If you have been typing “do my statistics homework” or “do my stats homework” into a search bar, here is the short answer: post the assignment on HomeworkDoer, compare bids from qualified statistics tutors, and pick the one you trust to deliver a worked solution you can check line by line.
It works for intro and AP-style problem sets, business, psychology and nursing statistics, biostatistics, econometrics, and SPSS, R, STATA or Excel labs. If you need help with statistics homework that is due soon, or want online statistics homework help that explains the reasoning, you set the deadline and budget range and tutors respond with their price.
You get more than a list of numbers: a good solution states the hypotheses, checks assumptions, shows each calculation or the software output behind it, and explains the result in context, so you can learn from it and check your own answers. See how HomeworkDoer works for the full process.
What we can help with: stats homework topics and software
Stats homework help on HomeworkDoer runs from a first statistics course to graduate research methods.
Topics and courses
- Descriptive statistics: mean, median, variance, standard deviation, IQR, z-scores, box plots and histograms.
- Probability: counting rules, conditional probability, Bayes’ theorem and expected value.
- Distributions: binomial, Poisson, normal and t, sampling distributions and the central limit theorem.
- Confidence intervals: for means, proportions and differences, plus sample-size calculations.
- Hypothesis testing: z- and t-tests, paired tests, proportions, p-values and power.
- Chi-square tests: goodness of fit and independence in contingency tables.
- ANOVA: one-way, two-way and repeated measures, with Tukey and other post-hoc tests.
- Correlation and regression: simple, multiple and logistic regression with residual diagnostics.
- Nonparametric tests: Mann-Whitney U, Wilcoxon signed-rank, Kruskal-Wallis and Spearman’s rho.
- Applied topics: forecasting, quality-control charts, sampling and experimental design.
Software and tools
- SPSS: Variable View set-up, menus or syntax, and APA-ready tables.
- R and RStudio: scripts, tidyverse, ggplot2 graphs and R Markdown reports.
- Excel: functions such as T.TEST and CORREL, the Analysis ToolPak, pivot tables and charts.
- STATA: do-files, log files and commands such as regress and logit.
- Minitab: session output and graphs for business and quality-control courses.
- Also: SAS, JASP and TI-84 calculator steps.
A worked example: two-sample t-test, step by step
Here is a typical intro statistics problem, laid out the way a tutor would solve it.
Problem. Some students in a course took optional weekly practice quizzes. The instructor randomly selected 8 students who took the quizzes and 8 who did not, and recorded their midterm scores. At α = 0.05, is there a significant difference between the mean midterm scores of the two groups?
| Group | Midterm scores |
|---|---|
| Quiz group (1) | 82, 90, 76, 88, 85, 79, 91, 85 |
| No-quiz group (2) | 75, 80, 72, 84, 78, 70, 81, 76 |
First, the summary statistics. SS is the sum of squared deviations from each group’s mean, and the sample variance is s2 = SS / (n − 1).
| Group | n | Mean | SS | s2 | s |
|---|---|---|---|---|---|
| Quiz | 8 | 84.5 | 194 | 27.71 | 5.26 |
| No quiz | 8 | 77.0 | 154 | 22.00 | 4.69 |
- State the hypotheses. H0: μ1 = μ2 and Ha: μ1 ≠ μ2. The question asks about any difference, so the test is two-tailed.
- Check the conditions. The samples are random and independent. With only 8 per group we need roughly normal data: there are no outliers, and Shapiro-Wilk tests give p = 0.75 and p = 0.98. The variance ratio is 27.71 ÷ 22.00 = 1.26, under the usual rule-of-thumb limit of 2, so a pooled t-test is reasonable.
- Pool the variances. sp2 = [(n1 − 1)s12 + (n2 − 1)s22] / (n1 + n2 − 2) = (194 + 154) / 14 = 348 / 14 = 24.86.
- Find the standard error. SE = √[sp2(1/n1 + 1/n2)] = √(24.86 × 0.25) = √6.214 = 2.493.
