Order Number |
547690045343 |
Type of Project |
ESSAY |
Writer Level |
PHD VERIFIED |
Format |
APA |
Academic Sources |
10 |
Page Count |
3-12 PAGES |
Chapter 19 introduced the impact of the global digital divide. According to the authors, countries that lag behind the rest of the world’s ICT capabilities encounter difficulties at various levels. Discuss specific areas, both within and outside, eGovernance, in which citizens living in a country that lags behind the rest of the world in ICT capacity are lacking. Include in your discussion quality of life, sustainability, safety, affluence, and any other areas that you find of interest. Use at least 8-10 sentences to discuss this topic.
To complete this assignment, you must do the following:
ALL original posts and comments must be substantive. (I’m looking for about a paragraph – not just “I agree.”)
ANOVA With Sun Coast Remediation Data Set
Running head: INSERT TITLE HERE 1
INSERT TITLE HERE 3
Scholarly Activity
Using t Test and ANOVA With Sun Coast Remediation Data Set
Using the Sun Coast Remediation data set, perform an independent samples t Test, dependent samples t Test, and ANOVA, and interpret the results.
You will utilize Microsoft Excel Toolpak for this assignment.
Example:
. Restate the hypotheses.
. Provide data output results from Excel Toolpak.
. Interpret the t Test results
. Restate the hypotheses.
. Provide data output results from Excel Toolpak.
. Interpret the t Test results
. Restate the hypotheses.
. Provide data output results from Excel Toolpak.
. Interpret the ANOVA results.
Please follow the Scholarly Activity template to complete your assignment.
The title and reference pages do not count toward the page requirement for this assignment. This assignment should be no less than two pages in length, follow APA-style formatting and guidelines, and use references and citations as necessary.
Use at least 3 references.
Insert Title Here
Insert Your Name Here
Insert University Here
Data Analysis: Hypothesis Testing
Use the Sun Coast Remediation data set to conduct an independent samples t test, dependent samples (paired samples) t test, and ANOVA using the independent samples tab, paired samples tab, and ANOVA tab in the Sun Coast data file. The statistical output tables should be cut and pasted from Excel directly into the final project document.
Independent Samples t Test: Hypothesis Testing
Restate the null and alternative hypotheses, cut and paste the statistical output from Excel Toolpak, discuss the p value in relation to alpha, and explicitly accept or reject the null and alternative hypotheses.
See example below:
Ho4: There is no statistically significant difference in mean values for the DV between Group A (IV1) and Group B (IV2).
Ha4: There is a statistically significant difference in mean values for the DV between Group A (IV1) and Group B (IV2).
Provide data output results from Excel Toolpak here. See example below:
Interpret and explain the independent t test results below the Excel output here. Include alpha level, p value, and reject or accept the null hypothesis.
Example:
The results indicate that the mean values are lower for Group A; however, the results also indicate a p value of .37627 > .05. Therefore, the null hypothesis is accepted that there is no statistically significant difference in mean values of the DV between Group A (IV1) and Group B (IV2).
Dependent Samples (Paired Samples) t Test: Hypothesis Testing
Restate the hypotheses here.
Provide data output results from Excel Toolpak here.
Interpret and explain the dependent t test results below the Excel output here. Include alpha level, p value, and accept or reject the null and alternative hypotheses.
ANOVA: Hypothesis Testing
Restate the hypotheses here.
Provide data output results from Excel Toolpak here.
Interpret and explain the ANOVA results below the Excel output here. Include alpha level, p value, and accept or reject the null and alternative hypotheses.
References
Include references here using hanging indentations. Remember to remove this example.
Creswell, J. W., & Creswell, J. D. (2018). Research design: Qualitative, quantitative, and mixed methods approaches (5th ed.). Thousand Oaks, CA: Sage.