Category: Statistics

Complete the homework questions from the attachments I included.
The directions are in included in the document called statistics J1 and all the answers should be submitted within this word document. This includes copy and pasting a table as necessary per directions
Excel documents are included to generate the answer.
Included is also a definition list in case the headers are not self explanatory
4 attachment total

Complete the homework questions from the attachments I included.
The directions are in included in the document called statistics J1 and all the answers should be submitted within this word document. This includes copy and pasting a table as necessary per directions
Excel documents are included to generate the answer.
Included is also a definition list in case the headers are not self explanatory
4 attachment total

A randomly selected individual, after going through an experimental treatment, has a score of 27 on a particular measure. The scores of people in general on this measure are normally distributed with a mean of 19 and a standard deviation of 4. The researcher predicts an effect, but no particular direction. Using the 5% significance level, what should you conclude?
1.Please define the research and null hypotheses
2.Determine the characteristics of the comparison distribution.
3.Determine the cutoff sample scores on the comparison distribution at which the null hypothesis should be rejected.
4.Determine your sample’s score on the comparison distribution
5.Determine whether to reject the null hypothesis. What does this mean? Please describe.
6.What is the region of rejection when hypothesis testing? What is the region(s) of rejection from the question above?
7.When you make your conclusion about the null hypothesis, can you say that your results prove the hypothesis? Explain why or why not.
8.What does it mean if the results of a study are inconclusive?

I have completed the first task, the B task has already had an ANOVA run, and the final task requires an ANOVA (with interaction). I need Task B completed with a report and appropriate tables in APA 7 format, (TABLES MUST BE CREATED IN WORD), and Task C will require a full statistical analysis through SPSS with a report. I have attached a word file which shows a High Distinction level of report, please use this as a guide for the remainder of the workbook.
Task B: Report (33%)
After examining their results (from Task A), the researchers were interested in including an additional variable into their model: employment status. This new study consists of the following hypotheses:
‘very high and high substance users’ would have higher stress levels than ‘moderate and low substance users’.
‘moderate substance users’ would have higher levels of stress levels than ‘low substance users’, and
these differences in stress levels are affected by employment status.
Use the Assignment 3: Workbook 2 data file to carry out the appropriate analyses to address these hypotheses and write a new report of your findings (not a continuation of Task A’s report). For this task, use a table when reporting the descriiptive statistics.
In addition, consider the following notes: 
Note 1: Assume that the assumption of normality has been met.
Note 2: Based on the result of Levene’s test statistic, you must choose to present the appropriate statistics at the planned contrast stage.
Note 3: Check the marking rubric to see how this question is graded.
Note 4: See the Modules 8 and 9 content for sample reports.
Task C: Report (37%)
In a new study, the researchers are interested in investigating the differences in mental health scores for the different groups of people classified according to the overall score for education/employability (low, moderate, and high). Further, they would like to include pre-employment medical status (yes or no) as an additional variable.
This new study consists of the following hypotheses:
‘high education category’ will have lower mental health scores than the ‘moderate education category’.
‘high education category’ will have lower mental health scores than the ‘low education category’.
these differences in mental health scores will be greater in people who ‘did not pass a pre-employment medical’ compared to those ‘who did pass a pre-employment medical’.
Use the data in the Assignment 3: Workbook 2 data file to carry out the appropriate analyses to address these hypotheses and write a report of your findings. For this task, use a Figure when reporting the descriiptive statistics.
In addition, consider the following notes:
Note 1: Assume that the assumption of normality has been met. 
Note 2: Based on the result of Levene’s test statistic, you must choose to present the appropriate statistics at the planned contrast stage.
Note 3: See the answer sheet document for an example of how to structure this question.

Complete the homework questions from the attachments I included.
The directions are in included in the document called statistics J1 and all the answers should be submitted within this word document. This includes copy and pasting a table as necessary per directions
Excel documents are included to generate the answer.
Included is also a definition list in case the headers are not self explanatory
4 attachment total

Complete the homework questions from the attachments I included.
The directions are in included in the document called statistics J1 and all the answers should be submitted within this word document. This includes copy and pasting a table as necessary per directions
Excel documents are included to generate the answer.
Included is also a definition list in case the headers are not self explanatory
4 attachment total

