How to calculate t test in excel mac

Then drag the cell to get the standard deviation for Column2 as well:. Now we have some basic descriptive information about these two columns, but what about statistical significance?

Set Up the Worksheet

This function requires four arguments. The first two are two arrays columns or rows you want to compare. The third argument is whether you want to use a 1- or 2-tailed test. Finally, the fourth argument is what type of t-test Excel offers 3 options you want. As seen below, we'll use B2: B21 as our first array and C2: C21 as our second array.

Let's go with 2-tails and call for a type 2 t-test more information about types can be found here:. For all of them I would use the same approach, ie. I hope these information are useful. Dear Charles, I find your tutorials and explanations really helpful. However, I have some issues choosing an appropriate statistical test for my work. I hope you can help me.

I have teeth samples that I have separated on dentine and enamel, from two different geographic places and I have some life habits information from patients. Basically, I want to compare results between dentine and enamel in general and then based on the origin and life habits. Which test should I used? Since I have less then 30 samples, I thought that t-test wouldbe appropriate. My null hypothesis would be that there is difference between tooth components in general; difference in toothe components based on origin; based on life habits.

Is this a right approach? If you use a t test, you need to decide between a two independent sample t test and a paired samples t test. The latter would be more appropriate when the tooth components are in the same tooth. Are you going to perform multiple tests, one for each life habit under consideration or do you have some general overarching way of determining this e. In summary, I would need to understand the scenario better to give a definitive answer to your question.

As a project for class, I am conducting a t-test on data retrieved from a survey.

I used a t-test assuming equal variances in excel with a hypothesized mean difference of 0. The test itself was easy to administer, deciphering the output is another story. Namely the following: My question is does the data prove that? This is different from what your intuition is suggesting. I see that you have conducted a two sample t test, although you are referencing a paired t test. It is important to choose the correct test.

E-comm Physical Mean 7. This is the first one I used, the one approved was a paired sample. I was under the impression that because my hypothesis did not assume that E-commerce was greater or less than that it would be a one-tailed test as I was only testing one direction- only greater. Am I wrong on this? This is the test I am to use in my paper, "paired sample" was approved and the three available under data analysis in excel threw me a curve. I am working on my Master Thesis and I have a question about this test if you can help me.

I used Bonferroni Post Hoc test to find if the differences between the 3 values are significant. I could do the same and compare every value with each other with Paired T Test. This test gives me much different p values than bonferroni. Paired T-test in this case whould be valid? I use TOPSIS method for ranking a set of patients, but I got two different ranking one form internal and theother from external aggregation.

How to use T test in this case? Regarding the t test, what hypothesis are trying to test? Excel provides the T. This is described on the Real Statistics website. Our engineering team desinged a new test stand for a specific test we have leak test which suppose to be better. They have asked us Quality to run the test for each tested unit in both tests and record data. Haim, Some potential approaches are: I have a question about the use of the paired t-test. I used a survey with 80 respondents employees of that company.

I used a scale from 1 not important to 5 very important. Perceived importance: Desired importance: Examples of items: Annelien, If each respondent gives one rating for all 21 items together , then the paired t test seems appropriate provided the assumptions for the test are met. Hi, I was wondering how you would do a power calculation on an unpaired t-test assuming unequal variances? Momo, This is covered on the following webpage: I want to check if the amount of fluid a person needs predicted by a formula and the amount a person has actually had are similar.

What test should I use to see if the formula works? I am not able to give a definitive answer without more information. Possible approaches are the paired t test, Wilocoxon signed ranks test or even goodness of fit approaches Anderson-Darling test. Hello Charles, Firstly thank you for the wonderful article. I have a small doubt for you. I have percentage A P1 prior to the intervention and P2 after the intervention. I can calculate percentage change but How do i know if the percentage change calculated is significant or not? Please do let me know at the earliest. You can use the paired t test for this sort of situation provided the assumptions are satisfied.

See referenced webpage for more details. I have one question for you: So…is this a paired t-test and if yes should I somehow factor in the sample size estimation the correlation between the two matched samples? Bruno, Provided you have accounted for all the relevant variability factors in selecting your matched pairs, you should be able to use a paired t test. Thank you very much for the information.

I am using an inter-rater method to check the reliability the data of one participant of my sample was analyzed by me, then, the same one was analyzed by a colleague. The table, in the findings, includes five categories and the number of occurrences- with the percentage. Please help me. Reef, If I understand your description correctly, it seems that you can use Cohen-s kappa to compute the inter-rater reliability. Dear Charles, I have question regarding paired t-test. If the patients and their spouse will be compared for quality of life, anxiety, and depressiob, can it use paired t-test?

If it can, why? Can you give me explanation and citation related my question? Because I still new in statistical course, thank you. Berlian, Yes, you should use a paired t test to compare any trait between patients and their spouse. But the t test can only be used to compare one trait. The paired t test is used since patients and their spouse are not independent of each other. This is cited in numerous books and websites.

