1. Make a statistical decision about the null. Will you reject or fail to reject the null based on your sample data? 2. Justify your decision regarding the null.3. Calculate the effect size for the comparison of those who estimated the line while alone vs. those who estimated in the length of line B when others told them it was 7 inches long (using Cohen's d). How large of an effect size is this (small, medium, or large)? Soloman Asch conducted a series of highly influential studies in the 1950's onconformity. In a typical study, subjects are shown a card with the figure below, and toldthat the length of line “X” is exactly 6 inches. It is known that in the population, themean estimated length of line "B" is µ = 6 inches, when individuals are asked toestimate the length of line "B" when they are alone.|||XABCTo study conformity, subjects in the experiment join a group with 4 otherindividuals, all of whom are confederates (i.e. they are actors who are part of theexperiment). The group is told that line "X" is exactly 6 inches. Each confederate isthen asked, one at a time, to estimate the length of line "B", and after each of themagrees that line “B” is 7 inches in length, the subject is asked to estimate the lengthof line "B". A sample of 10 subjects participate, and in this sample, the estimatedlength that each participant reports is shown in the table below. Complete all 4 stepsof hypothesis testing to decide if there is a significant difference in estimates of thelength of line "B" among people who are asked while they are alone, compared towhen they are in a group. Participant12345678910Estimated Length ofLine B (inches)5.58.2755.56.97.485.5M = 6.7(x-M) 21.44S1.692.250.092.891.440.040.491.691.44SS = 13.412 = 1.49s = 1.22

Given that sample size (n) = 10, sample mean, M = 6.7 and sample SD, s = 1.22

1. Make a statistical decision about the null. Will you reject or fail to reject the null based on your sample data? 2. Justify your decision regarding the null. 3. Calculate the effect size for the comparison of those who estimated the line while alone vs. those who estimated in the length of line B when others told them it was 7 inches long (using Cohen's d). How large of an effect size is this (small, medium, or large)?

1. Make a statistical decision about the null. Will you reject or fail to reject the null based on your sample data? 2. Justify your decision regarding the null. 3. Calculate the effect size for the comparison of those who estimated the line while alone vs. those who estimated in the length of line B when others told them it was 7 inches long (using Cohen's d). How large of an effect size is this (small, medium, or large)?

MATLAB: An Introduction with Applications

6th Edition

ISBN:9781119256830

Author:Amos Gilat

Publisher:Amos Gilat

Chapter1: Starting With Matlab

Section: Chapter Questions

Problem 1P

See similar textbooks

Similar questions

The average house has 15 paintings on its walls. Is the mean larger for houses owned by teachers? The data show the results of a survey of 16 teachers who were asked how many paintings they have in their houses. Assume that the distribution of the population is normal. 18, 15, 17, 14, 16, 17, 18, 15, 15, 14, 14, 14, 15, 15, 16, 18 What can be concluded at the a = 0.05 level of significance? a. For this study, we should use Select an answer b. The null and alternative hypotheses would be: Но: Select an answer v H1: Select an answer v c. The test statistic ? v = (please show your answer to 3 decimal places.) d. The p-value = (Please show your answer to 4 decimal places.) e. The p-value is ? va f. Based on this, we should Select an answer v the null hypothesis. g. Thus, the final conclusion is that ... O The data suggest the population mean is not significantly more than 15 at a = 0.05, so there is sufficient evidence to conclude that the population mean number of paintings that are in…
C, D, G
solve a and b
thanks for attempting my question. would appreciate a quick response and an explanation. thanks Question 1 of 4 Assume that we have 6 manifest variables and 3 factors. The communality of 3 on variable 74 is obtained with the following: 34 O B. Y 34 O D. Y43 Question 3 of 4 Assume we have 6 manifest variables and 3 factors. The proportion of variance in the 2nd manifest variable accounted for by all of the factors can be represented as follows: O A. 22 О в. C. 13 33 Y 63 O D. 2-2; = Y21 +?22+?23
The test for the equality of two population variances is based on which of the following? a The ratio of the two sample variances. b The difference between the two population variances. c The difference between the two sample variances. d The ratio of the population variances to the sample variances.
PLEASE ANSWER CORRECTLY URGENT
5:23 Pulse = 101 of ... 3.00-3.79 3.80-4.59 4.60-5.39 5.40-6.19 6.20-6.99 Pulse > 11 5 3 0 1 Chosen classes can vary. Aa 34. Twenty-nine executives reported the number of telephone calls made during a randomly selected week as shown here. Construct a stem and leaf plot for the data and analyze the results. 22 14 12 14 12 9 54 9 54 12 16 12 12 14 49 10 14 8 21 37 28 36 22 9 33 58 31 41 19 3 18 25 28 52 35. The National Insurance Crime Bureau reported that these data represent the number of 51 G
a. Qi b. Q3 3. The revenues of the top eleven personal computer manufacturers are given (in hundred millions). 1. 27 a. Compute the first quartile. -C. M. 7 8. 9. 9. 10 b. The third quartile. c. Determine the median. d. Draw a box plot for the data. е. е. Calculate Pearson's coefficient of skewness.
An athletic shoemaker wants to test if their new running shoe specially made for sprinting is better than the competition. To do this, they recruit 35 NCAA sprinters and time their 100-meter dash wearing the company's shoe and then time their 100-meter dash again wearing the competitor’s shoe. The difference of these times is then calculated asTimecompany.shoe−Timecompetitor.shoe. The sample mean difference in times is 0.53 seconds and the sample standard deviation is 1.1. Conduct a hypothesis test at theα=0.1 level. (a) Set up the null and alternative hypothesis (using mathematical notation/numbers AND interpret them in the context of the problem) (b) Calculate the test statistic (c) Calculate the critical value. (d) Draw a picture of the distribution of the test statistic underH0. Label and provide values for the critical value and the test statistic, and shade the critical region. (e) Make and justify a statistical decision at theα= 0.15 level and state your conclusions in the…
Said that trey watched the hornd (0 EO a SurNEN SE G00 adults 240 Cup final cn T.V. USing trese e Statistics, of error, E, Con fidlence loterval for the popation Caiculate Sample the margin for a 90% Of Gll Stu deots that watched the Warld cup final co t.v.