About: In this assignment, you will be looking at statistical output for the ANO

by Caaltu · May 20, 2024

About: In this assignment, you will be looking at statistical output for the ANOVA. The objective is to apply your understanding of how the ANOVA and hypothesis testing works to tell us whether we have a significant relationship between our variables. You will analyze provided data and write a report explaining the populations, variables, which one is the independent and dependent variable, and the results of the ANOVA hypothesis test.
Directions: Select ONE scenarios provided after the directions and complete the following report for your scenario.
Introduction (100 words minimum)
Explain what the independent and dependent variable is in your scenario
Provide the Null and Research hypothesis as based on the two variables provided
Methods (50 words minimum)
Descriptive Statistics: describe the observable differences between the groups (in other words compare their means)
State and briefly explain the f-statistic results (F-statistic and p-value in particular)
NOTE: YOU DO NOT HAVE TO CALCULATE ANY VALUES, ALL VALUES ARE PROVIDED IN THE STATISTICAL OUTPUT
3. Results (100 words minimum)
Interpret the results by explaining where there is a statistically significant relationship or not.
Make sure to state whether we accept or reject the null hypothesis.
Make sure to explain whether this means the two variables are statistically related or not.
4. Discussion (100 words minimum)
Provide some thoughts and considerations on why we obtained the results
Consider at least two additional variables that can explain the results
Clearly and fully explain how the additional variables can affect the results
Word Count: Your report should be about 350 words minimum! Include your word count at the end of your post.
Scenarios: Similar to our previous lab, here are some scenarios of various statistical outputs involving the ANOVA. Select ONE of the following to complete your assignment
ANOVA Lab Scenario 1: Days of Poor Mental Health by Religiousness
ANOVA Lab Scenario 2: Hours of TV by Level of Happiness
ANOVA Lab Scenario 3: Hours of Household Chores by Race
ANOVA Lab Scenario 1: Days of Poor Mental Health by Religiousness
About: In this scenario the researcher is interested in seeing if there is a difference in days of poor mental health between people of different religious levels
The groups that were examined were: Very religious, Moderately Religious, Slightly Religious, and Not Religious at All
Here are their results!
Statistical Output Begins
Descriptive Statistics: Days of Poor Mental Health by Level of Religiousness
Level of Religiousness
N
Mean
Std. Deviation
Very religious
199
2.90
6.680
Moderately religious
585
3.82
7.208
Slightly religious
463
4.50
8.166
Not religious at all
643
5.74
8.400
F-statistic Output
Type of Variation
df
Mean Square
F-statistic
Sig. Level
Between Groups
3
589.560
9.645
p < .001 Within Groups 1886 61.128 Source: General Social Survey, 2022 Directions: 1. If you decide to select this scenario, complete the instructions for lab analysis #2 based on these outputs. 2. Take a picture of the data output, copy and paste it, or keep both the scenario window open and the lab analysis assignment open ANOVA Lab Scenario 2: Hours of TV by Level of Happiness About: In this scenario the researcher is interested in seeing if there is a difference in hours of TV Watching per day between people of different happiness levels The groups that were examined were:Very Happy, Somewhat Happy, Not Too Happy Here are their results! Statistical Output Begins Descriptive Statistics: Days of Poor Mental Health by Level of Religiousness Happiness Level N Mean Hours of TV Standard Deviation very happy 521 2.90 2.869 pretty happy 1358 3.48 3.504 not too happy 459 3.47 3.384 F-statistic Output Type of Variation df Mean Square F-statistic Sig. Level Between Groups 3 68.366 6.095 p = .002 Within Groups 1886 11.216 Source: General Social Survey, 2022 Directions: 1. If you decide to select this scenario, complete the instructions for lab analysis #2 based on these outputs. 2. Take a picture of the data output, copy and paste it, or keep both the scenario window open and the lab analysis assignment open ANOVA Lab Scenario 3: Hours of Household Chores by Race About: In this scenario the researcher is interested in seeing if there is a difference in hours of household chores between people of different racial groups The groups that were examined were: White, Black, Other Here are their results! Statistical Output Begins Descriptive Statistics: Days of Poor Mental Health by Level of Religiousness Happiness Level N Mean Hours of Household Chores Standard Deviation White 804 9.90 hours 10.095 Black 1849.66 15.488 Other 127 11.46 11.252 F-statistic Output Type of Variation df Mean Square F-statistic Sig. Level Between Groups 2 149.8 1.175 p = .309 Within Groups 1112 127.4 Source: General Social Survey, 2022 Directions: 1. If you decide to select this scenario, complete the instructions for lab analysis #2 based on these outputs. 2. Take a picture of the data output, copy and paste it, or keep both the scenario window open and the lab analysis assignment open