A scientist plans to test Ho : u = µo versus HA : u 7 µo using n47 observations and setting the significance level to 2.5%. Find therejection region for this experiment.a. Reject the null hypothesis if the absolute value of T =s/Vis larger than 2.0129b. Reject the null hypothesis if T = is larger than 2.0129X-%3Dc. Reject the null hypothesis if T = 40 is smaller than -2.01298/Vnd. Reject the null hypothesis if the absolute value of T = is larger than 2.3172e. Reject the null hypothesis if T =A is larger than 2.3172Xpof. Reject the null hypothesis if T = 4 is smaller than -2.3172

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Answered: A scientist plans to test Ho : H= µ0…

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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To achieve statistical significance for a one-sample t-test, is which of the following? the t-obtained must be less than the t-critical. the t-obtained must be larger than the t-critical (farther into the region of rejection). the t-obtained must differ from the t-critical by .05. the t-obtained must equal the t-critical.
An experiment to compare the spreading rates of five different brands of yellow interior latex paint available in a particular area used 4 gallons (J = 4) of each paint. The sample average spreading rates (ft2/gal) for the five brands were x1. = 462.0, x2. = 512.8, x3. = 427.5, x4. = 469.3, and x5. = 532.1. The computed value of F was found to be significant at level ? = 0.05. With MSE = 300.8, use Tukey's procedure to investigate significant differences between brands. (Round your answer to two decimal places.)
The Board of Transportation and Safety (BTS) wants to examine the safety mechanisms of A, B, and C-class cars. Samples of 10 cars for each class were used. The board members collect the pressure exerted overall on the driver’s body during an impact test. Assume alpha of 0.05. What is dfbetween = ? What is dfwithin = ? What is the critical test statistic: ? A B C 27 21 48 13 23 39 11 10 22 15 27 30 34 34 31 n(A) = 5 n(B) = 5 n(B) = 5 T(A)=100 T(B)=115 T(C)=170 SS(A)=86 SS(B)=135 SS(C)=151 What is the MSbetween=? What is the MSwithin=? What is the calculated test statistic? Given the values of your critical test statistic and calculated test statistic, do you reject the null?
Below are pupil sizes from two samples: 8 men and 8 women (measured in millimeters). Test the hypothesis that thee is a difference in pupil sizes between males and females, using an alpha level of .01. Males Females 7.7 8.9 7.5 8.7 6.9 9.0 7.8 8.8 7.7 7.9 6.9 8.8 4.5 9.0 7.5 9.0 What is the Critical Value?
In a survey of 180 females who recently completed high school, 75% were enrolled in college. In a survey of 160 males who recently completed high school, 70% were enrolled in college. At α=0.07, can you reject the claim that there is no difference in the proportion of college enrollees between the two groups? Assume the random samples are independent. Complete parts (a) through (e). Find the critical value(s) and identify the rejection region(s).
For a one-sample t-test, what t values define the critical region for a regular two-tailed test using a sample of n=25 scores and ans Alpha level of 0.5? A. ±2.064B. +1.711C. ±1.708D. +2.060
A z-score of –1.6 has a corresponding Stanine score of:
Suppose the proportion X of surface area in a randomly selected quadrat that is covered by a certain plant has a standard beta distribution with ? = 4 and ? = 2. (a) Compute E(X) and V(X). (Round your answers to four decimal places.) E(X) = V(X) = (b) Compute P(X ≤ 0.3). (Round your answer to four decimal places.)(c) Compute P(0.3 ≤ X ≤ 0.7). (Round your answer to four decimal places.)
Find the t value that forms the boundary of the critical region in the right-hand tail for a one-tailed test with a alpha = .01 for each of the following sample sizes. a. n = 10b. n = 20c. n = 30
The following data are from a repeated-measures experiment comparing three different treatment conditions. Participant Treatment A Treatment B Treatment C A 0 1 2 B 2 5 5 C 1 2 6 D 5 4 9 E 2 8 8 TA= 10 TB= 20 TC= 30 G= 60 SSA= 14 SSB= 30 SSc= 30 SStotal=370 Conduct a repeated measures ANOVA with alpha =.05 to determine whether there are any difference between the means. Show work for all intermediary steps and include a source table for the ANOVA and calculate the partial η2 for the effect of treatment on scores. conduct any post hoc tests to determine mean differences (if the ANOVA is significant). Set up a dataset on SPSS with data from the last problem. Calculate the ANOVA and partial η2 and report the F statistic in APA format:
You obtain a t comp of .975 in a two sample independent t test with alpha at .05. Is it significant?
Find the t values that form the boundaries of the critical region for a two-tailed test with a = .05 for ear following sample sizes: n=4 n = 15 n=24

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