Hi there, thank you for this useful forum, I try to follow the discussion above but haven’t found the answer for my own. Could you please help: I do experiments with 4 groups: a control and 3 different treatment conditions. Each groups has 5 variances (experiments were repeated 5 times). I just want to compare between 2 selective groups among those 4 groups (mostly between control and each treatment condition). And in the graph I indicate the p value between those 2 selected groups. So I think the statistic test should be unpaired t test, not one way ANOVA test. Is that right? if not, could you please teach me more? Thank you very much! […] What is the difference between ANOVA and t-test? […] Hi! I have a study with a drug supplementation at different time points (different samples) and a control group (with no drug supplementation). I was thinking a two way anova for my analysis (factors: drug- yes/no, time points as a factor) but the control group has no value in the time point. What should I do in this situation? […] Click to see full answer […] Hello. I am conducting a study on a knowledge score with three groups which will be taken a pre-test, then I did an intervention for each groups, and then they will be taken a post-test again. May I ask, what is the best test to use when we are dealing with a before and after data where there is three groups? hi, my research is about pretest and posttest performance of two experimental groups. should i use t-test or anova? Hi, I hope you can help me out. I have done a experiment with two groups with control variables. To compare the groups I have choose to use regression analysis. But to do the randomization check I have choosen to do a Anova, To be able to find out if an average value of a (control)variable differs between two groups. In this case, could the t-test worked just as good and why? ( my control variables: education level, age, gender). Thanks a lot!! Hello ,I want to know which test I should run I am comparing the accuracy and performance of conventional and rapid methods of milk quality tests Hello! I am interested in studying vaccine hesitancy. My design is a quasi-experimental pretest-posttest design with a comparison group. I have an intervention and a comparison group, and I’m going to be using a pre-and-post test for both groups. Would this be considered a paired t test or a repeated measures anova? Hello! I’m conducting a study (n=6) and want to look for correlations between the following: What test would I run? Many thanks! Hi, Patrick
Potentially quite useful. Good Afternoon, I am trying to find the appropriate test for my study. My dependent variable is depression and independent variable is social media use. Both of my levels of measurement are ordinal data. I’m also adding additional variables like gender, relationship status, and employment status
Good day! My groupmates and I are conducting a study to know the difference in level of maternal self-efficacy in relation to the mother’s birth order (first born, middle child, last born, only child). Can I use ANOVA for this? Thank you! Hi. Good day. In my study, I have a group of 5 people who took a pre-test, then I did an intervention, and then I took a post-test. I wanted to see, considering that I have 1 independent variable and 3 dependent variables. Attention and focus variables are my annoying variables that I measured before and after the intervention. Should I use T-test or ANOVA?
I have three different types of cells and each of them was split in exposed to
treatment and unexposed one (in triplicates). do I use a t test between each treated and untreated of one sample for each triplicates and then use Anova in order to compare the three cell types?
Pls wish to know the statistical difference between private and public sector workers on saving behaviour. Which statistical test will be appropriate
Hi, I’m working on a project aimed to investigate the effects of a drug on cancer cells. I treated the cells with 5 different increasing concentrations (20µm-1.0µm) for two time points (24 and 48-hours). Which test(s) should I conduct to statistically analyse the effect of drug concentration on cell viability, please?
Hello there! I would like to combine two datasets collected from two different sources (the particpants were not the same). I used the same survey (including all the measurements) for both data collections, how can the t-test result justify my decision of combining the two datasets? Note: I need a bigger N size, therefore combining both is my only option Thank you very much for your help!
Hi! Good day. I would like to ask if i should use T-test or ANOVA in determining the significant level of difference of the TEACHERS assessment as
to use of Marungko approach as to:
please can you help me on this topic. self-efficacy, problem solving capacity as correlate of mathematics academic performance of junior secondary school students. what can i use to analyse the data?
Hi. I have some clarification. I’m trying to see the relationship between Gender, Year level, GWA, Type of school and Communication apprehension. Am just wondering what applicable statistical method to use….Pearson or Treat and anova? Hope you can help me. Thanks in advance.
