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2 sample t test minitab
2 sample t test minitab






2 sample t test minitab

#2 sample t test minitab series#

Construct a series of One-Way ANOVA models to investigate the effect of each factor on the production rate (total of three models). Do the two facilities have the same variability in their production rates?3. Is there a difference between the average production rates at each facility?c. Does this sample suggest that we are meeting that threshold?b. The planned production rate is 800 units per hour. Conduct the following series of hypothesis tests to further explore the data taking into account any assumptions or limitations of the tests.a. Finally, evaluate whether the response variable is normally distributed.2. This should also include graphical exploration of the data (i.e., histograms, box plots, scatter plots, etc.). This should include, but is not limited to, aspects such as descriptive statistics, features of the response variable, and identifying missing data or outliers. Conduct data exploration to describe the data and identify any potential problems or limitations of the dataset. And to answer their question, no there is not sufficient evidence to conclude that there is a difference.PART 1 DATA ANALYSIS (50 points)Download the provided Excel data file and complete the following analysis:1. And so because of that, we fail to reject our null hypothesis. The average number of babies women in each country have? Well we can see that our p-value, 0.13, is greater than our alpha value, 0.05. To 0.05 level of significance, is there sufficient evidence to conclude that there is a difference in So what's going on over here? You really just have to compare this value to this value. Have sufficient evidence to conclude the alternative. Reject your null hypothesis, and so you would not Than your significance level, then you would fail to Pretty unlikely scenario, let me reject the null hypothesis, which would suggest the alternative. Your significance level, then you'd say hey this was From that you're able toĬalculate a t-statistic, and then from that t-statisticĪnd the degrees of freedom, you are able to calculate a p-value. And so what we do is weĪssume the null hypothesis. It's a t test to see if we have evidence that would suggest ourĪlternative hypothesis. And our alternative wouldīe that they are different. That would be our null hypothesis, the no news here hypothesis. That women in France have versus the mean number of babies that women in Switzerland have. That there's no difference in the mean number of babies And just to make sure weĬan make sense of this, let's just remind And here it says t test for the means of these different Of the sampling distribution of the sample mean. Would be our estimate of the standard deviation You have the standard error of the mean, which for each sample

2 sample t test minitab

Sample from France, a 100-person sample from Switzerland. The sociologist obtainedĪ random sample of women from each country.

2 sample t test minitab

The average number of babies women in each country have. Studying fertility in France and Switzerland wanted to test if there was a difference in








2 sample t test minitab