Reference no: EM132367746
Statistics for Behaviroal Science
Please read the directions for each section, you must submit original work!
Part I
Assignment Content
BACKGROUND INFORMATION FROM THE FIRST SECTION OF LAST WEEK'S ASSIGNMENT WHICH IS ATTACHED
Imagine you have been asked to enhance workplace happiness and engagement at your company. You have conducted a survey and gathered data on the gender, age, relationship with direct supervisor, telecommute schedule, relationship with coworkers, along with the ratings for workplace happiness and workplace engagement for 50 individuals in your department. You must determine what variables affect workplace happiness and engagement. The first step is to run descriptive statistics on each variable to learn more about the data you have collected.
Calculate descriptive statistics for the following variables in the provided Microsoft® Excel® dataset:
Gender
Age
Relationship with Direct Supervisor
Telecommute Schedule
Relationship with Coworkers
Workplace Happiness Rating
Workplace Engagement Ratin
Directions: Now that you have run descriptive statistics with your data, it is time to create a hypothesis and test your hypothesis. This part of the Statistics Project will take you through the process of creating and testing your hypothesis through statistical methods, using Microsoft® Excel®. Creating hypotheses provides you the opportunity to think like a researcher and help you understand and critique research articles you read.
Create a hypothesis for the Happiness and Engagement Dataset from Part 1 of the Statistics Project. Your hypothesis can be anything based on the variables you have in your dataset. One example: Teaching Method X provides higher test scores than Teaching Method Y. (Dataset is attached)
Create a null hypothesis. (Example: Teaching Method X scores are equal to Teaching Method Y scores.)
State your null and alternate hypotheses.
Identify and justify which type of statistical analysis will be appropriate for this data.
Review the steps beginning on pp. 202 in Statistics Plain and Simple describing how to run an independent samples t test. (See attachment)
Run an independent samples t test on the data in your dataset.
Write a 125- to 175-word summary of your interpretation of the results of the t test, and copy and paste your Microsoft® Excel® output below the summary.
Format your summary according to APA format.
Submit your summary, including the Microsoft® Excel® output to the assignment.
Part II
Directions: Answer each question using 150-175 words. Must cite references using APA style.
1. Solve the question and explain the calculations using 150-175 words.
You find out that the average 10th grade math score, for Section 6 of the local high school, is 87 for the 25 students in the class. The average test score for all 10th grade math students across the state is 85 for 1,800 students. The standard deviation for the state is 3.8.
Answer the following questions:
What z score do you calculate?
What is the area between the mean and the z score found in Appendix A of the textbook?
What does this mean about the probability of this test score difference occurring by chance? Is it less than 0.05?
2. What is standard deviation and why is it important?
Attachment:- destynska Statistics For The Behavior Sciences.rar
Attachment:- Happiness Engagement Dataset.rar
Attachment:- t test.rar