My study is about comparing grades obtained during face-to-face classes vs online distance learning. I need to know the significant difference: is t-test a better statistical tool than ANOVA?
Hello, I am trying to compare the effect of boric acid and citric acid in increasing concentrations(the two acids are tested at identical concentrations) to a control group to see whether or not such compounds have an inhibitory effect on bacterial growth. Would ANOVA be a suitable measure to see whether or not there is a statistically significant difference between the three groups or would this only be possible if the acids were tested at one compound? To perform statistical analysis would this mean i would only be able to do linear regression analysis separately on each acid’s results and compare their r2 values?
Hiii! I hope you can help me out.
Good day! I would like to ask what to use between T-test and Anova. We have an estimated 30 respondents(all of them are teachers)and we are looking if there are any significant difference between their demographic profile (sex, age, educational attainment, years of experience) and level of knowledge about Tpack.( Technological knowledge, Content Knowledge, Pedagogical Knowledge and so forth)
Hello, Is it possible for the p value of a t test and one way anova be different? I have 2 samples, one independent variable, the p value using t-test was 0.001 which should mean reject null, but when i ran an anova, i got another p value of 0.11. This has left me confused. A brief idea on my samples, these are for a conventional technology and then another for when it is intensified by adding a chemical. I assume the independent variable is the conventional technology. I used excel to do this. Hello! I have three conditions, if i run ANOVA, can I use a t-test as a pairwaise post-hoc analysis?
Hello.
Hi! my study is about an evaluation the efficacy of security measures to online fraud on selected banks. Am i gonna used t-test? and i am going to used it for my independent hypothesis is it correct?
If a t-test statistic is found to be not significant, then performing an ANOVA is recommended. What does this mean? Why would it make sense to run ANOVA for data that fit the criteria for t test?
Hi, I’m testing if gender affects protein concentration- do I use chi square/t test/ANOVA..? Thank you!
Hello, I am doing a one-group pretest/posttest program evaluation. All students will participate in a program and we will be using an indicator before and after participation to assess whether the program increases their employment readiness. WOuld a t-test or ANOVA be a more appropriate tool for analysis?
You’re amazing. Thank you! I think understand and am mentally pulling together some stats concepts I hadn’t considered before you responded. In the study we are working on, participants are listening to a total of three advertisements. They listen to one ad as assigned (10 listen to ad A first, 10 listen to ad B first, and 10 listen to ad C first) and then fill out a likest-scale evaluation of it. For example the first prompt asks if the ad was easy to understand and they rank from 1-5. Then they listen to a second ad and evaluate (those who listen to A first will now listen to B; those who listened to B first will now listen to C; those who listened to C first will now listen to A). Last, they will listen and evaluate the third ad. (Following that wa a qualitative interview, which is the heart of the project. We just wanted to be able to determine, if possible, whether or not the order of the ads influenced responses). Following what you said about power, “1-beta”, and .8 — if I understand, we need to determine Eta-squared for each prompt to to estimate the likelihood of the order accounting for the variance between the three treatments (order they listened to the ads, ABC, BCA, CAB). After running ANOVA for Likest-Scale responses (1-5) for our first prompt (“This ad was easy to understand”) against the treatment (order of ad delivery) we have the Sum Sqaure Between Groups = .867 and Total = 27.867. Then if we divide .867 by 27.867 = .031. That suggest the effect size is quite minimal and only accounts for .03% of the variance between the groups. Power would need to be .8 or higher in order to reject the null hypothesis, right? That would then mean we fail to reject the null hypothesis that order of ad delivery affected the evaluation scores. In our study that would be a good thing because it would be stronger if the likest-scale scores did not arise from the order in which they listened to them. We would need to run this for each prompt, I think. Does that seem correct? Thank you again. This was meant to be a qualitative study, but it was suddenly thrown at us to think about if the order they listened to the ad might account for the variance between them. It’s good that the prof pushes us to consider more than we were, but once he got irritated when I asked I started looking online and just kept getting confused with internet research. Reading some of your answers to others gave me hope because you have a knack of cutting through the clutter. <3
We have a concept test in which we did ABC, BCA and CAB testing to rule out order bias in responses. Total sample size is 30, with 10 in each treatment. Is ANOVA ok to use with such a small sample size? Or do we need to do nonparametric such as Kruskal-Wallis? The goal is simply to ascertain if the scale responses related to the order of the treatment delivery or not. In the ideal world we’d find that the order did not impact the evaluation scale choices. But if it did, we’d like to know it. Is ANOVA appropriate? I see that you’ve helped many others here and I’m hopeful you might have advice. I’ve been researching this for a few days and seem to get the answer that sample size isn’t important as long as it’s more than 3, but then others indicate low sample size is brought up as a problem with using ANOVA.
