One-Sample t-Test Calculator. This calculator will conduct a complete one-sample t-test, given the sample mean, the sample size, the hypothesized mean, and the sample standard deviation. The results generated by the calculator include the t-statistic, the degrees of freedom, the critical t-values for both one-tailed (directional) and two-tailed (non-directional) hypotheses, and the one-tailed. * One-Sample t-Test Calculator*. Compute a complete one-sample t-test, given the sample size, the observed the sample mean, the hypothesized mean, and the sample standard deviation. The calculator computes the t-value, the degrees of freedom, the critical t-value and p-value for a one-tailed (directional) hypothesis, and the critical t-value and p-value for a two-tailed (non-directional. One Sample t-test Calculator. A one sample t-test is used to test whether or not the mean of a population is equal to some value. To perform a one sample t-test, simply fill in the information below and then click the Calculate button. Enter raw data Enter summary data x (sample mean) s (sample standard deviation) n (sample size) μ 0 (hypothesized population mean) t = 0.3232. df = 39. p. One Sample T-Test Calculator. Unknown standard deviation. Video Information Two Sample T Test. Tails: Significance level (α): Outliers: Effect: Effect type: Effect Size: Enter raw data or Paste excel data or enter summarized data (x̅, n, σ, S) below. Enter sample data. Header: You may change groups.

A one sample t test compares the mean with a hypothetical value. In most cases, the hypothetical value comes from theory. For example, if you express your data as 'percent of control', you can test whether the average differs significantly from 100. The hypothetical value can also come from previous data. For example, compare whether the mean systolic blood pressure differs from 135, a value determined in a previous study Welcome to our t-test calculator! Here you can not only easily perform one-sample t-tests, but also two-sample t-tests, as well as paired t-tests.Do you prefer to find the p-value from t-test, or would you rather find the t-test critical values? Well, this t-test calculator can do both! What does a t-test tell you

- e whether the mean diastolic blood pressure of a particular group differs from 85, a value deter
- Instructions: This calculator conducts a t-test for one population mean (\(\sigma\)), with unknown population standard deviation (\(\sigma\)), for which reason the sample standard deviation (s) is used instead. Please select the null and alternative hypotheses, type the hypothesized mean, the significance level, the sample mean, the sample standard deviation, and the sample size, and the results of the t-test will be displayed for you
- The paired t test tool calculates p-value, power, effect. Find outlietrs. Draw distribution chart and a histogram. The test uses T distribution . Paired T-Test Calculator. Dependent T test. Video Information T equal σ calculator T unequal σ calculator. Test calculation. If you enter raw data, the tool will run the Shapiro-Wilk normality test and calculate outliers, as part of the paired-t.
- One sample t-test calculator. The one sample t-test for mean is used to perform hypothesis testing problem for population mean when the population standard deviation is unknown. This calculator makes it easy to conduct one sample t-test for population mean
- Formula of one-sample t-test. The t-statistic can be calculated as follow: \[ t = \frac{m-\mu}{s/\sqrt{n}} \] where, m is the sample mean; n is the sample size; s is the sample standard deviation with \(n-1\) degrees of freedom \(\mu\) is the theoretical valu
- Interpreting One Sample t test Results. This calculator is designed to evaluate a statement about the mean of a population using a sample drawn from that population. We refer to this statement as the null hypothesis, a claim we would accept in the absence of other evidence. This occurs by accepting the alternate hypothesis, which should be a mutually exclusive claim. For example, in quality.

- Step 4: Finally, the formula for a one-sample t-test can be derived using the observed sample mean (step 1), the theoretical population means (step 1), sample standard deviation (step 2) and sample size (step 3) as shown below. t = ( x̄ - μ) / (s / √n) The formula for two-sample t-test can be derived by using the following steps
- e whether the students' average grades are significantly different from a.
- One Sample t-Test Example. QI Macros adds a new tab to Excel's menu. To conduct a t-test using QI Macros follow these steps: Let's say you want to know if the life of a light bulb is greater than 2,500 hours. Take your sample and input the data in Excel. Click and drag over the data to select it
- ed by the type of your sample or samples and how they are related to each other. t-test calculator one.
- Online calculator for calculating effect size and cohen's d from T test and df values. In statistical analysis, effect size is the measure of the strength of the relationship between the two variables and cohen's d is the difference between two means divided by standard deviation
- g a paired samples t-test. The formula to perform a paired samples t-test. The assumptions that should be met to perform a paired samples t-test