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Cecil, 1. For a 2 tailed test, due to symmetry of the t distribution, you can use the absolute value of the t statistic. Sorry Charles, I am really a dummy over statistics. And need more clarification from you. Hope you can help me more. Appreciate first. The scores of male and female are normal. Some ppl suspect that the average scores of male and female are different. How many possilbe outcome after we compare p-value against alpha? Cecil, The p-value of. There are two outcomes: If -crit Cecil, Based on the results you showed me in your earlier comment, the data does not provide sufficient evidence to support the argument that the average scores of the males and females are different.

Note that this is a two independent samples t test not a paired t test. The sample t test I provided before is not paired because df is not equal to How the data can provide sufficient evidence to support the argument that the average scores of the males and females are different.

Cecil, You comment is to the paired t test even though you are not performing a paired t test. You would use a paired t test if the male is the husband of each female. Please would you be able to help me understand my undergraduate dissertation statistics? I am not sure which test I should be doing but have been told to do paired T test. My dissertation is using a blood sample but testing it for two microRNA markers.

So blood sample 1 is tested for both marker 1 and marker 2. Would I be doing paired T test for this? As its not a before and after its two separate markers from the same blood sample. The key is that is each subject is tested for both markers. Dear Sir, Thanks for your wonderful website!! I would like a word of advice from you. Prawns are known to lose weight after fished out of water.

I want to check claim of a firm that its product weight increasing additive increases weight of prawn by better water retention. Following is plan of experiment. Please advice whether it is correct. All prawns for experiment will be harvested form same pond. All will be in weight range of 28 g to 30 g per individual. Hypothesis Ho: In this group, weight increasing additive is NOT added. Let us say, this is row A. With Treatment: In this group, weight increasing additive IS added.

Let us say this is row B. Both row A and row B are arranged simultaneously and kept undisturbed for minutes in the same room at same temperature. After minutes, water is drained and weight gain in percentage is noted in prawns in each tub.

How to Use the t-test Data Analysis Tool in Excel - dummies

For this arrangement, can we consider A1 and B1 as one pair of tubs, A2 and B2 as second pair and so on upto A15 and B Thus, if we apply t test for dependent samples, would it be correct for aim of our experiment? Or should I apply t test for independent samples? Vijay, If these tubs are separate, then you should use t test for independent samples.

Hello, Charles! First I would like to thank you for all these great information! I have one question. I have recently had an assignment and I would like to know if I was right. The assignment was to find out whether there was a significance increase from to in the number of visitors in Museum X. As for the data, I had the number of visitors for each month in and for each month in I have conducted a t. I would like to ask for your opinion. And if it is dependent sample, can it also be correct the t. Thank you! Alexia, Since the people being sampled in and are not the same, this is an independent sample test.

Sir, I am currently working on a questionnaire and I need to measure its reliability.

Run the T-Test

I hope you can answer my inquiry. If you need any addntl info I am willing to give it to you. Rinna, There are various ways of measuring the reliability of a questionnaire: See the following webpage for details: Reliability Charles. Charles, I am testing performance of a measurement device, then making a change to the device and repeating the tests on the same device.

The goal is to improve the performance of the device as indicated by increased precision lower standard deviation of the results on a series of tests after the change.

T.TEST function

Each test consists of 6 measurements; each test is repeated 3 times before and after the change. This results in 3 standard deviation values from the tests before the change and 3 standard deviation values from the tests after the change.

My question is, which t-test should I use to evaluate the results: Paired sample t-Test since it is the same measurement device? Two Sample t-Test equal variances if the variances of the two data sets is similar? Two Sample t-Test unequal variances if the variances of the two data sets is not similar?

In general, the specific test that you use depends on what you are trying to test. I want to know if the change in performance is statistically significant based on the t-Test. Which t-Test is the correct one to use? Bob, The website explains this, but in any case you would need to provide additional information before I could determine which test to use. I have conducted a pre-questionaire likert scale and a post questionnaire likert scale comparing confidence levels of a feedback session, both take 4 times over 4 weeks. What analysis do i use on SPSS? Many thanks. Alex, If you have 14 subjects with a score at time 0 and a score at time 1, then a paired t test could work.

If the normality assumption is violated which could be relevant with likert data , then you could use a Wicoxon signed-ranks test. If your situation is different, then I would need more information to provide an answer. White is a geriatric nursing practitioner. After his research proposal was approved by IRB at his institution, he randomly recruited patients from his clinics for the study.

Patients who agreed to participate in his study were randomly assigned to either the treatment group or the control group. Patients who were in the treatment group received the new treatment, and patients who were in the control group received regular treatment. These appears to be two independent groups to me however the re-measure of memory makes me want to used a paired t-test.

I am using spss software just confused on which test best fits. Misty, If you are just comparing patients in the control group with those in the treatment group after 4 weeks, then an independent t test is a fit. If you want to compare the before treatment with treatment after 4 weeks, then the paired t test is correct. If you want to combine both of these tests, then you need a two factor repeated measures Anova.

All of these tests are described on the Real Statistics website. Learn more Open your workbook in Microsoft Excel. Double-click the file on your computer to open it now.

Click an empty cell. Click the Formulas tab. Click More Functions. A menu will expand. Click Statistical. A list of relevant functions will appear. Scroll down and click T. A function arguments window will appear where you can enter data. Enter the first set of data. Click-and-drag your mouse cursor over the first range of data.

The range now appears in the minimized window. Enter the second set of data.