An upper bound defines a value that the population rate is likely to be less than. Minitab Express has a lower functionality. It allows you to toggle between worksheets, graphs and statistical output.Compare means of two treatments within one population. The solution in Minitab is to use the Navigator (learn more about the Minitab interface). For example, a 95% confidence level indicates that if you take 100 random samples from the population, you could expect approximately 95 of the samples to produce intervals that contain the population rate.Just like Excel, Minitab allows you to tile or cascade different worksheets and graphs but the window can get pretty cluttered when you have a lot of reports.
If the interval is too wide to be useful, consider increasing your sample size. Use your specialized knowledge to determine whether the confidence interval includes values that have practical significance for your situation. Use Minitab Express to conduct a one-way ANOVA to compare the mean body masses of the three penguins species.The confidence interval helps you assess the practical significance of your results. (5 points Hint: For a review, see page 3.3 in the online notes. Copy+ paste the boxplots below. Using Minitab Express, construct side-by-side boxplots to compare the body masses of the three penguin species.
A significance level of 0.05 indicates a 5% risk of concluding that a difference exists when there is no actual difference. Usually, a significance level (denoted as α or alpha) of 0.05 works well. Sheets in Excel, but there are important differences.To determine whether the difference between the population rate and the hypothesized rate is statistically significant, compare the p-value to the significance level.
You do not have enough evidence to conclude that the difference between the population rate and the hypothesized rate is statistically significant. P-value > α: The difference between the rates is not statistically significant (Fail to reject H 0) If the p-value is greater than the significance level, the decision is to fail to reject the null hypothesis. For more information, go to Statistical and practical significance. Use your specialized knowledge to determine whether the difference is practically significant. You can conclude that the difference between the population rate and the hypothesized rate is statistically significant.
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