How to perform a one-sample t-test. This video takes you step-by-step through the calculations and explains how to use your result to draw a conclusion at t.. Our sample size n = 25. Step 2: Calculating the t-test statistic (one sample t-test) NOTE: There are three types of t-tests. There is the one sample t-test that compares a single sample to a known population value (this example). There is an independent samples t-test that compares two samples to each other. There is a paired data (also called correlated data) t-test that compares two samples. A one-sample t-test helps determine if the mean of a population is significantly different than a sample mean. Both the sample and population have the same variable measurement. Remember, in a one-sample t-test, we don't know the population standard deviation so we cannot use that in the following calculation. The equation for the t-statistic. In our enhanced one-sample t-test guide, we show you how to write up the results from your assumptions tests and one-sample t-test procedure if you need to report this in a dissertation/thesis, assignment or research report. We do this using the Harvard and APA styles. You can learn more about our enhanced content in our Features: Overview section * Example data*. Before performing the one-sample t-test, let's look at an example dataset. For instance, say we have collected cognitive test scores from a sample of students in Class A. The scores are marked from 0 to 100. We want to know if the scores on this test differ from the average score gained in the country. The average national score.

For this example: Single sample t test. Sample name: Systolic BP. Sample mean = 130.05. Population mean = 120. Sample size n = 20. Sample sd = 9.960316 95% confidence interval for mean difference = 5.388429 to 14.711571 df = 19. t = 4.512404 One sided P = .0001. Two sided P = .0002 Power (for 5% significance) = 98.71 * We could have calculated it ourselves from previously discussed results*. 5. Reporting a One-Sample T-Test. Regarding descriptive statistics, the very least we should report, is the mean, standard deviation and N on which these are based. Since these statistics don't say everything about the data, we personally like to include a histogram as well. We may report the t-test results by writing. In carrying out a one-sample t-test we make the assumption that the observations are randomly sampled from a well-characterized population and are independent of each other (i.e., that there is no clustering). In most cases, we can easily verify this assumption. In addition, we assume an approximately normal underlying distribution of change in Ki-67 with resveratrol. For large samples the t. Using the **t.test**() function. If you want to verify that your calculation is correct, R has a function **t.test**() that performs **T-tests** and calculates **T** confidence intervals for means. To get a **T** statistic, degrees of freedom of the sampling distribution, and the p-value we pass **t.test**() a vector of data

Get the free One Sample t-test Calculator widget for your website, blog, Wordpress, Blogger, or iGoogle. Find more Statistics & Data Analysis widgets in Wolfram|Alpha Single Sample T-Test Calculator. A single sample t-test compares the mean ( M) of a single sample of scores to a known or hypothetical population mean (µ). This means you need to input the value of your known (or hypothetical) mean and your sample scores. So, for example, if you wanted to find out whether the students from a particular fraternity. One-Sample t-Test Related Calculators. Below you will find descriptions and links to 13 different statistics calculators that are related to the free one-sample t-test calculator. The related calculators have been organized into categories in order to make your life a bit easier ** Hypothesis test calculator t-test calculator, chi-squared calculator, ANOVA, binominal test **. DATAtab allows you to perform hypothesis testing quickly and easily. Thanks to DATAtab's Auto-Assistant, you will be optimally supported in the test selection process and can quickly and easily select and execute the appropriate methods for testing your research hypotheses Now, we need to start by tricking Excel into calculating the one-sample t-test for us. Let's start by typing three things into the second column. In the first row, type the word Number (without quotation marks), which is our label. In the second and third row, type the number that you want to compare the data against. In the current example, we chose the number 80. So, type 80 (without quotation marks) into the second and third rows of the second column. Your Excel should.