I’m confused about whether to run a t test or ANOVA
Hello! If I have 5 groups for my independent variable, could I still opt for t-tests by running them between two variables each time? My justification is that, while running an ANOVA yields a p-value >0.05, a t-test between two groups might turn out to have a p-value 0.05 eliminate the possibility that two of the groups have a statistically significant mean difference?
Good Day! Can you help me, what I will use if I would like to determine the significant differences between the profile of the respondents (age, sex, gender) and learning competencies (cognitive, affective, and psychomotor)?
Hello everyone, Can i ask what kind of ANOVA we will use in our study. Our study, has 2 dependent variable which are the 14th day and 28th day compressive strength of a concrete who has a mixture of 0%, 5%, and 10%. Each mixture has 2 samples to average the strength separately for 14th day and 28th day giving 6 samples for 14th day and another 6 samples for 28th day giving a total of 12 samples of all mixtures. And we are confuse what statistical treatment we are going to use if we are seperately solve the two dependent variable and what anova we will be performing. I hope somebody will enlighten us. Thank you
Hello, can you help me, please.
I have 2 groups, 1 control and 1 experiment. A pre and post-test will be conducted and a t-test will show the difference in the performance. What if I switch the treatment after a few weeks?
what are the diagnostics tests to test when using ANOVA?
Hi, I have a question. I have 10 same protein samples, each protein has concentration of 2g/L, but 3 proteins have odd concentration (which isn’t 2g/L). what statistical test should I do on each of my 3 proteins?
hello, I would like to ask for an opinion for which test should I use… I have patients from 7 differnt groups with diffrent drug concentraion in their blood who did respond to a treatment after one year are significally different from patient who did not respond to the same treatment…(hope I’m clear). Which test do I choose, T paired or ANOVA? Thank you!
Hello again! The research study is actually about the Covid-19 implications on our lives. So I used stratified sampling wherein I divided my population into subgroups such as their age,education religion,employment and etc. So in
this statistical test, I want to know if there is a difference in the views/perspective of respondents( about covid 19) based on their sociodemographics background. I used ANOVA becuase t-test is limited to 2 groups only while ANOVA can be used when you have a categorical independent variable (with two or more categories) and a normally distributed interval dependent variable. Please enlighten me. Thanks you so muchhhh Hi, I have a question. What can I use to know the difference in the views/perspective of respondents based on their sociodemographic background? T-test or ANOVA? I’m not sure but I think I have to use ANOVA since the independent variable (sociodemographic )has 2 or more categories. Can someone help me please? Thank you.
Hi, Hello! I have 2 diseased groups (experimental vs control). The experimental group received treatment and the control didn’t. My aim is to see how effective is the drug against the virus. I was thinking of doing 2 independent t-tests of the viral load, before and after 24h (where the experimental group received the drug and the control did not). But if I do this I am not really comparing the 2 groups. Do you have any suggestions? Thank you 🙂
I have to conduct both a t-test and anova test from a given subset of data. For the t test, I used the variable if people exercised (yes/no) comparing average calories in each group (of the yes/no if people exercised). Then, for the anova test I used different forms of exercise compared to amount
of carbs each person ate depending on their exercise form. I understand to use a t test with 2 variables (the yes and no) and the anova for 3 more (multiple exercise forms).
