The ANOVA F-test is always a left tailed test two tailed test right tailed test What distribution does the test use? χ2 t z F
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- left tailed test
- two tailed test
- right tailed test
- χ2
- t
- z
- F
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- Sample distribution of variance follows a Chi-Square distribution with n-1 degrees of freedom true or falseConsidering that the dependent variable (DV) is continuous, what ANOVA procedure would you like to use if there is a single within-subject Independent Variable (IV) with three repeated observations and a single between-subjects Independent Variable (IV) with two distinct groups? Group of answer choices None of the ANOVA methods can be applied One factor ANOVA Dependent t test Repeated measures ANOVA Split-Plot ANOVAWhich of the following statements is true about nonparametric tests? uses means to compare underlying distribution must be normal more assumptions than parametric tests does not assume data follows a specific distribution
- Moddel Parameters (Points) Source Value Standard Error t Pr > |t| Intercept 0.437798 5.9182 0.073948 0.9428 Hours 0.829539 0.109474 7.57748 0.0001 Analysis of Variance (Points) Source Sum of Squares Df Mean Square F Pr > |t| Model 3249.72 1 3249.72 57.42 0.0001 Error 452.779 8 56.5974 Corrected Total 3702.5 9 1. Use the estimatedd regression to predict the points of a student who spent 50 hours studying for this course. A. Y=50, so Y^=50 B. X=50, so Y^=0.83+0.44(50)=22.83 C. X=50, so Y^=0.44+0.83(50)=41.94 D. Unable to find. 1a. If a student spennt 120 hours studying for this course, would you feeel comfortable to use your estimated regresssion equation to predict his points? Why? A. The range of X in our data is from 10 to 85. X = 120 is outside the range of X. I do not feel comfortable to use my estimated regression equation to predict his points as the linear relationship may not hold when X = 120. B. I know that 120 hours is…pre-test post-test Mean Variance -2.25 0.75 9.30 13.30 Observations 12 12 Pearson Correlation 0.9478 Hypothesized Mean 0 Difference df 11 t Stat 2.076 P(T<=t) one-tail 0.035 t Critical one-tail 1.796 P(T<=t) two-tail 0.065 t Critical two-tail 2.201Two-sample t-test I need to perform a two-sample t-test analysis to determine if mean absenteeism is different between organizations which have a good Union management and those that do not. Can you please explain the steps to get this in excel? Data: Wage Pct PT Pct U Av Shift U/M Rel Absent 22477 8.5 57.1 1 1 5.4 29939 1.9 41.5 0 1 4.1 22957 12.2 52.6 1 0 11.5 18888 30.8 65.1 0 1 2.1 15078 6.8 68.8 0 1 5.9 15481 5.1 46.4 0 0 12.9 21481 25.3 38.9 0 1 3.5 29687 9.2 17.2 0 0 2.6 13603 8.4 12.9 0 0 8.6 18303 4.9 18.1 0 1 2.7 20832 23.8 64.4 1 1 6.6 22325 24.1 63.7 1 1 2.1 19964 8.6 12.2 0 1 3.8 32496 5.9 11.8 1 0 4.3 15795 2.9 25.8 0 1 4.3 21138 24.3 53.2 0 0 2.2 18859 20.6 22.8 1 1 8.6 12023 9 49.8 1 1 10.8 33272 24 39.1 1 0 2.9 22325 11.9 32.6 1 0 5.3 26147 0 67.7 1 0 8.2 33229 11.7 10.8 0 0 2.8 37970 14.6 25.5 1 1 2.4 15281 27.2 31.8 0 0 2.8 19423 17.2 35 1 1 5 26587 13.9 41.9 1 1 9.5 22963 2.6 52.9 0 1 4.3 26404 6.4 64.4 0 1…
- Considering that the dependent variable (DV) is continuous, what ANOVA procedure would you like to use if there is a single between-subject Independent Variable (IV) with three distinct groups? Group of answer choices One-Way ANOVA Two-Way ANOVA Split-Plot ANOVA Repeated Measures ANOVA All of the AboveNormal Distribution] The average return on large-cap stocks is 10%. The returns on large-cap stocks is normally distributed with standard deviation of 5% What is the probability that a large-cap stock has a return of less than 5%?Critical values for z-test. Find the critical value(s) for the indicated type of test and level of significance. right-tailed test, α = 0.05 right-tailed test, α = 0.08 left-tailed test, α = 0.09
- Two-Sample Hypothesis Testing check if there is a significant difference between the 1st and 2nd measurement of weight at 10% level of significance using hypothesis testing in two variables. Construct the null and alternative hypothesis. Find for hypothesis, rejection region, test statistic, p-value, decision/conclusion, observations, pearson correlation, hypothesized mean difference, df, P(T<=t) two-tail, P(T<=t) one-tail, t Critical one-tail, t Critical two-tail. Name 1st Measurement 2nd Measurement Berino, Yoreidyl 56 kg 56 kg Cayabyab, Allyshia 41 kg 41 kg De Guzman, Carl Jersen 55 kg 55 kg Edic, Beatrice Faye 39 kg 39 kg Flores, Marc Wilson 84 kg 87 kg Gatlabayan, Angela 64 kg 64 kg Mendoza, Chelcee Franze 54 kg 54 kg Miranda, Mariella Nicole 53 kg 53 kg Nicolas, Kyla 51 kg 51 kgGiven the population mean hypothesis H0: μ = 150 and H1: μ ≠ 150 identify the the type of test distribution. (A) Right-tail test (B) Two-tail test (C) Left-tail test (D) None of thesePhoton is a training device that is designed to improve a user's reaction time. Similar devices have been criticized for being too easy to master, but the makers of Photon say that their device is built to give most users room to improve. The makers say that even among professional athletes, the proportion, p, who can score the top ranking of "light speed" is less than 18%. A random sample of 115 professional athletes is chosen, and 15 score a ranking of "light speed" while using the device. Complete the parts below to perform a hypothesis test to see if there is enough evidence, at the 0.05 level of significance, to support the claim that the proportion of all professional athletes who can score a ranking of "light speed" is less than 18%. (a) State the null hypothesis H, and the alternative hypothesis H, that you would use for the test. Oロ H: ロ=ロ ローロ (b) For your hypothesis test, you will use a Z-test. Find the values of np and n (1-p) to confirm that a Z-test can be used. (One…