- Formula: r = sqrt ( ( t 2 ) / ( ( t 2 ) + ( df * 1) ) ) d = ( t*2 ) / ( sqrt (df) ) Where, r = Effect Size, d = Cohen's d Value (Standardized Mean Difference), t = T Test Value, df = Degrees of Freedom. The effect size r is generally classified into small, medium and large
- Der T-Test prüft Mittelwertunterschiede in der Stichprobe gegen die Nullhypothese, dass die Mittelwerte für die beiden Gruppen in der Grundgesamtheit gleich sind, sich also nicht unterscheiden. 4 Kommentare Laura sagt: Mai 16, 2016 um 12:58 pm Uhr. Guten Tag, bei meinem berechneten Standard-T-Test ist der p-Wert 0. Was heißt das genau? <0,001 oder ein anderer Wert? Vielen Dank für diese.
- Calculate Sample Size Needed to Test 1 Mean: 1-Sample Equivalence. This calculator is useful when we wish to test whether a mean, $\mu$, is different from a gold standard reference value, $\mu_0$. For example, we may wish to test whether a new product is equivalent to an existing, industry standard product. Here, the 'burden of proof', so to.
- One Sample t test . An extension of the Z-test with a sample mean. Still comparing a sample mean to a population mean. But, we have the problem of an unknown and .; Both and are biased because samples are by their very nature, smaller than the population(s) they represent.; So, we apply a progressive correction (), to arrive at an unbiased estimate of the population variance
- The one-sample t-test compares a sample to a defined population. When we say defined population, we are saying that the parameters of the population are known. We typically define a population distribution in terms of central tendency and variability/dispersion. But, for a one-sample t-test, only the population m is known

- Using a Graphing Calculator to Calculate One-Sample t-test Press the Stat button. Scroll right to find the statistics tests. You've reached the end of your free preview. Want to read all 4 pages? TERM Fall '20; TAGS Calculation, Chi-square distribution, CHI SQUARE. Share this link with a friend: Copied! Students who viewed this also studied. Prev ; Next . 2 pages. Intro into Stats Homework.
- Student's t-test calculator for test of significance (hypothesis) for single mean, difference between two means & two equal sample sizes (paired t-test) by using t-statistic (t 0) & critical value of t (t e) for small samples of population in statistical surveys & experiments.This calculator is featured to generate the complete work for test of significance for small samples using one or two.
- getcalc.com's statistic calculator & formulas to estimate Z0 for Z-test, t0 for student's t-test, F0 for F-test & (χ²)0 for χ² test for sample mean, proportion, difference between two means or proportions hypothesis testing in statistics & probability experiments
- Introduction. After having written an article on the Student's t-test for two samples (independent and paired samples), I believe it is time to explain in details how to perform one sample t-tests by hand and in R.. One sample t-test is an important part of inferential statistics (probably one of the first statistical test that students learn)
- The online calculator performs one sample, two-sample and Welch. Actively helping customers, employees and the global community during the coronavirus SARS-CoV-2 outbreak. Learn more >> AAT Bioquest. Contact us . Order info. Quick order. Company Telephone: Fax: Hours: Monday to Friday 8:30 - 17:30 PST (GMT-8) Location: 520 Mercury Drive Sunnyvale, CA, USA 94085: Email us Sales: sales@aatbio.

To calculate an effect size, called Cohen's d, for the one-sample t-test you need to divide the mean difference by the standard deviation of the difference, as shown below. Note that, here: sd(x-mu) = sd(x) Power & Sample Size Calculator. Use this advanced sample size calculator to calculate the sample size required for a one-sample statistic, or for differences between two proportions or means (two independent samples). More than two groups supported for binomial data. Calculate power given sample size, alpha, and the minimum detectable effect (MDE, minimum effect of interest) Criterion: Calculate a one-sample t test in SPSS. Data: Riverbend City online news advertises that it is read longer than the national news. The mean for national news is 8 hours per week. The following sample of the Riverbend City online news readers is: 5, 7, 6, 2, 4, 8, 5, 4, 18, 21, 8, 7, 4, 5, 6. Instructions: Complete the following: Enter the data from Problem Set 3.5 into SPSS and name. This procedure provides sample size and power calculations for a one- or two-sided one-sample t-test when the effect size is specified rather than the means and variance. The details of procedure are given in Cohen (1988). In this design, a single population of independent, normally distributed data is sampled and its mean is compared to a specified quantity by forming the difference sca led.

To determine if there is a significant result in the one-sample t-test, the Sig. (2-tailed) value should be examined. In this example, a value of 0.003 is reported. Since this value is less than our desired significance threshold (P<0.05), we reject the null hypothesis and accept the alternative hypothesis. In other words, the Class A results on this test are significantly different from that of the national average ** h = ttest(x) returns a test decision for the null hypothesis that the data in x comes from a normal distribution with mean equal to zero and unknown variance, using the one-sample t-test**.The alternative hypothesis is that the population distribution does not have a mean equal to zero. The result h is 1 if the

