547.31 Hannan-Quinn 10541.71 RSTi =3586.38−0.150746 x TOTWRKi , R2=0.103287,SER=421.1357 (38.9124) (0.0167403) Question? could you please help with this question below. 3) By observing the GRETL output in Part (1) above, provide a detailed explanation of the coefficient of determination. Based on your analysis, is this a good model? Why or why not?
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[B-Today] CONSIDER that the data (refer to the photo below) is CORRELATED use alpha .05. Provide the following: 4. CI of the F value 5. Statistical Interpretation 6. If the F is significant, perform a POST HOC test (pairwise comparison) using MS EXCEL. What kind of t-test do you use?
The following output comes from regression using the actual HW9 scores and the Final test scores from intro stats one semester. Sample size: 50R (correlation coefficient) = 0.3658R-sq = 0.1338Estimate of error standard deviation: 10.36256Parameter estimates: Parameter Estimate Std. Err. DF T-Stat P-Value Intercept 43.558118 11.1716 48 3.899 0.0003 Slope 0.360048 0.132225 48 2.723 0.009 Assume no assumptions are violated. Form a 87% Confidence interval for how much your final is supposed to increase for each problem done on homework 9.Use 5 decimal places
4. A simple linear regression is fit to a dataset. Unfortunately, the corresponding ANOVA table is not complete because some quantities in the table are missing due to unknown digital errors. Calculate the missing values, denoted by "?", in the ANOVA table based on the other available values. Is this regression model significant (α = 0.05)? Source Regression Residual Total df ? ? 21 SS ? ? ? MS = SS/df ? 1.13 F-Ratio 430.65 p-value ?
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QUESTION 20 A treatment for anxiety is found to demonstrate a consistent reduction of anxiety sympotms by 2 points on a 50- point anxiety symptoms scale. Although patients overall do not report feeling much difference, the experiemnter finds that the change in symptoms on the anxiety symptoms scale results in a p-value of less than .05. This is an example of A statitically significant effect that does not have clinical/practical significance A clinically significant change which is supported by a statistically significant effect A correlational research design A placebo effect
3. 01:26:35 The following two-way table shows the distribution of daily traffic and weather issues in a certain large city. Suppose a day from this city is selected at random. Let event A = heavy traffic and event B = bad weather. Are events A and B independent? Daily Traffic No, P(A) = P(B|A). Нeavy Traffic Light Traffic Total O No, P(A) + P(A|B). O Yes, P(A) = P(A|B). O Yes, P(A) + P(B|A). Bad Weather 25 30 Good Weather 55 15 75 Total 80 20 100 Weather Conditions
Please answer part b in the picture. Also Plot the residuals vs the time periodic Compute the Durbin-Watson statistic. At the 0.05 level of significance, is there evidence of positive autocorrelation among the residuals. D= Find the critical values of the Durbin Watson statistic dL= dU= Is there evidence of a positive autocorrelation among the residuals? based on the results of the last two questions is there a reason to question the validity of the model? what conclusions can you reach concerning the relationship between daily sales and atmospheric temperature? A) no conclusions can be reached because the model may not be valid B) as the atmospheric temperature increases the daily sales increase C) according to the model atmospheric temperature has no effect on the daily sales D) as atmospheric temperature decreases the daily sales increase
1. Question 1: The Public Utility Commission is interested in describing the relationship between household monthly utility bills and the size of the house. A recent study of 30 randomly selected household resulted in the following regression results: SUMMARY OUTPUT Regression Statistics Multiple R R Square Adjusted R Square Standard Error 0.149769088 0.02243078 -0.012482407 16.72762259 Observations 30 ANOVA df SS MS 1 179.7725274 179.7725 0.642473 Regression Residual 28 7834.774007 279.8134 Total 29 8014.546534 t Stat 13.44691911 4.941135 3.26E-05 0.006560753 0.801544 0.429567 P-value Coefficients 66.44304169 0.005258733 Standard Eror Intercept Square Feet (a) Based on the information provided, indicate what, if any, conclusions can be reached about the relationship between utility bill and the size of the house in square feet. (b) Construct a 95% confidence interval for the true regression coefficient of Square Feet. How do you interpret this confidence interval? (c) What is the…
widely used as dielectrics and coolants in electrical systems in the past. They were found to be a major environmental contaminant in the 1960s. In a study, the mean PCB content at each of thirteen sites was reported for the years 1982 and 1996 (from “The ratio of DDE to PCB concentrations in Great Lakes herring gull eggs and its use in interpreting contaminants data”, Journal of Great Lakes Research 24 (1): 12-31, 1998). The data are below.Site:12345678910111213198261.4864.4745.5059.7058.8175.9671.5738.0630.5139.7029.7866.8963.93199613.9918.2611.2810.0221.0017.3628.207.3012.809.4112.6316.8322.74(a) Which test would be more appropriate in this case: a t-test for the difference between two population means, or a paired t-test? Why?(b) Do the data provide sufficient evidence to support the claim that the mean PCB level has decreased in the region? Be sure to check all assumptions, write the null and alternative hypotheses, calculate the appropriate test statistic, calculate the p-value,…
I keep getting P-value incorrect. Please help, WILL thumbs up if correct.

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The results of an independent-measures research study are reported as "t(22) = 2.12, p < .05, two tails." For this study, what t values formed the boundaries for the critical region? Question 20 options: ±2.080 ±2.074 ±2.069 www. ±2.064