Do My Liberty BUSI 820 Course for Me

Setting up data opens the course. Assignment 1 asks for variables to be defined, coded, entered and checked, and Assignment 2 for descriptive statistics, graphs and checks of normality and other assumptions.

Choosing tests follows. Assignment 3 asks for variables to be recoded or computed and for the right inferential test to be matched to each research question, the skill every later week depends on.

Testing association comes next: chi-square and cross-tabulation in Assignment 4, then correlation and bivariate regression in Assignment 5.

Comparing groups fills the second half: t tests and their nonparametric alternatives in Assignment 6, and analysis of variance with post hoc tests in Assignments 7 and 8.

Forums run every week on the chapter's concepts, and the faith and learning forum's thread and reply fall in weeks seven and eight, after Keller and Alsdorf have been read in the first three weeks.

Every assignment reuses earlier skills: data checks from week one, descriptive statistics from week two and test selection from week three appear again in each later analysis.

Chapter outlines accompany each reading and are worth skimming before each forum.

The textbook's examples use small business and education data sets, and the assignments follow the same pattern with new data.

Because the final two weeks share chapter ten, Assignment 8 often extends the ANOVA work of Assignment 7, for example to a factorial design with two independent variables.

Each week starts with the data file and instructions your section posts. The statistician reads the chapter's procedure, runs it in SPSS and saves the output in the format your instructor asks for.

Assumptions are checked before tests are reported. For a t test that means normality within groups and Levene's test for equal variances; for ANOVA the same checks plus a decision on post hoc tests if the F test is significant.

Answers follow APA statistical style, with the statistic, degrees of freedom, exact p value and effect size, then a sentence on what the result means for the business question.

Where a question asks which test to use, the answer explains the choice from the variables' levels of measurement and the question's form, the reasoning Assignment 3 trains.

Forum threads take one idea from the week, such as why a significant correlation does not show cause, and explain it with a business example; replies add a related point to a classmate's post.

Every output and write-up is checked by a second statistician before release.

When an assumption fails, the answer says so and uses the alternative the chapter recommends, such as a Kruskal-Wallis test in place of a one-way ANOVA.

Missing data are reported and handled as the chapter recommends, rather than silently dropped.

BUSI 820 coursework is done by a statistician or quantitative researcher with a doctorate who teaches research methods and uses SPSS in published studies.

They have taught the same procedures to graduate students, so they know which tables and values instructors expect to see.

They write results the way journals report them, which prepares you for the quantitative chapters of an applied doctoral project.

The same statistician handles the whole course, keeping style and decisions consistent from week to week.

Your identity stays with the coordinator.

They have checked many students' SPSS work, so they know the small errors that cost points, from mislabeled variables to unreported missing data.

A second statistician reviews each output and write-up before release.

They explain choices clearly, so the answers make sense even to a reader new to statistics.

Several have published survey-based business research, so the examples in forum posts come from real studies.

They keep a log of decisions across weeks, so a coding choice in Assignment 1 is honored in Assignment 8.

Week three is the turning point, when choosing the right test becomes part of the assignment.

Weeks seven and eight bring ANOVA, where post hoc tests and effect sizes are easy to leave out.

Every week asks for both an assignment and a forum, so there is no catch-up week.

Software issues, such as SPSS licenses or versions, can cost a day at the worst time.

Each of these is allowed for in the calendar.

Week one surprises many students: defining variables and entering data correctly takes longer than expected, and errors there carry through every later analysis.

Effect sizes are the most commonly omitted value; doctoral rubrics expect them with every inferential test.

The faith and learning forum arrives in the last two weeks, beside the ANOVA assignments, which makes the end of the course heavier than it looks.

Interpreting a non-significant result is harder than it looks; the answer must avoid claiming that no difference exists.

SPSS assignments reach you several days before each week closes, with output and answers.

Forum threads come early in the week and replies after classmates post.

The eight assignments are the main cost; forums are small additions.

Starting before week one costs least, and a midway start is priced from that week.

Each assignment is delivered with its output, any changed data file and the written answers in one package.

If your section posts data late, delivery moves with it and the coordinator keeps the deadline in view.

Revisions requested before an assignment's deadline are part of its line.

Questions about a delivered result can be asked through the coordinator at any time during the course.