To run the One Sample t Test, click Analyze > Compare Means > One-Sample T Test. Move the variable Height to the Test Variable(s) area. In the Test Value field, enter 66.5, which is the CDC's estimation of the average height of adults over 20. Click OK to run the One Sample t Test. Synta T-test uses means and standard deviations of two samples to make a comparison. The formula for T-test is given below: Where, = Mean of first set of values. = Mean of second set of values. = Standard deviation of first set of values. = Standard deviation of second set of values. = Total number of values in first set Each one sample t test is equivalent to a paired t test where the second sample contains only zeros. Thus assuming that your data is in the range A1:AZ1000 (i.e. 1,000 rows each containing 52 sample elements), place the formula =TTEST(A1:AZ1,0*A1:AZ1,2,1) in cell BA1. Thus cell BA will contain the p-value for the first sample. Now highlight the range BA1:BA1000 and press Ctrl-D. Column BA will. The one sample t-test is a statistical procedure used to determine whether a sample of observations could have been generated by a process with a specific mean.Suppose you are interested in determining whether an assembly line produces laptop computers that weigh five pounds. To test this hypothesis, you could collect a sample of laptop computers from the assembly line, measure their weights. The one-sample t-test is principally applied to pairs of observations, such as the results of crossover trials (see chapter 8), or for longitudinal data where the comparison is between baseline and follow-up values.The difference between the two observations is calculated in each pair, and the data set becomes a single sample. One-sample effect estimates and confidence intervals for paired.

Test whether a sample mean is significantly different than a test mean using the 1-sample t-test. The calculator uses the probabilities from the student t distribution. You can enter summarized data (mean, sd, n) or the raw values. Sample data is available Example 1: Hand calculation video. This video analyzes if college students get 7.25 hours of sleep, on average, based on a sample of students: Sample conclusion: After completing a one-sample t-test with t(df=122)= -3.99, which was more extreme than our critical value of -1.66, we find evidence to suggest that the mean number of hours of sleep that college students get is less than 7.25 hours.

* Two-Sample T-Test Calculator: We often want to know whether the means of two populations on some outcome differ*. For example, there are many questions in which we want to compare two categories of some categorical variable (e.g., compare males and females) or two populations receiving different treatments in context of an experiment. The two-sample t-test is a hypothesis test for answering. Performing Hypothesis Testing for One-sample t-tests in Excel 2016 . You should already have the Excel tutorial file open. 1. Copy a single continuous variable into a new sheet. In this case we will copy Phone Time. 2. Create a table as the one on the right in order to arrange the necessary information for calculating the t-statistic. 3.

One-sample t-test. This type of t-test examines whether the mean (average) of data from one group differs from the pre-specified value. 2. Two-sample t-test . This type of t-test helps you decide whether the means (averages) of two separate groups of data significantly differ from one another. 3. Paired t-test. A paired t-test is used when you survey one group of people twice with the same. T-Test formula. Statistical Test formulas list online One sample t-test (Not displayed in the figure) Unpaired two-sample t-test (Displayed in the figure) Paired sample t-test (Displayed in the figure) As mentioned, the differences that make these t-tests different from the other tests are the assumptions of our experiment: The data has to follow a continuous or ordinal scale. The data has to be randomly selected. The data should be normally.

One Sample t-test. Investigators wanted to determine whether children who were born very prematurely have poorer cognitive ability than children born at full term. To investigate they enrolled 100 children who had been born prematurely and measured their IQ in order to compare the sample mean to a normative IQ of 100. In essence, the normative IQ is a historical or external (μ 0). In the. One-sample t-test and z-test. Use the one-sample t-test or z-test to compare the average of a sample to a reference. Do it in Excel using the XLSTAT add-on statistical software. What are one-sample t- and z-tests. This tool is used to compare the average of a sample represented by µ with a reference value. When to use the Student's t-test or the z-test . Two parametric tests are possible but. One-Sample t Test In this example 83 University of Dayton students took the UCLA Loneliness Scale, version 3. The loneliness scale has a population mean of 40. Higher values on the scale reflect greater loneliness. The researcher wants to know if UD students are less lonely than people in general. 1. Step 1: Write the null and alternative. With this calculator, a user can enter up to 100 paired data samples. The paired t-test is used when the variable is numerical in nature (for example, the height of a person or the weight of a person) and the individuals in the sample are either paired up in some way (such as a husband and wife) or the same people are used twice (for example.

