Provide the effect size and explain the size of the effect S1=8.64S2=5.01 A psychologist aims to determine the effect of instructions on the time required to solve a mechanical puzzle. Twenty volunteers are tasked with solving the same puzzle as quickly as possible. Prior to starting, the subjects are randomly divided into two equal groups, each receiving different sets of instructions. One group is informed that the task is difficult, while the other is told it is easy. The time taken by each subject to solve the puzzle is recorded. The study employs a two-tailed test with a significance level of α = 0.05.**Data**:- **Difficult instruction** group times (in minutes): - 5, 20, 7, 23, 30, 24, 9, 8, 20, 12- **Easy instruction** group times (in minutes): - 13, 6, 6, 5, 3, 6, 10, 20, 9, 12This setup examines whether the perception of task difficulty, as influenced by instructions, has a statistically significant impact on puzzle-solving times. **Independent Samples T-Test Analysis****Data Overview:**In this analysis, a dataset named "DataSet1" is used to perform a t-test, with the variable "group" divided into two subsets (1 and 2). The analysis focuses on the variable "score" with a confidence interval set at 95%.**Group Statistics:**The table below presents the group statistics based on difficulty:| Difficulty | N | Mean | Std. Deviation | Std. Error Mean ||------------|----|-------|----------------|-----------------|| Difficult | 10 | 15.800 | 8.63842 | 2.73171 || 2.00 | 10 | 9.000 | 5.01110 | 1.58465 |- **Group 1 (Difficult):** 10 samples, mean score of 15.800- **Group 2:** 10 samples, mean score of 9.000- **Standard deviations:** Group 1 (8.63842), Group 2 (5.01110)**Statistical Tests:**1. **Levene’s Test for Equality of Variances:** - F = 7.401, Sig. = 0.014 - This tests whether the variances of the two groups are equal. In this case, the p-value (0.014) indicates a significant difference in variances.2. **Independent Samples Test:** - **t-test for Equality of Means** | Assumption | t | df | Sig. (2-tailed) | Mean Difference | Std. Error Difference | 95% Confidence Interval of the Difference | |--------------------|-------|----|----------------|-----------------|-----------------------|--------------------------------------------| | Equal variances assumed | 2.153 | 18 | 0.045 | 6.800 | 3.15806 | 1.6517 to 13.43483 | | Equal variances not assumed | 2.153 | 14.441 | 0.049 | 6.800 | 3.15806 | 0.4599 to 13.55401 | - The test indicates a significant difference between the means of the two groups at a 95% confidence level under both

Equal variances: Effect size=Mean differenceStandard error difference=6.83.15806 [From the output]…

A psychologist wants to determine the effect of instructions on the time required to solve a mechanical puzzle. Each of 20 volunteers is given the same mechanical puzzle to be solved as rapidly as possible. Before the task, the subjects are randomly assigned in equal numbers to receive two different sets of

A psychologist wants to determine the effect of instructions on the time required to solve a mechanical puzzle. Each of 20 volunteers is given the same mechanical puzzle to be solved as rapidly as possible. Before the task, the subjects are randomly assigned in equal numbers to receive two different sets of

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

Match the coefficient of determination to the scatter diagram. The scales on the x-axis and y-axis are the same for each scatter diagram. (a) R? = 0.12, (b) R2 = 0.98, (c) R? = 0.58 (a) Scatter diagram Eplantory (b) Scatter diagram (e) Scatter diagram Esplanatory II Eplanatory
Q9: Please type your answer and show your work by typing
A correlation of 0.5. The community of having a cat and dog average is 60% and SD = 15. find the score of people having cats that show 75%.
What is the P(t > -1.8) with a sample size of 10.
Explain MEAN SQUARES (M S) AND F RATIOS.
A dataset has an average of 4/3. There are 50 elements in the dataset. What is the total of the dataset?
Q14Mariam wants to see how the number of absences for a student in her class affects the student’s final grade. The data obtained from a sample are shown. Absences (x)1012208Grade (y)7055968475 Find the correlation coefficient between number of absences and final grade. Round your answer to three decimal places.
A local school reports that the average GPA is 2.66 (σ =0.40). What is the effect size if the sample GPA is 2.71:
find the value represented by z-score of 2.043, given u=63 and o=4.25
An effect size of .55 would be considered?
A time study analyst observed a repetitive work cycle performed by a worker. During the observation, the analyst made a record of the work elements. She also made a note of the worker's performance and rated it as 95%. Back in the office, the analyst listed the basic motion elements for the task and the sum of the normal times for the basic motion elements was 1.38 minutes. The company uses a PFD allowance factor of 15%. What is the standard time for the task? Tstd 1.225 minutes/unit Tstd 1.587 minutes/unit Tstd 0.625 minutes/unit Tstd 1.959 minutes/unit =
How would I identify the p-value?