At the 95% confidence level, we can say that the difference in proportion between diabetic men and diabetic women is between 0.02 and 0.09, higher for men than women. The hypothesis test shows that the difference is statistically significant with a P-value of 0.00201. # 2-sample test for equality of proportions with continuity correction 25.1 Two-Sided Alternative Hypothesis Test. ![]() 24.2 Hypothesis Test Using Value Differences.24.1 Hypothesis Test Using Paired Values.24 Inference on Two Dependent Sample Means.23 Inference on Two Independent Sample Means.20.2 Calculating Correlation Coefficient.20 Linear Regression Equation, Correlation Coefficient and Residuals.19.4 Two Regression Lines Using Ggplot2.19 Scatterplots and Best Fit Lines - Two Sets.18 Scatterplots and Best Fit Lines - Single Set.16.6 Statistics for Quantitative Variables.15 Descriptive Statistics for Data Frame.13.2 Without a Grouping Variable (or Factor).13.1 With a Grouping Variable (or Factor).Changing Range of Values in Basic R (Optional).Changing Bin Widths in Basic R (Optional).Downloading and Installing Desktop RStudio.
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