I have completed the first task, the B task has already had an ANOVA run, and the final task requires an ANOVA (with interaction). I need Task B completed with a report and appropriate tables in APA 7 format, (TABLES MUST BE CREATED IN WORD), and Task C will require a full statistical analysis through SPSS with a report. I have attached a word file which shows a High Distinction level of report, please use this as a guide for the remainder of the workbook.
Task B: Report (33%)
After examining their results (from Task A), the researchers were interested in including an additional variable into their model: employment status. This new study consists of the following hypotheses:
‘very high and high substance users’ would have higher stress levels than ‘moderate and low substance users’.
‘moderate substance users’ would have higher levels of stress levels than ‘low substance users’, and
these differences in stress levels are affected by employment status.
Use the Assignment 3: Workbook 2 data file to carry out the appropriate analyses to address these hypotheses and write a new report of your findings (not a continuation of Task A’s report). For this task, use a table when reporting the descriiptive statistics.
In addition, consider the following notes: 
Note 1: Assume that the assumption of normality has been met.
Note 2: Based on the result of Levene’s test statistic, you must choose to present the appropriate statistics at the planned contrast stage.
Note 3: Check the marking rubric to see how this question is graded.
Note 4: See the Modules 8 and 9 content for sample reports.
Task C: Report (37%)
In a new study, the researchers are interested in investigating the differences in mental health scores for the different groups of people classified according to the overall score for education/employability (low, moderate, and high). Further, they would like to include pre-employment medical status (yes or no) as an additional variable.
This new study consists of the following hypotheses:
‘high education category’ will have lower mental health scores than the ‘moderate education category’.
‘high education category’ will have lower mental health scores than the ‘low education category’.
these differences in mental health scores will be greater in people who ‘did not pass a pre-employment medical’ compared to those ‘who did pass a pre-employment medical’.
Use the data in the Assignment 3: Workbook 2 data file to carry out the appropriate analyses to address these hypotheses and write a report of your findings. For this task, use a Figure when reporting the descriiptive statistics.
In addition, consider the following notes:
Note 1: Assume that the assumption of normality has been met. 
Note 2: Based on the result of Levene’s test statistic, you must choose to present the appropriate statistics at the planned contrast stage.
Note 3: See the answer sheet document for an example of how to structure this question.

Statistical software assignment includes two sections in which you will do the following:
1. Create two histograms.
2. Calculate measures of central tendency and dispersion.
See the attached step-by-step instructions.

Assignment 9: Conduct Correlation and Multiple Regression Results Using SPSS
In this assignment you will conduct a Pearson’s correlation and a multiple regression. The first analysis provides us an estimate of the magnitude and direction of the relationship between two variables measured at the interval or ratio level (Pearson’s correlation ranges from -1 to 1). The second analysis allows us to predict scores on a continuous dependent variable using two or more independent variables (these can be measured at any of the four levels).
You will use the SPSS Dataset.Therapists.sav file, which contains these seven variables:
(a) ID (Each participant’s identification number),
(b) Gender (Gender of participant: 1. Female, 2. Male)
(c) Age (Participant’s age)
(d) Long.Th (How long participant has provided therapy)
(e) Model (Participant’s preferred model of therapy: 1. Bowen Family Systems, 2. Narrative, 3. Solution-Focused, 4. Integrative)
(f) CPS (Discussed in the Week 5 SPSS Assignment)
(g) LSVS (Discussed in the Week 5 SPSS Assignment)
Part 1. Pearson’s Correlation
You will obtain a correlation matrix for the following four variables: Age, Long.Th, CPS, and LSVS.
a. Conduct the correlational analysis (refer to the SPSS example in the Correlational Design: Two Variables section in Chapter 10 -p. 166- in the Schwartz et al. text). Briefly explain why you do not have dependent nor independent variables in a correlational analysis.
b. Report the results of the correlational analysis in APA format (model your language after the example in the Schwartz et al. text).
c. A correlational analysis with four variables results in six unique coefficients. You will note that a correlational table could be folded diagonally along the left to right diagonal axis (all the 1s), with each triangular half being mirror images of each other. Explain why (a) the diagonal contains all 1s, and (b) each triangle is a mirror image of the other.
d. How many of these six correlations were statistically significant? Pick three of them and explain what you understand about the relationship between these specific variables.
Part 2. Multiple Regression
You will conduct a multiple regression using the following four variables: Gender, Long.Th, CPS, and LSVS.
a. Conduct the correlational analysis (refer to the SPSS example in the Prediction with Several Variables: Multiple Linear Regression section in Chapter 10 – p. 184 – in the Schwartz et al. text). Your dependent variable are the CPS scores, while your three independent variables are Gender, Long.Th, and LSVS scores.
A Venn diagram that provides a visual depiction of what you are exploring with this analysis follows:

Caption: A Venn diagram illustrates how the three independent variables in this regression analysis overlap with the dependent variable, CPS. The area represented by where all four variables overlap reflects the amount of variance in CPS scores explained by Gender, Long.Th, and LSVS scores (combined).
b. Report the results of the regression analysis in APA format (model your language after the example in the Schwartz et al. text)
Regression analyses provide a wealth of information about the variables include in the analysis.
c. Identify which variables were significant individual predictors of variance in CPS scores (changes in the value of that variable were associated with changes in CPS scores). How did you know they were significant? Describe any significant relationships in your own words (e.g., “as variable X went up or down, scores on the CPS went up or down”).
d. What percent of variance in CPS scores was explained by the combination of the three independent variables?
e. Write a paragraph identifying what you would share with a layperson with minimal knowledge of statistics what you learned from this analysis?

Researchers collected data to investigate how students’ study hours, stress levels, and amount of sleep impact their final grades in a college-level Statistics course. The variables in the dataset are defined for you below