** One-sample t-test example **. In the following example, Brendon Small has his SNAP-Ed students keep diaries of what they eat for a week, and then calculate the daily sodium intake in milligrams. As a first step in the analysis, he wants to compare mean sodium intake by his students to the American Heart Association recommendation of 1500 mg Example 1: Calculate the power for a one-sample, two-tailed t-test with null hypothesis H 0: μ = 5 to detect an effect of size of d = .4 using a sample of size of n = 20. The result is shown in Figure 1. Figure 1 - Power of a one-sample t-test. Here we used the Real Statistics function NT_DIST. The Real Statistics Resource Pack also supplies the following function to calculate the power of. If you want to know more about Sample Size Calculator For 2 Sample T Test and . Please visit our website on Benchmark Six Sigma. Please visit our website on Benchmark Six Sigma. India - +91 9811370932, US - +1 513 657 933

One-Sample T-Test Calculator: Having calculated the t-statistic, compare the t-value with a standard table of t-values to determine whether the t-statistic reaches the threshold of statistical significance. Plugging in the values of t (.898) and n (number of cases = 25) yields a p-value of .378. Generally speaking, we require p-values of .05 or less in order to reject the null hypothesis. With. In the following example, we want to calculate the one sample t test in Excel. We want to check if the column Value means is significantly greater than 30. In the Data Analysis tool, there is no built-in option for one sample t test. Because of that we will create a Dummy column with dummy zero data and choose t-Test: Two-Sample Assuming.

A one-sample t-test is used to compare a single population to a standard value The test statistic is a number, calculated from a statistical test, used to find if your data could have occurred under the null hypothesis. 25. 1 comment. Rebecca Bevans (Scribbr-team) January 31, 2020 at 1:16 PM. Thanks for reading! Hope you found this article helpful. If anything is still unclear, or if you. t-Test Sample Size Calculator. Compute the minimum required total sample size and per-group sample size for a one-tailed or two-tailed t-test study, given the p-value, the expected effect size, and the statistical power level. Knowing if your sample is large enough to detect an expected or hypothesized effect is critical when conducting analytics studies that rely on t-tests How to Calculate a **One-Sample** **T-Test** For this example, I gat h ered 48 different songs by Avicii because I wanted to see if the duration of his songs are significantly different from each other This free online software (calculator) computes the one-sided t-test about the mean and associated p-value. Enter (or paste) your data delimited by hard returns. Send output to: Data : Alternative : Confidence : Null Hypothesis : Compute. Source code of R module : Top | Output | Charts | References: Cite this software as: Wessa P., 2017, One Sample Tests about the Mean (v1.0.4) in Free. Einstichproben-t-Test. Der Einstichproben-t-Test (engl. one-sample t-test, single sample t-test) wird dort angewendet, wo ein einziger Messwert für jede Versuchsperson aus einer einzigen Gruppe existiert und überprüft werden soll, ob der Mittelwert von einem bekannten Wert abweicht

This calculator should be used when the sampling units (e.g. the sampled individuals) in the two groups are independent. If you are comparing two measurements taken on the same sampling unit (e.g. blood pressure of an individual before and after a drug is administered) then the appropriate test is the paired t-test A one-sample t-test evaluates if a population mean is likely to be x: some hypothesized value. One-Sample T-Test Example. A school director thinks his students perform poorly due to low IQ scores. Now, most IQ tests have been calibrated to have a mean of 100 points in the general population. So the question is does the student population have a mean IQ score of 100? Now, our school has 1,114.

Calculate: |t| > 2.093 so we reject H 0. The 95% confidence limits around the mean are. 311.15 ± (2.093)(64.3929/√20) 311.15 ± 30.14 (281.01, 341.29) One Sample t-test Using SAS: proc ttest data =name h0 = μ 0 alpha = α; var var; run; SAS uses the stated α for the level of confidence (for example, α=0.05 will result in 95% confidence limits) For example, let's say that a company claims it only receives 20 consumer complaints on average a year. However, we believe that most likely it receives much more. In this case, the null hypothesis is the claimed hypothesis by the company, that the average complaints is 20 (μ=20). The alternative hypothesis is that μ > 20, which is what we suspect. So when we do our testing, we see which. P-value of a One-sided One-sample t Test. Ask Question Asked 3 years, 5 months ago. Active 3 years, 5 months ago. Viewed 2k times 2 $\begingroup$ John claims that the typical lifetime of a car in his shop with 10 years warranty, is significantly more than 10 years. To test the claim, 9 cars are randomly selected, with lifetimes recorded. Sample mean lifetime is 13.5 years, and sample standard. T-test is small sample test. It was developed by William Gosset in 1908. He published this test under the pen name of Student. Therefore, it is known as Student's t-test. For applying t-test, the value of t-statistic is computed. For this, the following formula is used.