I have 1 experiment with 4 condition
treated as follows: a) I would like to present the data that is only 1 representative experiment of 3 experiment. b) I would like to assess the
statistically difference specificically between just some TWO groups (e.g.1vs2, 1vs3, 1vs4) (but present 4 condition in 1 graph). Thank you so much in advance for your help. REPLY b) The post-hoc analysis of ANOVA will be appropriate. During ANOVA, only ONE pair of data is analyzed at a time, which means that the p-value has to be corrected for the multiple possible comparisons. The post-hoc analysis of ANOVA takes this correction into account. The Tukey test compares every mean with every other mean. The Dunnett test compares every mean to a control mean.
Hi Thank you for this but still I want to raise a question for me to fully understand when to use Anova or T-test.
I
have 1 experiment with 4 condition treated as follows: a) I would like to present the data that is only 1 representative experiment of 3 experiment. b) I would like to assess the statistically difference specificically between just some TWO groups (e.g.1vs2, 1vs3, 1vs4) (but present 4 condition in 1 graph). Thank you so much in advance for your help.
Hi, I am doing a PET/MRI imaging study on Parkinson’s patients (PD) and healthy controls (HC). Each participant is completing 4 different tasks during 4 separate PET/MRI scans, so we can collect both blood flow data (PET) and activation data (MRI) simultaneously for each task (So from one scan you get 2 different data values per person, PET data and MRI data). The 4 tasks are various movement/ cognitive tasks. Is there such thing as a 2x 4 repeated measures test that can compare the two populations (PD and HC) one each of the 4 tasks for both PET and MRI data ? Thank you!
Hi, I’m not sure what to use in my experiment to test the statistical differences. I’m also wondering if it’s possible to test for a statistical difference in driving behavior? For example, if there’s a difference in what speed they used along certain sections of the route. To answer, for example, if there’s a difference between groups A and B in the selection of speed between [0m,3000m]. Then, should the mean for that section be used for each individual, and then a t-test? Or is it possible to incorporate if users varied their speed in some form or way? For example, if participants in group A varied their speed a lot between i.e 40-60 km/h, whilst group B either picked a speed of 40 or 60 km/h and stuck with it, the SD seems to be very similar but the behavior is different. A bit of a long question, thankful for any input.
Hi, I’m using two different devices to test the same parameter, device 1 and device 2, to test the microbial population (parameter) of samples 1 to 140, and I believe in my case it should be a paired t-test, right? I’m trying to compare the performance of these two devices, the p-value will tell me are their performances the same or not, right?
I have a observation with 25% concentration with a Trials 1,2,3 and 50% concentration with a Trials 1,2,3. What should I use?
Hello, i am wondering which test i should be using. I have 3 different types of mice called A, B and C. However, I am only interested in knowing the statistical differences between A and B, and A and C. I also want to put all 3 groups in the same column graph (for a visual reason).
Mostly I’m just trying to find out which one just performs better. Thank you for all the replies. The data consist of 5 task, for 2 different menus. Basically I recorded the time of completion of the task, and their slips and mistakes.
Hello,
First, I used one way Anova using GraphPad Prism. But a reviewer commented that One Way Anova is not good because it gives multiple p-values.
Thanks. But I used realtime PCR. Inner control for the analysis is GAPDH gene.
Hi. I have obtained the data of a gene expression of gene (say X) in 4 different histopathological types of breast cancer. My total samples are 105. Also I checked the expression of same X gene in 15 normal (disease free) samples. Distribution of samples among different histopathological types is uneven tanging from 70 samples to two samples. Which analysis should be performed to find if gene x is associated with any of the 4 histopathological types of breast cancer. And which approach should I use to find if any threshold expression level (fold change) of that X gene is associated with any of the histopathological type of breast cancer.
For Likert scale data, what is to be used, Mean or Median?
Hi, I am designing an experiment on Impact of social norms and social network on sustainable behaviour. I have three groups of independent variable (social norm, social influence and control group), and dependent variable (consumer intention). Is better to use independent Anova Test?
