Probability and Statistics > Reporting Statistics APA Style

APA style can be finicky. Trying to remember the very particular rules for spacing, italics and other formatting rules can be overwhelming if you’re also writing a fairly technical paper. My best advice is to write your paper and then edit it for grammar. Don’t worry about reporting statistics APA style until your paper is almost ready to submit for publication. Then go through your paper and make a second edit for statistical notation based on this list.

## 1. General tips for Reporting Statistics APA Style

- Use readable
**spacing**, placing a space after commas, variables and mathematical symbols. For example:**Correct**: r(55) = .49, p < .001**Incorrect**: r(55)=.49,p<.001.

APA

*suggests*using two spaces after periods to aid readability, but this is not required. - Don’t state
**formulas**for common statistics (e.g. variance, z-score). Similarly, don’t use references for statistics unless they are uncommon or the focus of your study. - Round
**decimals**to two places, with the exception of p-values (see p-values in the next section).

**If the decimal is less than one:**- Place a zero before the decimal point if the statistic can be greater than one (e.g. 0.26 lb).
- If number cannot be greater than one, leave out the decimal point (e.g. p = .015).

- All
**symbols**should be italicized:*t, F, z.*Exceptions: - Use an uppercase N for number in the total
**sample**(*N*= 45) and a lowercase*n*for a fraction of the sample (n = 20). - Place
**percentages**in parentheses. For example: “Almost a quarter of the sample (25.5%) was already infected with the virus.” - If you use a
**table**to report results, don’t duplicate the information in the text.

## 2. Reporting Specific Statistics in APA Style

**Confidence intervals**: For CIs, use brackets: 95% CIs [2.47, 2.99], [-5.1, 1.56], and [-3.43, 2.89]. If you are reporting a list of statistics within parentheses, you do not need to use brackets within the parentheses. For example (SD = 1.5, CI = -5, 5)

Use parentheses to enclose **degrees of freedom**. For example, t(10) = 2.16.

**P-values:** report the p-value exactly, unless it is less than .001. If less than that amount, the convention is to report it as: p < .001.

**Mean, Standard Deviation** (and similar single statistics): use parentheses: (*M *= 22, *SD* = 3.4).

## 3. Hypothesis Tests in APA Style

At the beginning of the results section, restated your hypothesis and then state if your results supported it. This should be followed by the data and statistics to support or reject the null hypothesis.

One-Way/Two-Way **ANOVA**: State the between-groups degrees of freedom, then state the within-groups degrees of freedom, followed by the F statistic and main effect was significant, *F*(1, 149) = 2.12, *p* = .02.”

**Chi-Square test of Independence:** Report degrees of freedom and sample size in parentheses, then the chi-square value, followed by the significance level. For example:

“Animal response to the stimuli did not differ by species, *Χ*^{2}(1, N = 75) = 0.89, *p* = .25.”

**T Tests**: Report the t-value and significance level as follows: *t*(54) = 5.43,

*p* < .001. What you put in the wording will differ slightly depending on if you have a one sample t-test, or a t-test for groups. Examples:

- One sample: “Younger teens woke up earlier (
*M*= 7:30,*SD*= .45) than teens in general.*t*(33) = 2.10,*p*= 0.31″ - Dependent/Independent samples: “Younger teens indicated a significant preference for video games (
*M*= 7.45,*SD*= 2.51) than books (*M*= 4.22,*SD*= 2.23),*t*(15) = 4.00,*p*< .001.”

Report **correlations **with degrees of freedom (N-2), followed by the significance level. For example: “The two sets of exam results are strongly correlated, r(55) = .49, p < .001.”

**References:**

Publication Manual of the American Psychological Association, (6th ed., 2nd printing).

Milan, JE, White, AA. Chegg Study, you can get step-by-step solutions to your questions from an expert in the field. Your first 30 minutes with a Chegg tutor is free!

*Statistical concepts explained visually* - Includes many concepts such as sample size, hypothesis tests, or logistic regression, explained by Stephanie Glen, founder of StatisticsHowTo.

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