Single Sample t-Test. This page will perform a t-test for the significance of the difference between the observed mean of a sample and a hypothetical mean of the population from which the sample is randomly drawn. Procedure: Entering Data Directly into the Data Entry Field: T After clicking the cursor into the text area labeled Data Entry, enter the values for the sample in sequence, pressing. The two sample Kolmogorov-Smirnov test is used to test whether two samples come from the same distribution Calculating one sample t test by hand. The procedure is very similar to the One Kolmogorov-Smirnov Test (see also Kolmogorov-Smirnov Test for Normality). Example 1: Determine whether the two samples on the left side of Figure 1 If two samples are provided, then we can pair the observation of one sample with the observation of another sample. This test can be applied in making observations on the identical sample before and after an event. T-test Table (One-tail & Two-tail) The t-test table is used to evaluate proportions combined with z-scores. This table is used to find the ratio for t-statistics. The t-distribution table displays the probability of t-values from a given value. The acquired probability is the t.

A one-sample t test revealed that participants in the NoPassage condition scored significantly above chance (M = 46.57, t(27) = 20.59, p < .001). PAIRED SAMPLES T-TEST . Repeated Measures Designs • Also called a within-subject or related or paired design -Entire experiment is conducted withineach subject/participant -Each individual participates in each condition of the experiment. Title: Microsoft Word - One Sample t-Test and CI 11.docx Author: Julian Parris Created Date: 2/9/2014 11:58:59 P The calculations for the Bonferroni correction factor are similar to those in Figure 5, While I can do them by hand in excel your web site alludes to the fact that the Add-In can perform this using the One Sample t-Test, but I don't fined that option in the Add-In. PS. Really appreciate your work. Reply. Charles says: October 14, 2016 at 9:16 pm Jeff, The one-sample t test is an option.

Again using site Graphpad Quickcalcs: One sample t test we can quickly obtain the p-value for our second hypothesis test: Steps Needed to Estimate a p-value for B 2 = -0.4 Click on the radio box containing Enter mean, SEM and N. Mean is the parameter value we estimated, SEM is the standard error, and N is the number of observations The standard effect size for a one-sample t-test is the difference between the sample mean and the null value in units of the sample standard deviation: $$ d = \frac{\bar x - \mu_0}{s} $$ The interpretation here is essentially the same as for the two-sample version of the standardized mean difference: it is the number of standard deviations that your distribution diverges on average Example: performing a t-test on the calculator Suppose that a marketing firm believes that people who are planning to purchase a new TV spend more than 7 days researching their purchase. They conduct a survey of 32 people who had recently purchased a TV and found that the mean time spent researching the purchase was 7.8 days with a standard deviation of 3.9 days

An independent samples t-test evaluates if 2 populations have equal means on some variable. If the population means are really equal, then the sample means will probably differ a little bit but not too much. Very different sample means are highly unlikely if the population means are equal. This sample outcome thus suggest that the population means weren't equal after all. The samples are. T-test online. To compare the difference between two means, two averages, two proportions or two counted numbers. The means are from two independent sample or from two groups in the same sample. A number of additional statistics for comparing two groups are further presented. Including number needed to treat (NNT), confidence intervals, chi-square analysis One-Sample t-test. Requirements: Normally distributed population, σ is unknown . Test for population mean. Hypothesis test. Formula: where is the sample mean, Δ is a specified value to be tested, s is the sample standard deviation, and n is the size of the sample. Look up the significance level of the z-value in the standard normal table (Table 2 in Statistics Tables). When the standard. 6.2 One-sample t-test: A new t-test. Now we are ready to talk about t-test. We will talk about three of them. We start with the one-sample t-test. Commonly, the one-sample t-test is used to estimate the chances that your sample came from a particular population. Specifically, you might want to know whether the mean that you found from your. Steps of One-Sample t-test. 1. State hypotheses: - Non-directional (two-tailed) test H 0: H 1: 2. State decision rules: - For df = N -1 = 15 - 1 = 14 and , critical t-value = 2.145 - If t obs > +2.145, or t obs < -2.145, reject null - If -2.145 t obs +2.145, do not reject null. 3. Determine for sample size: 4. Calculate t obs: 5. Compare.