- Compute the test statistic. t = (84.5 − 77.0) / 2.493 = 3.01, with df = 8 + 8 − 2 = 14.
- Decide. For a two-tailed test at α = 0.05 with 14 df, the critical value is t0.025, 14 = 2.145. Since 3.01 > 2.145, reject H0. The exact two-tailed p-value is 0.0094.
- Build the 95% confidence interval. 7.5 ± 2.145 × 2.493 = 7.5 ± 5.35, so the interval for μ1 − μ2 is (2.15, 12.85). It does not contain 0, which agrees with the test.
Final answer: Reject H0. The quiz group scored 7.5 points higher on average, t(14) = 3.01, p = .009, 95% CI [2.15, 12.85], Cohen’s d ≈ 1.50. Because students chose whether to take the quizzes, this shows a difference, not proof that the quizzes caused it, a caveat instructors often look for.
The same result, checked in software:
# R
quiz <- c(82, 90, 76, 88, 85, 79, 91, 85)
no_quiz <- c(75, 80, 72, 84, 78, 70, 81, 76)
t.test(quiz, no_quiz, var.equal = TRUE)
# t = 3.0086, df = 14, p-value = 0.00939
# Excel (scores in A2:A9 and B2:B9; 2 tails, type 2 = equal variances)
=T.TEST(A2:A9, B2:B9, 2, 2)
# returns 0.00939
In SPSS, use Analyze > Compare Means > Independent-Samples T Test (Compare Means and Proportions in newer versions) and read Levene’s test to choose the row. Welch’s version gives t = 3.01, df ≈ 13.8, p = 0.0095: the same conclusion.
Do my statistics homework: how it works
- Post the assignment. Add the questions, data files (.sav, .csv, .xlsx, .dta) and rubric, then choose the subject, academic level, deadline and a budget range. Mention your software version and any required method, such as TI-84 steps.
- Compare bids from statistics tutors. Qualified tutors send a price and a message. Check each tutor’s profile, rating and reviews, and chat with them about their approach before you choose.
- Pay and track progress. Pay for the bid you pick at checkout, then follow progress and message your tutor from your dashboard if you have extra files or questions.
- Review the solution. The tutor delivers through your dashboard. Check the work against your instructions and request a revision if anything is missing or unclear.
- Download and study it. Download the files and work through the steps. If a revision does not fix a problem, you can open a dispute; support is available by live chat.
Pricing: what it costs to pay for statistics homework
There is no fixed price list. When you post, you pick a budget range: $20–30, $30–60, $60–100, $100–150, $150–250, $250–450, $450–700, $700–1,000 or $1,000–2,000. Tutors then bid with their own price, so you see real quotes first and pay only for the bid you accept. These factors move the price most:
- Length: five textbook problems take less time than a full data-analysis report.
- Difficulty: a single t-test is quicker than multiple regression with diagnostics.
- Deadline: a 12-hour turnaround narrows the pool of available tutors and usually costs more than a week.
- Academic level: graduate and dissertation analysis needs deeper expertise than an intro course.
- Software and write-up: SPSS output with an APA-style results section takes longer than answers alone.
Posting early with everything attached (data, rubric, class examples) tends to attract more bids and more choice on price.
Why a statistics expert instead of an AI answer
AI tools produce confident-looking answers in seconds, but statistics homework is graded on judgment as much as arithmetic. A tutor who knows the subject can:
- Choose the right test from the design. Paired or independent, t or z, chi-square or Fisher’s exact test depends on how the data were collected, not on keywords in the question.
- Check assumptions on your real data. Outliers, normality, equal variances and expected counts get tested, with a fallback such as Welch’s test or Mann-Whitney U when one fails.
- Match your course’s method. Pooled or Welch, critical value or p-value, your textbook’s notation and rounding, APA style.
- Deliver real software output. SPSS output, R scripts, STATA do-files and Excel workbooks you can rerun, not a text description.
- Explain and stand behind the work. Answer follow-up questions in chat, and revise the work if it misses your instructions.
