A statement pertaining to a repeated-measures research design t test is reported in a statistical report as follows: t(16) = 1.36, p > 0.05. The critical region for this hypothesis test was t = +2.131. True False
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A statement pertaining to a repeated-measures research design t test is reported in a statistical report as follows: t(16) = 1.36, p > 0.05. The critical region for this hypothesis test was t = +2.131.
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- 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=241. What does it imply if if more values are concentrated above the mean? (Skewness) And would the value of skewness be less than, greater than, or equal to 0? 2. In case the data is highly skewed, can we still rely on the kurtosis coefficient? Why or why not? 3. Can the z-score be a real measure of dispersion?Find the t value that forms the boundary of the critical region in the right-hand tail for a one-tailed test with a=.01 for each of the following sample sizes n=10 n=20 n=30
- The results of an independent-measures research study are reported as "t(20) = 2.12, p < .05, two tails." For this study, what t values formed the boundaries for the critical region?given normally distributed sample x=12 and s=3, use the Empirical Rule determine the upper and lower bounds to contain approximately 95% of your dataFind the t value that forms the boundary of the critical region in the right-hand tail for a one-tailed test with α = .01 for each of the following sample sizes. n = 10 n = 20 n = 30
- The test statistics of z = -1.27 is obtained when testing the claim that μ ≠ 35.4. Use the significance level of α=0.05 to find the critical value(s).Find the t values that form the boundaries of the critical region for a two-tailed test with α = .05 for each of the following sample sizes. n = 6 n = 12 n = 24In a test of H0: µ=150 against HA: µ<150, a sample of size 250 produces Z = -0.65 for the value of the test statistic. Thus the p-value is approximately equal to
- Suppose a linear model y=β0+β1xy=β0+β1x is fit to a sample data set, and a test of the null hypothesis H0:β1=0H0:β1=0 against an alternative hypothesis HA:β1≠0HA:β1≠0 is performed; a PP-value of 0.4203 is obtained. Which of the following scatter plots depicts the data set on which this model was fit and the hypothesis test was performed?A researcher conducts an independent- measures research study and obtains t = 2.070 with df = 28. How many individuals participated in the entire research study? Using a two- tailed test with α = .05, is there a significant difference between the two treatment conditions? Compute r2 to measure the percentage of variance accounted for by the treatment effect.Perform the test hypothesis on the following scenarios. In building an arena, steel bars with a mean ultimate tensile strength of 400 Megapascal (MPa) with a variance of 81 MPa were delivered by the manufacturer. The project engineer tested 50 steel bars and found out that the mean ultimate tensile strength is 390 MPa. The decision for the extension of the contract with the manufacturer depends on the engineer. Test the hypothesis whether there is no significant difference between the two means using a two - tailed with a=0.01 .