data_exam_scores

<p>To what extent does initial performance in a class relate to performance on a
final exam? First exam and final exam scores for nine students enrolled in an
introductory psychology course. Exam scores are percentages, where 0 = no
answers correct and 100 = all answers correct.
Data is synthetic to represent patterns found in a previous psych
stats course.</p>

datasets

A collection of functions and 'jamovi' module for the estimation approach to inferential statistics, the approach which emphasizes effect sizes, interval estimates, and meta-analysis. Nearly all functions are based on 'statpsych' and 'metafor'.  This package is still under active development, and breaking changes are likely, especially with the plot and hypothesis test functions.  Data sets are included for all examples from Cumming & Calin-Jageman (2024) <ISBN:9780367531508>.

Robert J. Calin-Jageman

esci

Estimation Statistics with Confidence Intervals

Robert Calin-Jageman

data_exam_scores function


<div class="section" id="data-exam-scores">
<h3><code>data_exam_scores</code></h3><p></p><p>
</p><p>A data frame with 9 rows and 3 columns:</p><dl>
<dt>StudentID</dt>
<dd><p>factor</p></dd><p></p><p><dt>First Exam</dt>
<dd><p>numeric</p></dd></p><p><dt>Final Exam</dt>
<dd><p>numeric</p></dd></p><p>
</p></dl><p></p><p></p></div>


Format

Exam Scores - Ch11 - for End-of-Chapter Exercise 11.2 — data_exam_scores


<div class='section' id='data-exam-scores'>
<h3><code>data_exam_scores</code></h3>


<p>A data frame with 9 rows and 3 columns:</p><dl>
<dt>StudentID</dt>
<dd><p>factor</p></dd>

<dt>First Exam</dt>
<dd><p>numeric</p></dd>

<dt>Final Exam</dt>
<dd><p>numeric</p></dd>


</dl>

</div>


data_exam_scores: Exam Scores - Ch11 - for End-of-Chapter Exercise 11.2

Description

Usage

Arguments

Format

`data_exam_scores`