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Combined analysis of variance repeated over years

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This video will show how to carry out the combined analysis of variance for experiments repeated over two years. Very simple steps to carry out the analysis. Step 1 (at 1:14 ): Get error mean squares or variance and associated degree of freedom for each year. You can download excel tool where you can just enter data and get a variance with an associated degree of freedom. Click here to watch the complete tutorial Download link for excel tool for calculating variance or EMS: https://1drv.ms/x/s!As-fQhyw8QbteiYfS... Step 2 (at 1:28 ): Apply test for homogeneity of variance using excel tool. You can download this tool from the link given below... Excel tool for the test of homogeneity of variance: https://1drv.ms/x/s!As-fQhyw8QbteO04v... Step 3 (at 2:08 ): Choose an appropriate design or construct design according to your objectives in MSTAT C There was mistakenly written the third variable as "Time in days from heading to maturity" at 1:03 and correct is ...

Two factor factorial randomized complete block design analysis

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This tutorial is on how to carry out analysis of variance and mean comparison test for two factor factorial randomized complete block design (RCBD) using MSTAT C. Click here to watch the complete tutorial Download link for MSTAT-C:  https://msu.edu/~freed/disks.htm Those who want to know how to import data from excel file to MSTAT C visit below link https://youtu.be/0Uk41RSI0EM If you want to know how to do mean comparison test in detail, visit below link https://youtu.be/7oPoTXRFVwE

Two way analysis of variance

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In this video, you will learn how to carry out two-way analysis of variance using MSTAT C. It includes a complete description with step by step procedure to conduct this analysis by using an example from MSTAT files. Click here to watch the complete tutorial Download link for MSTAT-C: https://msu.edu/~freed/disks.htm Those who want to know how to import data from excel file to MSTAT C visit below link https://youtu.be/0Uk41RSI0EM If you want to know how to do mean comparison test in detail, visit below link https://youtu.be/7oPoTXRFVwE

Split plot analysis

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This tutorial includes a complete analysis of split-plot design including mean comparison test using MSTAT C. Click here to watch the complete tutorial Probability value equal or less than 0.05 & greater than 0.01 = significant at 5% probability level "*" Probability value equal or less than 0.01 = highly significant at 1% probability level "**" Probability value greater than 0.05 = non-significant "ns" Command for selecting data in a column in MS word file Press and hold Ctrl+Shift and hit the F8 function key and then with just shift and arrow keys you can select required area. Trim command to reduce space between values and text in excel =trim(Select cell e.g. A1) Those who want to know how to import data from excel file to MSTAT C visit below link https://youtu.be/0Uk41RSI0EM If you want to know how to do mean comparison test in detail, visit below link https://youtu.be/7oPoTXRFVwE Download link for MSTAT-C: https://msu.edu/~free...

Increasing file size to create larger room in MSTAT C

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In this tutorial, you will be able to increase the file size to create room for more variables to do analysis in one turn rather repeating it with default file size for 25 variables. One variable takes space of 4 for the file size. For 25 variables file size will be 100 that is default setting. For more than 25 variables just multiply the number of variables with 4 to get the file size. Download link for MSTAT-C: https://msu.edu/~freed/disks.htm

Randomized Complete Block Design

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Easy to learn MSTAT-C for data analysis. Here, an example was carried out for analysis of variance and mean comparison test for simple (one factor) randomized complete block design (RCBD). Click here to watch the complete tutorial Download link for MSTAT-C: https://msu.edu/~freed/disks.htm How to import excel data to MSTAT-C: https://youtu.be/0Uk41RSI0EM

Importing excel data file to MSTAT C

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This tutorial is about importing excel data file to MSTAT-C. The excel file that contains a large set of data can easily be imported by converting it to ASCII file and then importing to MSTAT-C. No matter how large is the data file this is the fastest way to import data into MSTAT C. Click here to watch the complete tutorial Download link for MSTAT-C: https://msu.edu/~freed/disks.htm How to install MSTAT C: https://youtu.be/ZReWTtjBRS8