STAT 200 at the University of Maryland Global Campus is a 3-credit introduction to statistics. UMGC describes the aim as assessing the validity of statistical conclusions, summarizing and presenting data, and applying inferential statistics.
The course is broad. It runs from sampling and graphs to probability, confidence intervals, hypothesis tests, correlation, regression and ANOVA. Most students find the hard part is not the arithmetic but choosing the right test and explaining the result in plain words.
Course at a Glance
| Item | Details |
|---|---|
| University | University of Maryland Global Campus |
| Course code | STAT 200 |
| Credits | 3 |
| Level | Undergraduate |
| Subject area | Statistics and probability |
| Credit overlap | UMGC lists several courses (including STAT 100, STAT 225 and STAT 230) of which you may receive credit for only one |
| Typical work | Problem sets, data analysis with software, written interpretation (general) |
What STAT 200 Covers
UMGC's description lists these topics:
| Topic | What you do with it |
|---|---|
| Sampling and percentiles | Judge how data was collected and locate values in a distribution |
| Probability and distributions | Use probability rules, the normal, t and chi-square distributions |
| Confidence intervals | Estimate a population value with a stated level of confidence |
| Hypothesis testing | Test one and two means and proportions, including binomial experiments |
| Sample size | Plan how much data is needed for a given precision |
| Correlation and regression | Measure and model relationships between variables |
| ANOVA | Compare means across more than two groups |
Key Concepts Explained
Confidence Intervals
An interval estimates a population mean from a sample. It is built from the sample mean, the standard error and a critical value, and it says how precisely the sample pins down the population value.
Invented illustration: A sample of 36 students has a mean study time of 52 minutes and a standard deviation of 9. The standard error is 9 / sqrt(36) = 1.5. With 35 degrees of freedom the 95% critical t value is about 2.03, so the margin of error is about 3.05 and the interval runs from about 48.9 to 55.0 minutes. Interpretation: we are 95% confident the true mean lies in that range.
Hypothesis Tests
A test starts with a null hypothesis, then asks how surprising the sample would be if that null were true. A small p-value means the sample is hard to explain by chance alone.
Same invented data: Test H0: the mean is 50. The test statistic is (52 - 50) / 1.5, about 1.33, giving a two-tailed p-value near 0.19. At a 5% significance level you do not reject H0. That is not proof that the mean is 50; the sample simply does not provide strong evidence against it.
Choosing a Test
Ask three questions: what type of variable is it, how many groups are being compared, and are the samples independent or paired? The answers narrow the choice among tests for means, proportions, association and ANOVA.
Typical Assignments and How to Approach Them
| Assignment type | What it tests | How to approach it |
|---|---|---|
| Descriptive analysis | Summaries and graphs | Report center, spread and shape, then choose a graph that suits the variable |
| Inference problems | Intervals and hypothesis tests | Write the hypotheses, check conditions, compute, then conclude in context |
| Regression and correlation | Relationships between variables | Describe direction and strength, interpret the slope, avoid claiming causation |
| Written interpretation | Communicating results | Lead with the finding, give the numbers, state limitations |
A Practical Way to Work Through Each Topic
Because the course moves from description to inference in a fixed order, each block depends on the one before it. A simple routine keeps the pieces connected.
| Block | Question to ask | Output you should produce |
|---|---|---|
| Data and sampling | How was the data gathered, and who is missing? | A sentence on bias and what the sample can represent |
| Describing data | What is typical, how spread out, what shape? | Summary numbers and a suitable graph |
| Probability | What is the chance of this outcome under a model? | A probability with the distribution named |
| Estimation | How precisely does the sample estimate the population? | An interval and its meaning in context |
| Testing | Is the sample consistent with the claim? | Hypotheses, statistic, p-value, decision |
| Relationships | Do variables move together, and how strongly? | Correlation or regression, with limits stated |
For sample size questions, remember that precision improves with the square root of the sample size, so halving the margin of error needs about four times as much data. That one idea explains many "how many people do we need" answers.
Where Students Get Stuck
- Picking the wrong test. Write down the variable type and design before you open any software.
- Misreading the p-value. It is not the probability that the null is true.
- Stopping at the number. A result without a sentence in context rarely earns full marks.
- Confusing correlation with causation. Say what the data can and cannot show.
Study Tips for STAT 200
- Make a one-page decision chart of tests and revisit it each week.
- Do a few problems by hand before relying on software, so you can sense when an output looks wrong.
- Write the conclusion sentence first, then check the numbers support it.
- Round only at the end to avoid drifting answers.
How We Help with STAT 200
Send the problem set, dataset, software output and your instructor's feedback. We can explain a method, prepare a worked model, or review your own solution for errors in test choice, calculation and interpretation. For broader support, see our statistics assignment help guide.
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Frequently Asked Questions
Yes. UMGC describes it as an introduction to statistics, covering descriptive methods through inference, regression and ANOVA.
UMGC lists it at 3 credits.
UMGC says you may receive credit for only one of a listed group that includes BEHS 202, BMGT 230, ECON 321, MATH 111, PSYC 200, SOCY 201, STAT 100, STAT 200, STAT 225 and STAT 230, among others.
The catalog lists no prerequisite in the course description. Algebra skills are enough for most of the work.
Most students say choosing the right procedure and interpreting results in words, rather than computing.
No. We tutor, explain and provide custom solutions; you do and submit your own work.