Thank you for your response. So if I have three samples and would like to do multiple comparison, which test shall I choose when homogeneity of variance is violated? It seems ANOVA with post-hoc doesn’t work in these situation.
What about variance assumptions? what is difference between ANOVA and t-test in term of variance assumptions?
Hello,
I have an assignment problem where it asks “Scientists are trying to understand if there is a relationship between the age of patients who What would you pick?
Hello- I am conducting a research on Impact of motivation on employee performance. Thank you
Hello – I am proposing a research design – where I am evaluating the influence of police-body-cameras on police productivity and police brutality. I am measuring police productivity through the number of police actions taken (citations and arrests); I am measuring police brutality through the number of “use of force” instances and through the number of citizen complaints of officer misconduct. The two police department sites would run independent studies. Randomly sampling will be used to select 120 patrol officers from the Duty List at each site; then random sampling will be used to place those 120 into three respective groups: treatment group – given automatic body cameras (N=40), control group A – given traditional body cameras (N=40), and control group B – given no cameras. Data collection would occur for a 9 month period. Participants would not be told of the study, as it may impact their behaviors, knowing they are being closely monitored for specific actions/behaviors. Would an ANOVA test be appropriate? And how would I calculate the effect size?
Good evening, Just like to confirm, my experiment consists of two experimental groups: control and intervention group. We are analysing the baseline results and the ‘after ten weeks’ results using EORTC-CLC30 numerical scores. Would a Repeated measure one way anova be the appropriate statistical test for such an experiment? Would a paired t-test be appropriate too? Thank you
Hello, Thank you so much for the article. I will appreciate it if you can take a look at something for me. To compare the average energy between mixes, should I use T-Test or ANOVA? If the result I get from T-Test is a mix of both significantly different and not significantly different (not in a clear pattern), how should I proceed? For the load vs displacement curve, I only want to look at post peak data and I divide that section post peak into 10% increment sections (95%-85%, 85%-75% …) and I’m interested in wanting to know whether these sections have any effect on each other. I know that these sections do not describe the same thing, but can I use either T-Test or ANOVA to do my analysis? Thank you so much.
I have four independent variables that i am using to predict the dependent variable. however, two of the independent variables are interrelated and one of them has some measurement variables. i had used Anova to account for the variations in one of the independent variables but stack on how to deal with the two interdependent independent variables in a simplified way. My plan is to have a simplified multiple regression equation factoring in all the variables What test can be use to compare two different variances?
Thanks for your reply. I have one more question. Regarding to two-group comarison, you answered both t-test and ANOVA are fine. Then in the scientific paper, is it ok to show both ANOVA and t-test results instead of choosing one in the same figure? Or I have to choose one?
Hi,
im conducting a research which is to determine what kind of microbes is in the surface specially doorknob in public restroom, what should i use?
I comparing 3 schools doing online learning with 13 different factors/observations. I was planning to use a one sample t-test across the different factors to test which ones are significant which we can deep dive into in follow up research. Concurrently, i am planning to use ANOVA to compare the factors/observations which didn’t fare well across the 3 schools to analyze the cause-effect. Does this seem like a decent plan? Thank you so much for seemingly reverting to every single question here!
Hi! Thank you very much!
hi, I have 1 independent variable (promotion framing type) with 2 categories (percentage and dollar) and 1 dependent variable (purchase intention). I want to know which promotion framing results in a higher purchase intention. My hypothesis is: Dollar off (vs percent off) discount framing has a stronger positive effect on purchase intention for consumers. What is the best test to use for this? My sample size is 200 people. Thank you
i have four types of pollutants and i analyse the concentration of that pollutants in both wastewater and river. I want to see the significance different between the concentration in wastewater and river. which test are suitable?
i want to determine the significance difference of hormones concentration in wastewater with the concentration in receiving river. which statistical analysis should i use?
hi i want to determine the differences in CAD currency between March 2020 and April 2020. what method should i use? is it okay for t-test?
