Discuss the assumptions of the independent samples t-test and how they have been met.

I will need to give excess to my Capella University password to access the assignment in Unit 8. Assignment 8 has many ste3ps to it and links the writer will need to open to do the Instructions:Parametric Statistical AnalysesFor this assignment, you will again present data analyses in a paper, based on the Riverbend City: Community Action Center (CAC) scenario and the data sets linked in the Resources. You will conduct three parametric statistical tests: an independent samples t-test, an ANOVA (analysis of variance), and a Pearson’s product-moment correlation coefficient test. As with the nonparametric tests you completed for the Unit 5 assignment, you will have to:Conduct the statistical tests.Present the descriptive data in a visual (table, chart, or graph) and narrative (paragraph) format.Ensure you meet the assumptions for each statistical test.Interpret the results of your statistical analyses. The interpretation should also be presented in paragraph form.Use the following instructions for each statistical test and divide your paper into sections according to these three headings. Just as with the previous assignment, you should have one section for each analysis.Independent Samples t-TestThere is concern that critical psychological problems, such as suicidal ideation, are addressed immediately among teens who present for services at the Riverbend City CAC. Some providers are wondering if LGBT youth should receive additional screening, since they have been found to be at risk for suicidal ideation (Aranmolate, 2017), especially if they have been rejected by their families, which may be more likely for homeless teens. You are tasked with conducting an analysis to see if the providers’ concerns are reflected in the data.Part of the general assessment for all teens who come for services is a suicidal ideation scale (SIS). You decide to compare the mean (average) SIS scores for LGBT teens to non-LGBT teens. You decide that the most parsimonious analysis for this is an independent samples t-test.Conduct a statistical test to address this problem, based on the u08a1 Independent Samplest-Test Data file. The independent variable is the type of teen (one group is LGBT; the other group is non-LGBT), and the dependent variable is the mean SIS score for each group.Address the following in this section of the paper:Present descriptive tables, charts, or graphs of the data. Discuss the results in narrative format.Explain why an independent samples t-test is appropriate for this analysis.Discuss the assumptions of the independent samples t-test and how they have been met.Present the power analysis for the t-test.Present the results of thet-test.Present the significance testing of the t-test results.Provide an interpretation of the results and significance testing in narrative format.ReferenceAranmolate, R., Bogan, D. R., Hoard, T., Mawson, A. R. (2017). Suicide risk factors among LGBTQ youth: Review. JSM Schizophrenia 2(2), 1011–1015.One-Way Analysis of Variance (ANOVA)Some of the Homeless Teens Program providers think it is a good idea to be concerned about specific groups of teens, beyond the groups of LGBT teens and non-LGBT teens. Riverbend City is a diverse community, so they are concerned about cultural differences. They want to know about depression scores in general, rather than focusing on suicidal ideation. You decide the most appropriate analysis now is an ANOVA.Conduct a statistical test to address this problem, based on the u08a1 ANOVA Data file. The three main racial or ethnic groups in Riverbend City are: African American (Column 1 in the Excel file), Caucasian (Column 2 in the Excel file), and Latino/Hispanic (Column 3 in the Excel file). Their mean SIS scores will be compared.Address the following in this section of the paper:Present descriptive tables, charts, or graphs of the data. Discuss the results in narrative format.Explain why an ANOVA is appropriate for this analysis.Discuss the assumptions of the ANOVA and how they have been met.Present the power analysis for the ANOVA.Present the results of the ANOVA.Present the significance testing of the ANOVA results.Provide an interpretation of the results and significance testing in narrative format.Pearson’s Product Moment Correlation CoefficientAnother issue that some of the Homeless Teens Program providers are raising is whether or not priority should be given to younger teens. It seems logical that the younger teens would be struggling more with being homeless, but is that necessarily the case? You decide to look at the data to see if this is, indeed, the case, by conducting a Pearson’s correlation. You are going to look at the correlation to the teens’ ages and their scores on overall mental health scale that provides a global score.Conduct a statistical test to address this problem, based on the u08a1 Pearson’s Correlation Coefficient Data file. The independent variable is age; the dependent variable is the global score.Address the following in this section of the paper:Present descriptive tables, charts, or graphs of the data. Discuss the results in narrative format.Explain why a Pearson’s correlation is appropriate for this analysis.Discuss the assumptions of the Pearson’s correlation and how they have been met.Present the power analysis for the Pearson’s correlation.Present the results of the Pearson’s correlation.Present the significance testing of the Pearson’s correlation.Provide an interpretation of the results and significance testing in narrative format.Submission RequirementsWritten communication: Written communication should be free of errors that detract from the overall message.APA style: Use current APA style and format for presenting your results, including in-text presentation of statistics. Refer to APA Style Central for guidance in using proper APA style. See the APA Style and Format section of the Writing Center for instructions on accessing and using APA Style Central.File format: Submit your paper as a Word document, with your charts, tables, and/or graphs included in the content.Font and font size: Times New Roman, 12-point.Length: This assignment should be approximately 4–6 pages in length.