please answer all fill in the blank
Test statistic
F = MS(between) / MS(Within) = 662.70/153.63 = 4.31
Fcritical at α = 0.05 is F.INV.RT(0.05, 1, 28) = 4.196
At a significance level of α = 0.05, the null hypothesis is rejected. You find that you can conclude that the direction that the stroller faces influences a child's expressive vocabulary at 18 months.
t test statistic:
df = 15+15-2 =28
the critical t score = T.INV.2T(0.05, 28) = +2.048, -2.048
At a significance level of α = 0.05, the null hypothesis is rejected. You find that you can conclude that the direction that the stroller faces influences a child's expressive vocabulary at 18 months.
When you evaluated the mean difference from the independent-measures study comparing only two samples, the ANOVA and t test resulted in same conclusion.
Keep the Highest: Attempts: /4.5 7. Comparing ANOVA and the t test for an independent-measures hy...
Answers in blanks are not the actualy answers, just randomly chosen. plz help Now you decide to use a t test to test the hypothesis that there is no difference between the groups. The estimated standard error (SM1 M2) is 4.04, so the t test statistic is 2.43 Use the following tool to find the critical regions for α-.05. t Distribution Degrees of Freedom-21 .5197 4803 5000 2500 2500 0.0 0.05 0.686 3.0 2.0 1.0 1.0 2.0 3.0 0.686 The...
For either independent-measures or repeated-measures designs comparing two treatments, the mean difference can be evaluated with either at test or an ANOVA. The two tests are related by the equation F=12. The following data are from a repeated-measures study: Person Difference Scores 3 I 4 2 3 7 M = 4.00 T = 16 SS = 14 Treatment II 7 11 6 10 M 8.50 T-34 SS = 17 3 3 Mo 4.50 SS = 27.00 Use a repeated-measures t...
Consider the following data from a repeated-measures design. You want to use a repeated-measures t test to test the null hypothesis H_0: mu_D = 0 (the null hypothesis states that the mean difference for the general population is zero). The data consist of five observations, each with two measurements, A and B, taken before and after a treatment. Assume the population of the differences in these measurements are normally distributed. Complete the following table by calculating the differences and the...
4. Repeated-measures ANOVA Aa Aa Suppose you are interested in studying whether lighting brightness affects spatial reasoning abilities. You decide to test spatial reasoning using completion time scores for the paper-folding test with five people, repeating the test on each person with three different lighting levels (800, 1,000, and 1,200 lux) In this experiment, the null hypothesis is that: O There are no individual differences in the completion time means O The completion time mean for at least one lighting...
5. A step-by-step hypothesis test for a repeated-measures design Aa Aa E Consider the following data from a repeated-measures design. You want to use a repeated-measures t test to test the null hypothesis Ho: Wp = 0 (the null hypothesis states that the mean difference for the general population is zero). The data consist of five observations, each with two measurements, A and B, taken before and after a treatment. Assume the population of the differences in these measurements are...
Looking for some help with this stats problem - will give good reviews! Attempts Average: /19 10. Comparing repeated-measures ANOVA to independent-measures ANOVA Aa Aa You are interested in studying how formal language exposure and deafness affect language acquisition. You want to compare three groups: a hearing group, a deaf group that began learning American Sign Language (ASL) before age 1, and a deaf group that did not begin learning ASL until age 1. You are trying to decide whether...
5. Hypothesis testing with ANOVA Aa Aa E Opinions about whether caffeine enhances test performance differ. You design a study to test the impact of drinks with different caffeine contents on students' test-taking abilities. You choose 21 students at random from your introductory psychology course to participate in your study. You randomly assign each student to one of three drinks, each with a different caffeine concentration, such that there are seven students assigned to each drink. You then give each...
Question 86 Not yet answered For an independent-measures ANOVA comparing three treatments with a sample of n the critical value for the F-ratio using a = .05? 5 in each treatment, what is Points out of 100 P Flag Question Select one: O a. 3.74 b. 3.34 O c. 3.49 d. 3.88 Question 87 Not yet answered Determining the class standing (1st, 2nd, and so on) for the graduating seniors at a high school would involve measurement on a(n) —...
Opinions about whether caffeine enhances test performance differ. You design a study to test the impact of drinks with different caffeine contents on students' test-taking abilities. You choose 21 students at random from your introductory psychology course to participate in your study. You randomly assign each student to one of three drinks, each with a different caffeine concentration, such that there are seven students assigned to each drink. You then give each of them a plain capsule containing the precise...
LLLLLS. 6. A one-tailed hypothesis test for a repeated-measures design Here to learn more. Aa Aa E A cognitive psychologist is interested in whether increasing reading speed improves comprehension. He has students complete a reading comprehension task before and after a six-week speed-reading course In the beginning of the study, a randomly selected group of 81 students scored an average of 102 points on the reading comprehension task. Since the sample size is larger than 30, the cognitive psychologist can...