I’m comparing two types of menus in interface design, and I want to find out which is better between them. I have just one group consisting of 20 people who did both the menu test. Which would be the best way to analyze this. Just one-way ANOVA? Do I need t-test as well? Or is there a better method. Thanks
I am comparing 2 types of schools and 3 different levels of support for distance learning of those schools. Should I use independent t tests, or ANOVA?
Hi, am comparing the retention level of total phenolic content of spices before and after cook, then compare retention level of 3 different amount of spices used after cook. Should i use ANOVA or a paired t-test?
Hello sir
Hi! I am writing an Internal Assessment on the calcium content in six different types of tofu using EDTA. There are 5 trials per tofu, would ANOVA test work for this experiment?
My data is not normally distributed even after using log, sqrt or cuberoot. Do I use non-parametric test?
Hello. I’m running an experiment to determine which agar and treatment I should use for my protocol. I’m testing two different agars. Each agar will undergo different 4 different conditions. Each condition has 3 levels. Which test should i use to analyse my data?
I am comparing 2 unrelated parameters (expressed in 3 different ways, all in numerical values) between control and disease group. The disease group is further
sub-divided based on severity of abnormality. The numbers are small, as its a pilot study.
Hello! I am experimenting on the productivity of the students with respect to their time preferences. The first condition is that, in the first 5 days, the student will do his/her homework in the morning (8 AM to 4 PM). The second condition is that, in the next 5 days, the students will do his/her homework in the evening (8 PM to 4 AM). What test can I use to further interpret my results?
I did an experiment to look at a treatments for an injury. I have 5 groups: sham injury, injury w/o treatment, and then injury + treatments 1, 2, or 3. We use sham groups to prove that the injury model did, in fact, cause an injury. In my statistical analysis, should I: Having the sham data in the same ANOVA set with the injured and treated animals is adding a second variable. Variance should be equal within groups, but means should be different.
I’m doing my bachelors level research in which
I have one independent and two dependent variables. I’m seeing the impact of the independent variable on the two dependent variables separately. The two dependent variables have no connection with each other. The participants for the study are 60 and are not grouped.
Hi, I am doing a statistical analysis on my paper on patients who underwent surgery for vitreous hemorrhage. By diagnosis, it came out as this, subretinal pathology 57, retinovascular diseases 54, trauma 6, retinal detachment 6, and vasoproliferative tumors 3. Can I use ANOVA to compare the pre-operative and post-operative results among the population with more than 3 itmes. Thanks I want determine which of the 2 exercises is more effective in decreasing cholesterol levels (baseline -post exercise)
So I have got 5 conditions and 10 trials for each condition. Im comparing the growth in plants due to a change light spectrum color’s. Im conducting this experiment with 3 different plants, meaning for every plant I have a set of data of 5 condtions and 10 trials. Is it better to use an ANOVA test? and does it depend on my error bars which test I should use(ive been hearing that). I have three populations of cells. Population 1 is my control, untreated cells. Population 2 is my sham treated cells, and population three is my treated cells. Can I use student t-test to determine a statistical difference comparing pop 1 to pop 2, and pop 3 to pop1, and pop 2 to pop 3, or must I use a one-way ANOVA to compare all three? And what is the rationale?
What is stated by the null hypothesis H0 for an ANOVA?The null hypothesis in ANOVA is always that there is no difference in means. The research or alternative hypothesis is always that the means are not all equal and is usually written in words rather than in mathematical symbols.
What is stated by the null hypothesis H0 for an ANOVA quizlet?For an ANOVA comparing three treatment conditions, what is stated by the null hypothesis (H0)? There are no differences between any of the population means.
When the null hypothesis is true for an ANOVA the expected value for the F ratio is?If the null hypothesis is true, you expect F to have a value close to 1.0 most of the time. A large F ratio means that the variation among group means is more than you'd expect to see by chance.
Which of the following is expected if the null hypothesis is true for an ANOVA?If the null hypothesis is true, the between treatment variation (numerator) will not exceed the residual or error variation (denominator) and the F statistic will small. If the null hypothesis is false, then the F statistic will be large.
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