![]() ![]() Thanks for reading…keep visiting Techiequality. Toyota Production System Tools & Technique Minitab Simple Linear Regression Determine if there is a relationship between a predictor variable (X) and a response variable (Y). ![]() Minitab 1-Sample t-Test Calculate the confidence interval and p-value to determine if the mean is equal to a given value. Why why analysis methodology | 5-why analysis step by step guideĭecision of process capability analysis |Download Format Calculate the mean, standard deviation, and other statistics to compare two samples of data. SPC Format |DOWNLOAD Excel Template of SPC StudyħQC Tools Excel Template |DOWNLOAD Format. Risk identification tools and techniques |Download Format In the above example, we got the Pearson correlation value is 1, that means it’s clearly indicating that there is perfect positive correlation between two variables. ![]() Interpretation of Correlation coefficient (r): Correlation Coefficient (r ) 1 of two variables “water tank volume vs tank capacity”. Step-5:Īfter the execution of correlation analysis, you will get the Pearson correlation value here we got the value i.e. ![]() Select the variables, here we have selected Water tank volume and tank capacity then enters the “OK” button to execute the test. Path: Stat » Basic Statistics » Correlation Step-4: In section 12 we will discuss about measurement system analysis and how gage r and r studies are conducted in Minitab using theory and examples.įinally in section 13 we will talk about design of experiments including blocking and ceterpoints concepts using Minitab and examples.Just follow the below path to select the Correlation option. Similarly in section 11 we will talk about correlation and regression concepts with theory and examples using Minitab. Next in In Section 10 one way and two way ANOVA concepts using hypothesis tests using F and P values both theory and case studies using Minitab. Next In section 8 and section 9 we have Process Capability where we will look at process capability indices like cp, cpk, pp, ppk, sigma level and parts per million for both normal data and non-normal data both theory and case studies using minitab. In Section 7 we have introduction where we will look at Agenda of course. In this section we will look at horizontal lines in control charts like mean, upper control limit, lower control limit, and we will look at the pre-requisites for a process to be a stable process. Next in section 6, we will look at statistical process control charts. Selanjutnya, anda perlu melakukan pencentangan pada Samples in different column, lalu memasukkan grup A ke kotak First, sedangkan untuk kotak B perlu anda masukkan ke kotak Second. Next in section 5, we will look at hypothesis testing, in this section we will look at concepts like confidence intervals, hypothesis testing, null hypothesis, alternate hypothesis, type I and type II errors and we will look at hypothesis tests like, 1 sample t-test, 2 sample t-test, 2 variance test, paired t test, 1 proportion test, 2 proportion test, chi-square test etc. Dalam melakukan pengujian independent t test dengan minitab, untuk pertama kalinya anda perlu mengklik Stat, Basic Statistics, 2 Sampel T yang ada pada Menu. In this section we will look at concepts like inferential statistics, what is meant by random sampling, sampling distribution, central limit theorem and t-distribution introduction concepts. Next in section 4, we will look at inferential statistics. In this section we will look at what is mean, median, range, variance and standard deviation with formulas, once theoretical concepts are understood then we will look at how to calculate descriptive statistics in Minitab. Next in In Section 3 we will look at descriptive statistics. Next In section 2 we have graphical Analysis where we will look at different types of data types, different types of graphs with both theoretical concepts and how to plot those graphs using a hypothetical data sets. In Section 1 we have introduction where we will look at Agenda of course. ![]()
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