HUB670 Statistics Exericse

docx

School

National University College *

*We aren’t endorsed by this school

Course

670

Subject

Statistics

Date

Apr 3, 2024

Type

docx

Pages

Uploaded by MateScience10909

NAME_____________________________ HUB 670 Statistics Exercise 1. Upload the file called HUB670 Statistics Exercise Data.xls (located in Week 4) 2. Produce the descriptive statistics for the Age variable: (a) go to the Descriptive Statistics Calculator (https://www.calculatorsoup.com/calculators/statistics/descriptivestatistics.php),.(b) copy and paste the age data into the Enter Data box, (c) click Calculate, (d) report the following: What is the average (mean) Age?____________ What is the standard deviation of Age?_________ What is the Age range?____________ What is the minimum _____ and maximum_____ Age? What is the sum of all ages? ______ Are there any outlier? (Yes/No) 3. Run the Independent t-test to compare the ages of males and females. (a) go to the Social Science Statistics Calculator (https://www.socscistatistics.com/tests/), (b) select the T-Test Calculator for 2 Independent Mean, (c) click T-Test Calculator, (d) copy and paste the Age data for the Males (P1 to P15) under Treatment 1 and the Age data for the Females (P16 to P 30) under Treatment 2, (e) select significant level = .05 and Two-tailed hypothesis, (f) click Calculate T and P values What is the mean Age for the Males (M 1 )? ____________ What is the mean Age for the Females (M 2 )? ___________ What is the t value? ______________ What is the p value? ______ Is the p value significant? (Yes/No) What are the degrees of freedom (df) for this t-test (number of Males N 1 plus number of Females N 2 minus 2)? ________ Report this independent-t-test using APA format: [t(df) = value of t, p greater than (>) or less than (<) .05] ____________________________ Is there a statistically significant difference between the Ages of Males and Females (Yes/No)? 4. Do a correlation between Mean Workload and Mean Stress. (a) go to the Social Science Statistics Calculator (https://www.socscistatistics.com/tests/), (b) select the Pearson Correlation Coefficient Calculator, (c) click on Take me to the calculator, (d) put the Mean Workload data under the X Values and the Mean Stress data under the Y Values, (e) calculate R, (f) go to the bottom of the output (ignore all the stuff in between) and answer these questions What is the value of R (the correlation)? _______ What is the p value: Enter the R value and N value (number of participants)? ______ Is the p value significant? (Yes/No) What are the degrees of freedom (df) for this correlation (number of participants minus 2)? __________ Report this correlation using APA format: [r(df) = value of R, p greater than (>) or less than (<) .05] ____________________________ Copy and paste the scatterplot here (use Paste Special and select either Bitmap or Picture)

Does the scatter plot show a positive or negative correlation? (Positive/Negative)? Explain why the scatterplot is either positive or negative and what this means with regard to the relationship between workload and stress ________________________________________________________________________ ________________________________________________________________________ 5. Analyze the data from the meta-analysis. Go to the Social Science Statistics Calculator (https://www.socscistatistics.com/tests/), (a) go to T-Test Calculator for Single Sample, (b) click on Take me to the calculator, (c) enter a zero (0) for Population Mean (you are testing the hypothesis that your data are significantly different than zero--no effect), (d) enter the data from the Meta-Analysis Metric under Sample X, (e) click Calculate What is the t value? ______________ What is the p value? ______ Is the p value significant? (Yes/No) What are the degrees of freedom (df) for this t-test (number of data points minus 1)? ________ Report this single sample-t-test using APA format: [t(df) = value of t, p greater than (>) or less than (<) .05] ____________________________ What can you conclude from this statistical test? ________________________________________________________________________ _______________________________________________________________________ 6. Produce Sums for the three Qualitative Themes: (a) Go to the Descriptive Statistics Calculator (again) (https://www.calculatorsoup.com/calculators/statistics/descriptivestatistics.php), (b) copy and paste the data for each theme and the Total Themes (you'll need to do these separately),( c) click Calculate, (d) and record these sums Theme 1 ______ Theme 2 ______ Theme 3 ______ Total Themes ______ 7. Do a Chi-square (  2 ) analysis for the qualitative study themes. (a) go to the GraphPad Chi- Square Calculator (http://graphpad.com/quickcalcs/chisquared1.cfm ), (b), enter the three theme names into the first three categories (write Theme 1, Theme 2 and Theme 3), (c) enter the sums of each category under the Observed # column (d) enter the expected value in the third column (because the total across the three themes (Total Themes) is 45, the expected value for each is 15), (e) click on Calculate Now. What is the value of Chi-square (  2 )? ____________________ What are the degrees of freedom (df)? _________ What is the value of p? _________ Is the Chi-square (  2 ) statistically significant? (Yes/No) Report the Chi-Square using APA format [  2 (df) = value of  2 , p greater than (>) or less than (<) .05] _______________________________________ Which theme is statistically different from the others? (Theme 1, Theme 2, Theme 3) What might you conclude about the themes identified in this qualitative study? ______________________________________________________________________________ ______________________________________________________________________________

Your preview ends here

Eager to read complete document? Join bartleby learn and gain access to the full version