Send the exact assignment or rubric from your classroom and a custom sample written to it lands in 24 to 48 hours, the first one free. MST-7000 is TESU’s Managerial Statistics course. It covers exploratory data analysis, probability rules and Bayes’ theorem, binomial and normal distributions, confidence intervals, hypothesis tests and sample size, tests comparing two means, chi-square tests and simple and multiple regression, with seven written assignments, a midterm and an original final study. Searches like "mst 7000 module 3 assignment example", "MST7000 sample paper", and "MST-7000 module samples" land on this page.
What MST-7000 is really about
Anderson, Sweeney and Williams’s Essentials of Modern Business Statistics with Microsoft Excel is the text, and its seven modules run from Descriptive Statistics and Probability through Distributions, Confidence Intervals and Hypothesis Testing, and Comparisons Involving Population Means to Chi-square Tests and Linear and Multiple Regression.
The written assignments ask for worked problems in Excel with interpretation, and the midterm by week 5 covers ten concepts from the first four weeks. The final project is an original, non-trivial observational study, proposed in 200 to 300 words by week 5 and approved by the mentor.
What MST-7000’s assessments ask for
Seven written assignments carry 35 percent, two live sessions 10 percent, the midterm 20 percent and the final project 35 percent. Each answer should show the Excel function used and say what the number means for a manager.
Where students lose points in MST-7000
Marks go on means reported for skewed data, conditional probabilities written backwards, z used where t belongs, p-values read as proof, equal variance tests chosen without a check, chi-square run on percentages and regression slopes read as causes.
The MST-7000 drawers
MST-7000 Module 1 assignment example
Written assignment: a sample of 60 orders from a composite online furniture retailer in Edison is summarized in Excel with mean, median, standard deviation, quartiles, skewness and a frequency table; four high orders are flagged by the IQR fences and one by z-score, and the memo explains why the median better describes a typical order. Full sample paper, read it free.
MST-7000 Module 2 assignment example
Written assignment: a crosstab of 1,200 furniture orders by carrier and damage gives marginal, joint and conditional probabilities, shows that damage and carrier are not independent, and Bayes' theorem shows that a warehouse inspection flag means only a 54 percent chance an item is damaged. Full sample paper, read it free.
MST-7000 Module 3 assignment example
Written assignment: the composite furniture retailer's 8 percent return rate is modeled with the binomial distribution for a batch of 20 orders, and delivery times with a normal distribution of mean 6.2 days and standard deviation 1.5; Excel gives the chance of three or more returns, the share of deliveries over nine days and a promise date covering 90 percent of orders. Full sample paper, read it free.
MST-7000 Module 4 assignment example
Written assignment: a 95 percent t interval estimates the composite furniture retailer's mean order value at $727 to $897, a one-tailed z test finds that a 10.25 percent return rate in 400 orders exceeds the 8 percent standard with p = 0.049, and sample sizes are computed for a tighter estimate, with a caution about reading a borderline p-value. Full sample paper, read it free.
MST-7000 Module 5 assignment example
Written assignment: delivery times for 45 regional carrier and 40 national carrier orders are compared with Welch's unequal variance t test in Excel; carrier B is faster by 0.7 days, t = 2.30, p = 0.024, with a 95 percent interval of 0.09 to 1.31 days, and the memo weighs the size of the difference against its cost. Full sample paper, read it free.
MST-7000 Module 6 assignment example
Written assignment: a goodness-of-fit test finds the composite furniture retailer's 700 orders are not spread evenly across the week (chi-square 14.48, df 6, p = 0.025), and an independence test finds return reasons depend on product category (chi-square 10.37, df 4, p = 0.035), with beds returned for not matching their pictures. Full sample paper, read it free.
MST-7000 Module 7 assignment example
Final project: an observational study of 150 delivered orders at the composite furniture retailer regresses customer satisfaction on delivery days, damage, order value and assembly service; delivery days alone explain 20 percent of satisfaction, the multiple model 41 percent, and each extra day costs 0.40 points holding the others constant. Full sample paper, read it free.
Your classroom shows something else?
Thomas Edison State University revises courses; module counts and deliverables shift between terms. Send what your classroom shows and the desk matches it exactly.
Using a MST-7000 sample the right way
Send your MST-7000 problem set or your project proposal, and a first custom sample comes back free inside 24-48h. Use it to see how each result is computed in Excel and explained, then work your own data.
How these samples are written
The seven MST-7000 samples here follow one composite retailer, so the damage rates found in Module 2 return in the carrier test of Module 5 and as a predictor in the final regression.
MST-7000 questions, answered
What textbook does MST-7000 use?
Anderson, Sweeney and Williams’s Essentials of Modern Business Statistics with Microsoft Excel, fifth edition.
What software does MST-7000 require?
Microsoft Excel with the Data Analysis ToolPak add-in.
What is the MST-7000 final project?
An original, non-trivial observational statistical study, with a 200 to 300 word proposal due by week 5.