2.1 - Inference for the Population Intercept and Slope 2.2 - Another Example of Slope Inference 2. have a similar amount of variance within each group being compared (a.k.a. A hypothesis test of the average with one or more standard normal populations is known as a t-test. The t-test assumes your data: are independent are (approximately) normally distributed. The Test for Equal Variances is used to verify one of the assumptions upon which the 2-sample t-Test is based. Minitab Help 1: Simple Linear Regression R Help 1: Simple Linear Regression Lesson 2: SLR Model Evaluation. The t-test is a parametric test of difference, meaning that it makes the same assumptions about your data as other parametric tests.
Depending on the source populations, some assumptions about the variance of the samples can be taken.
MINITAB T TEST SOFTWARE
The course has been developed by Minitab's seasoned statisticians with more than 150 years of cumulative industry experience. 1.9 - Hypothesis Test for the Population Correlation Coefficient 1.10 - Further Examples 1.11 - Software Help 1. In any type of hypothesis testing process that involves two samples, those can be related to two different populations, or the two samples can be drawn from one population. We assume confidence and risk to proceed with our hypothesis.Minitab Quality Trainer is one of the best e-learning resource for learning statistics. Ha-If on an average the percentage of clients defaulting on loans is with μ>50 then I should NOT invest in loan recovery department. Ho- If on an average the percentage of clients defaulting on loans is with μ≤5 then I should invest in loan recovery department. The formula is below, and then some discussion. Unlike the paired t-test, the 2-sample t-test requires independent groups for each sample. The process is very similar to the 1-sample t-test, and you can still use the analogy of the signal-to-noise ratio. Ha-If on an average the retail market is growing with μ>50 then we should NOT venture in. The 2-sample t-test takes your sample data from two groups and boils it down to the t-value. Ho- If on an average the retail market is growing with μ≤50 then we should not venture in.
Descriptive statistics One-sample Z-test, one- and two-sample t-tests. We then determine whether the sample data supports the null or alternative hypotheses.Įxtending case 1 and case 2 defined above, let us rewrite the Ho,Ha on Sample Mean(μ) Minitab is the leading statistical software used in education worldwide because. It is useful for determining if a particular strata or group could provide insight into the root cause of process issues.
We select a random sample from the population of interest and compute summary statistics. The Two-Sample T-Test is a hypothesis test that determines whether a statistically significant difference exists between the averages of two independent sets of normally distributed continuous data. It covers the important applications of Minitab like the input of statistical data, data manipulation, identifying trends and patterns, as well as finding resolutions for issues in Six Sigma projects.
MINITAB T TEST FREE
Ha- I should Not invest in loan recovery department The free Minitab basics course is the best introductory course for learners keen on learning about Minitab software. Ho- I should invest in loan recovery department Now arrive at Ho,Ha for the business problemĬase 2- Financial Institution wants to invest in Loan Recovery Department and has collected data that “Less than 5% will default on their Loans”īusiness Problem- Should I Invest in Loan Recovery Department or not It’s Simple: Map your case to Business problem and drill down to your Ho and Ha.Ĭase 1- Startup wants to enter in to retail market and have collected following data “Retail market would grow by 50% in next 5 years.”īusiness Problem- Should I enter Retail market or not What follows is an example of the paired (or dependent) t-test procedure using the popular statistical software package, MINITAB.
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