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Sample size in a population of 300
2 votes

You would need at least 169 samples (with 95% confidence and with 5%- Margin of error) which is a most common requirement. With your current sample size you are having 11.3% margin of error (with 95% ...

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ARIMA Forecast Restrictions
2 votes

In Minitab, there is no option to restrict the forecasts to positive using ARIMA. Probably you need to consider doing log transformation before forecast and back transform after that as mentioned in ...

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Making forecasts in minitab only positive
Accepted answer
1 votes

Using SMA(1) there is no option to restrict like the way you want. You may want to take the log of the variable to avoid negative values and do the forecasts, and back-transform Please see here for ...

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bonferroni and scheffé' simultaneous confidence interval graph in minitab
1 votes

We can not graph both the CI graphs simultaneously because there is no option for that (in regression analysis) using Minitab.

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How to interpret a VIF of 4?
10 votes

Variance inflation factors (VIF) measure how much the variance of the estimated regression coefficients are inflated as compared to when the predictor variables are not linearly related. It is used ...

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What are some good datasets to learn basic machine learning algorithms and why?
16 votes

The data sets in the following sites are available for free. These data sets have been used to teach ML algorithms to students because for most there are descriptions with the data sets. Also, it's ...

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What is this diagram called
13 votes

This plot called as "Tree plot" in tableau. You can see here to know how to do that. You can find trail version of Tableau here Hope this helps !

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Histogram in JMP 11
3 votes

On the X axis, Click and drag on an axis to rescale it. Alternatively, hover over the axis until you see a hand. Then, double-click on the axis and set the parameters in the Axis Specification window. ...

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Get Logistic regressions odds from equation result
2 votes

You need to use the EXP() to convert the logs odds to odds. Example: EXP(-1.30) = 0.27 then EXP(logs odds)/(1+EXP(logs odds)) i.e. Probability = (0.27)/(1+0.27) = 0.21 To see how to use EXP in ...

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repeated measures anova using minitab
2 votes

In 'Responses' you need to use the BMI as it is your interest of study. I'm not sure, how you coded Time as 1,2,3 but if it is a factor that affects the response (BMI) then it's okay to use. You may ...

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Classification in SVM
Accepted answer
3 votes

Yes, it is possible to classify more than two classes using Multiclass Kernel-based Vector Machines. This paper explains well about this. There are non-linear separations as well like radial and ...

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Python as a statistics workbench
7 votes

Recent comparison from DataCamp provides clear picture about R and Python. The usage of these two languages in the data analysis field. Python is generally used when the data analysis tasks need to ...

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How do I test the stationarity of data using minitab?
2 votes

I believe you know how to check whether the data is stationary or not by looking at the ACF & PACF plots. To do this in Minitab, we use Stat - Time Series - Autocorrelation and Stat - Time Series ...

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Representative transaction KPIs - what method to chose (average, median...) / how?
Accepted answer
3 votes

The Average is a good measure when a dataset contains values that are relatively evenly spread with exceptionally NO high or low values. You can use 'Median' if you find extreme values in your ...

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Is it possible to do a proper demand forecasting through microsoft excel?
3 votes

The Answer is YES, you can do. All you need to do is arrange the data in proper manner and know how to feed in the data as required. You can use "Data Analysis" option in Excel. Also, there is an add-...

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I'm not sure how to interpret my binary logistic regression output from SPSS
5 votes

The interpretation of the output is given below: B - This is the coefficient for the constant (also called the "intercept") in the model. S.E. - This is the standard error around the coefficient for ...

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Research on debt recovery
2 votes

Another method is SVM (Support vector Machines). The classifier function constructed during the training completely decides the differences in data between the classes. We can do this using SAS/R/...

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How to perform two-sample t-test with Minitab?
2 votes

Two series of measurements can be given in two separate columns as well in Minitab. Considering the example in Wiki Enter two samples in two columns Go to Stat Menu -> Basic statistics -> 2-sample-t-...

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Discriminant, logistic approach to attrition analytics
Accepted answer
1 votes

You can choose the suitable technique after checking the following assumptions with your data Assumptions ------------- Discriminant Analysis ---- Logistic Regression Multivariate Normality -> ...

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Problem with ARIMA in Minitab
3 votes

Follow the below given steps to get the forecast values in Minitab. Go to Stat Menu -> Time series -> ARIMA Input your time series data in "Series" and enter the appropriate order for AR,I and MA. ...

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General Gage R&R Question
3 votes

Let us take this example. Three parts were selected that represent the expected range of the process variation. Three operators measured the three parts, three times per part, in a random order. ...

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Regression analysis and response surface analysis
5 votes

I'm assuming that you are asking about Multiple regression method and Response surface method. Below is the simple explanation about both methods and their applications. As you read through, you will ...

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Statistical analysis and prediction of variations in anatomical features
Accepted answer
2 votes

One possible method is SVM (Support vector Machines), it needs a decent amount of data to train the model. The classifier function constructed during the training completely decides the differences in ...

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Problem with factorial design in Minitab
Accepted answer
3 votes

I know it's a delayed response but this could help anyone who is trying to do this: Follow these steps: Stat -> DOE -> Factorial -> Create Factorial design Select "General Full factorial design" ...

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Regression analysis with 1 dependent and 1 independent variable
4 votes

The Answer is YES, it is possible using Simple Linear Regression. Please refer this link to know how to perform this analysis in SPSS. You can also do this analysis in MS Excel if you do not have ...

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