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In addition to routine bug fixes, the following are major additions to the Version 1.7.2:

An **Applets-Calculator** toolbox was added. It currently consists of the following applets:

**Rossman/Chance**Applet Collection: These applets can be used for teaching statistical concepts, and include the following sections:*Sampling Distribution*,*Data Analysis*,*Probability*, and*Statistical Inference*.**Desmos Calculators**: These include*Scientific Calculator*,*Four Function Calculator*, and a*Graphical Calculator*.

Simulation-based methods have been added for constructing confidence intervals and performing tests of hypotheses for one population proportion.

Bootstrap confidence intervals have been added with three options of Percentile, Standard Error (SE), and BCa. Dotplot graphs, showing the simulated values and confidence intervals are included in the output.

Test of hypothesis based on simulation (parametric bootstrap) has been added. By default, a p-value graph is shown in the report. A critical region graph can be added optionally to the report.

Power analysis using simulation was added.

Simulation-based methods have been added to construct confidence intervals and perform tests of hypotheses for the difference of two populations proportions.

Bootstrap confidence intervals have been added with two options of Percentile, and Standard Error (SE). Dotplot graphs, showing the simulated values and confidence intervals are included in the output.

Permutation test for test whether two population proportions differ has been added. By default, a p-value graph is shown in the report. A critical region graph can be added optionally to the report.

dialog box was added to allow users to choose between Type I, Type II, or Type III sum of squares.

dialog box added to allow users to choose the number of simulations and random number generator seed for simulation-based one-way and two-way ANOVA methods.

Graphs related to the Kruskal-Wallis and Friedman methods were added.

A function is added to the section of the dotplot that allows you to identify cases on the dot plot using colors, plot characters, or plot character size.

In the `Function`

dropdown of the Barplot module under the `Numerical`

tab, two options of “Count” and “Proportion” were added. These options apply when one numerical variable is selected, or one numerical and one factor is selected. The option “Counts” gives the frequency barplot for a numerical variable, and the option “proportion” gives the relative frequency barplot for the selected numerical variable. If a factor variable is selected, then the frequencies and relative frequencies will be plotted for each level of the selected factor.

In the `Categorical`

tab of the Dotplot module, labels changed from “Frequency* to”Counts" and from “Relative Frequency* to”Proportions."

The option of jittering points in the x- and y- directions were added to the scatterplot module. Go to \(\rightarrow\) `Attributes of Scatterplot ...`

\(\rightarrow\) `Point-Line`

and specify values in the X-Jitter or Y-Jitter boxes.

An option of Digit Separator was added to the Tick Label section for all plots that have x- and y- axes. If the number of digits for x-axis or y-axis tick labels is larger than three digits, they can be separated by commas or dots in groups of three. The default was changed, so no digit separator is added. To use the digit seperator option, go to the dialog. Then select `Title and Axes`

\(\rightarrow\) `X-Axis`

\(\rightarrow\) `Tick`

Then in the **Tick Label** section select *Digit Sep*.

The result of the R code can be either a scalar or a vector of any size. In the previous versions, the results were restricted to be a scalar or the same size as the number of rows of the selected dataset. Variables with smaller number of cases are padded with NA’s if

`Complete Cases Only`

is not selected.`Complete Cases Only`

was added, so the resulting saved dataset will only include the complete cases. All rows with at least one NA will be removed.

If no common variable is specified based on which to merge dataset, the two selected datasets will be merged by case numbers (i.e., concatenated horizontally). The dataset with a larger number of cases will be first. No other options will be available in this case. The rows with no data will be filled with NA’s.

Video tutorials for one-population inference and dotplot were added.