Thank you so much for this wonderful video, been searching for this for almost 3 to four days now.

What is an intercept in the regression equation ?

Thank you

great video. Very clear

Sorry for this question - might be a simple one ....Null hypothesis: There is a significant co-relation between the two ; Alternative hypothesis: There is no significant co-relation between the two but p value is less than alpha, we reject the null hypothesis. So how are we saying there is significant co-relation between the two ? What am i missing here ?

Why did you stop making the videos plz make some more videos

enmuhendis.com/category/minitab-istatistik-analiz/

kzbin.info/www/bejne/eH7NkneHnr6qerM

Such a helpful video! Thank you!

Great way to make it easily understandable. Thank you!

God tutorial!!

Why is my descriptive box didn't appear anything i need helps ASAP please

haw to use multi variate (multiple correspondence analysis ) please?

Hi, i am getting the message, ' all input columns must be same length'.. How do i correct my data so that i can do cross tab?

THIS HELPED! THANK YOU

when I do my two way ANOVA, one of the p-values is <0.0001. Does this (<) mean it is negative?

Please show some example of Multiple regression and How it can be shown in the Graph in Minitab

Dear! As your chart, we have 3 boxplots. I want to compare them, in my case how can i make one line to connect mid-points in 3 boxplots?

but how do we find the critical value if that was asked ?

thank you!

How do I construct this?

is this a one sample or two sample t test

You have a great voice and are very helpful

thanks so much for ur guide

Excellent thanks.

Could you do a video on using the chi squared test of association? Your videos are so helpful!

thank you so much

i m trying to do same thing but getting e ERROR * Only one response at each level. i m new to it, please help me.i have 21 sample means .i want to know how many of them have no significant difference in population mean.

very well explained!!!!!! THANK YOU!

Very good ! Where can I see the data ?

How would I input this in Minitab to test for the chi-square goodness-of-fit? I am stumped :( This is the problem: "Foot Locker holds 19.4% of the sneaker market in the US. Suppose that due to its relationship with Nike and Nike’s presence in the U.S. West region, Foot Locker believes that its share of the market in that region is higher than it is in the rest of the country. The research company randomly samples 1000 people in the U.S.West who have just purchased a pair of sneakers and 230 of the sampled shoppers purchased their sneakers at Foot Locker. Is this result enough evidence to declare that Foot Locker’s share of the market in the U.S. West is significantly higher than it is otherwise?"

any idea how to display the regression equation in the graph?

Do you have any suggestions for what type of test should be used for this type of data after finding out that you have violated the assumption for normality and equal variance?

Lets say you had some data on plant growth using amount of sunlight and water as predictor variables and they both have 0.000 p values - it just means both sunlight AND water are significant - more decimal places cannot tell you which is more important, you need to look at effect size, and possibly run more experiments to see when lack of one stunts growth and how they interact; but at the end of the day you may just find plants need both. Unfortunately good science needs more than just pvalues.

Nice and concise =)

that helped a lot thx

Thank you for your work in recording and uploading these videos. I have learned a great deal!

try looking at my video The Soft Drink Excitation (part 1), it goes through the process of collecting data and running a basic analysis, each part of the analysis is also done in a separate minitab tutorial, including tukeys pairwise comparisons. You really need an intro to stats text book - the type of analysis you use depends on how you designed your experiment and type of data. If you are a research student see if your university offers a free consultation for grad students. Good Luck!

seems there are some ways ( e.g. one way, two ways, balanced...) to do that and I dont know which one is my case. also I dont know how to use Tukey method ( I'm using Minitab) I know these are too much question but it is soooo important for me to know, Thanks alot in advance

Thanks for your video, I really need help for my thesis since I dont have any background information about statistical analysis its kind of so difficult for me, PLEASE help me out of this..then I can start writing my project. my question is I need to study the effect of three different factor ( voltage, tip to target distance and feed solution ratio) on my result ( Diffusion coefficient) by ANOVA. then using Tukey method for that

You are amazing!!! Thank you so much for this, it's saving my grad school bacon!!

Thanks for taking the time to do this <3

it fucked my mind

I'm not sure I understand you - in the menus up the top of minitab there is a tab called "calc" and the first option should be the minitab calculator which has all the options you needs (like SQRT etc). Any customising you can do in minitab really is just cosmetic (look and feel), not actual functionality. Post again with more details if you don't work it out...

Re, Minitab 16, In my calculator, I just have the regular Microsoft calculator. Is that the result of customization that you did? If so, where do I find the file that you are using for transforms?

awesome, thank you- very helpful!

yeah...not sure what happened here, it was a while ago...I've pasted the output into the description (it doesn't have the right spacing in arial font, if you want to see it how minitab has it then cut and paste it into something that has courier, like plain old notepad)

I wish the output was large enough to read.

Hi, I'm afraid there isn't a strong relationship between selling price and land area in this case and even with various transformations you won't get a large Rsquare. From memory the variation in house prices didn't seem to have a lot to do with the variables the students collected (for any project there is no guarantee you will be able to find a solution that explains most of the variation). Take a look at The Soft Drink Excitation(Part 2) for more on assumptions, residuals and transformations.