Introduction to Statistics covers the full inferential toolkit — hypothesis testing, confidence intervals, regression, and ANOVA — the most cross-listed course confirmed in the catalog.
What STAT 200 covers
An introduction to statistics. The objective is to assess the validity of statistical conclusions; organize, summarize, interpret, and present data using graphical and tabular representations; and apply principles of inferential statistics.
Focus is on selecting and applying appropriate statistical tests and determining reasonable inferences and predictions from a set of data. Topics include methods of sampling; percentiles; concepts of probability; probability distributions; normal, t-, and chi-square distributions; confidence intervals; hypothesis testing of one and two means; proportions; binomial experiments; sample size calculations; correlation; regression; and analysis of variance (ANOVA).
Typical STAT 200 assignments
Expect a problem set requiring you to select an appropriate statistical test for a given dataset, run it, and interpret the result in plain language.
Key topics in STAT 200
- Probability distributions (normal, t-, chi-square)
- Confidence intervals and hypothesis testing
- Correlation, regression, and ANOVA
- Sampling methods and sample size calculation
Writing tips for STAT 200
Follow the assignment instructions and rubric line by line
UMGC assignments for STAT 200 are graded against a specific rubric or grading criteria your instructor provides — every requirement has to be visibly addressed. Skipping a requirement because it seems minor is one of the most common reasons a strong submission loses points.
Justify which statistical test or method you chose, and why
STAT 200 typically has multiple statistical methods that could plausibly apply to a given dataset — the rubric usually wants you to name the specific test or method and briefly justify why it fits, not just report the output.
Interpret the result in plain language, not just statistical jargon
STAT 200 typically grades whether you can explain what a statistical result actually means for the real-world question being asked — reporting a p-value or confidence interval without a plain-language interpretation usually loses points.
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Why students seek help with STAT 200
Students sometimes select a statistical test without justifying why it fits the specific dataset and research question, which STAT 200 requires — the rubric typically wants that test-selection justification shown, not just the computed output.
How GradeEssays helps with STAT 200
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Place Your Order View All ServicesPrerequisites and course context
STAT 200 has no prerequisites, and is itself a prerequisite for ASTR 100 (alongside MATH 105 or a higher MATH/STAT course). Note: students may receive credit for only one of BEHS 202, BEHS 302, BMGT 230, ECON 321, GNST 201, MATH 111, MGMT 316, PSYC 200, SOCY 201, STAT 100, STAT 200, STAT 225, or STAT 230 — the largest cross-listing equivalency group confirmed anywhere in the UMGC catalog so far, spanning eight different discipline prefixes.
Related courses
Frequently asked questions
No, STAT 200 has no prerequisites. It is itself a prerequisite for ASTR 100 and several other courses across the catalog.
Students may receive credit for only one of BEHS 202, BEHS 302, BMGT 230, ECON 321, GNST 201, MATH 111, MGMT 316, PSYC 200, SOCY 201, STAT 100, STAT 200, STAT 225, or STAT 230 — 13 equivalent codes across eight disciplines, the largest such group confirmed anywhere in the catalog so far.