Hypothesis testing and confidence intervals
Intro courses spend much of the semester here, and lost points usually come from the same slips: running a one-tailed test when the question asks about “a difference,” using the wrong degrees of freedom, writing “accept H0” instead of “fail to reject H0,” or reading a 95% confidence interval as a 95% chance that the true mean lies inside that particular interval.
When a tutor works these problems, each answer follows the same structure: hypotheses in symbols and words, the conditions that justify the method, the test statistic or interval with every substitution shown, the p-value or critical value, and a conclusion in the context of the question. That makes the statistics homework answers easy to compare with your own attempt and reuse as a template. The same applies to proportion tests, paired data, Type I and II errors and power calculations.
Regression, correlation and ANOVA assignments
Regression assignments are graded on interpretation. A complete answer explains the slope in real units (“each extra hour of study is associated with 3.2 more points”), what R2 does and does not tell you, and whether the residual plots support a linear model. Multiple regression adds dummy variables, interactions and multicollinearity checks (VIF); logistic regression adds odds ratios.
ANOVA follows a similar pattern: the F-test says at least one mean differs, and a post-hoc test such as Tukey’s HSD says which ones. Two-way designs add interaction effects. If your request is “do my statistics assignment” for a regression or ANOVA project, upload the dataset itself rather than screenshots so the tutor can rerun everything. Econometrics work, such as panel data, instrumental variables and robust standard errors, is covered too; our economics homework help guide explains that side.
SPSS homework help, plus R, STATA and Excel
Software labs are graded on the files you hand in. Typical deliverables:
- SPSS: a correctly set-up data file (measurement levels and value labels), output tables, the syntax that produced them, and an APA-style write-up.
- R and RStudio: a commented script or R Markdown file that runs top to bottom, with ggplot2 graphs and knitted output if required.
- STATA: a do-file plus log, using commands such as
ttest,regressandlogit. - Excel: a workbook with live formulas (T.TEST, CORREL, LINEST) and Analysis ToolPak output rather than pasted values.
- Minitab: session output and graphs, common in business and quality-control courses.
Whether you need SPSS homework help with one crosstab, someone to do my SPSS homework for a full survey analysis, STATA homework help for a problem set, or RStudio homework help with a script that will not run, tell the tutor your software version and operating system: menus change between versions, and Excel for Mac enables the Analysis ToolPak from a different menu. If the request is “do my R homework,” say whether your course uses base R or the tidyverse.
Psychology, nursing and biostatistics homework
Psychology statistics leans on t-tests, factorial and repeated-measures ANOVA, correlation, Cronbach’s alpha for scale reliability and APA 7 reporting: italicized test symbols, exact p-values to two or three decimals (p = .009) and an effect size with every test. Our guide to psychology statistics help covers that course in more detail.
Nursing, public health and biology programs use biostatistics: relative risk and odds ratios, sensitivity and specificity of diagnostic tests, Kaplan-Meier survival curves, and the statistics sections of research articles you appraise for evidence-based practice papers. These mix calculation with interpreting published results, so a tutor who knows the clinical context helps. See biostatistics assignment help for typical topics, and when you compare bids, look for tutors whose profiles mention your field.
Statistics projects, data analysis and dissertation chapters
In larger projects the hard part is deciding what to do. A semester project with your own survey or dataset means cleaning and coding the data, choosing a test for each research question, checking assumptions, and writing up results with tables and figures. A good tutor will tell you when your sample is too small for the planned analysis or when a nonparametric test is the honest choice.
For dissertations, the work typically includes a power analysis (for example in G*Power), the analysis plan in the methods chapter, and a results chapter that reports each hypothesis in order. If you are at that stage, read how to hire a statistician for your dissertation and review the main types of research methodology so your analysis plan matches your design. Choose a budget range that reflects the scope, and use chat to agree on deliverables before you accept a bid.
Get statistics homework help online today
Whether it is one confidence interval or a full SPSS project, post it with your data and instructions, compare a few bids, and pick the tutor whose profile and reviews fit your course. You see every price before you pay. Post your statistics assignment now and get a step-by-step solution you can learn from.

