Select One Continuous Variable From The Database Name

Question

Select One Continuous Variable From The Database Name Your Variabl 1) Select ONE continuous variable from the database. Name your variable. 2) Select ONE categorical variable from the database. Generate a series of boxplots within ONE CHART which shows the spread of your continuous variable (from #1) for each group of your category variable. It's possible that Excel may handle this boxplot creation task more efficiently than JASP. 3) In JASP, run a one-way ANOVA test, using your selected continuous variable, over the groups of your selected categorical variable. Be sure to generate a descriptive statistics table as well. Copy and paste the descriptive and all ANOVA tables into your post. 4) Use complete sentences to write an interpretation of the p value. What do your p-value results reveal about the class or group of classmates? Report the results and provide an interpretation.

Dr. Jack HW Helper · Accepted Answer

The analysis begins by selecting appropriate variables from a given dataset, including a continuous variable and a categorical variable. For this study, suppose the continuous variable chosen is "Test Scores," representing students' academic performance, and the categorical variable is "Class Section," categorizing students into different groups based on their class sections. Generating Descriptive Statistics and Boxplots The first step involves descriptive statistics, which provide an initial understanding of the distribution of test scores within each class section. Descriptive statistics such as mean, median, standard deviation, minimum, and maximum scores for each group help to summarize central tendency and variability. In addition, boxplots serve as a visual summary, illustrating the median, interquartile range, and potential outliers for test scores across class sections. Creating a single boxplot that displays the spread for each group facilitates comparison and highlights differences in performance distributions. While Excel can efficiently generate such boxplots, statistical software like JASP streamlines this process by automatically plotting the distribution for each category within a single chart. Performing One-Way ANOVA Following data visualization, a one-way ANOVA test is conducted in JASP to determine whether there are statistically significant differences in mean test scores among the different class sections. The null hypothesis posits that the group means are equal, while the alternative hypothesis suggests that at least one group mean differs significantly. Running the ANOVA produces a table that includes the F-statistic, degrees of freedom, and p-value. These results provide a quantitative basis for judgment about group differences. Interpreting the P-Value The p-value obtained from the ANOVA test indicates the probability of observing the data, or something more extreme, assuming the null hypothesis is true. For instance, if the p-value is les

Select One Continuous Variable From The Database Name

Select One Continuous Variable From The Database Name Your Variabl

Paper For Above instruction

Generating Descriptive Statistics and Boxplots

Performing One-Way ANOVA

Interpreting the P-Value

Results and Interpretation

References