JASP Histograms & Descriptive Statistics
— 7864 u02a1 Step-by-Step Guide
A practical guide for students working through the 7864 u02a1 assessment in JASP — covering how to set up the histogram split, interpret the distribution shapes for lower and upper division students, run the descriptive statistics for GPA and quiz3, and write up what skewness and kurtosis actually mean in plain language.
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Get Assignment Help →What the 7864 u02a1 Assessment Actually Asks You to Do
Section 1 asks you to produce two histograms — one for lower division students, one for upper division — using the final exam scores split by the lowup variable. Then describe what the shape of each histogram tells you visually. Section 2 asks you to run descriptive statistics on GPA and quiz3 — specifically mean, standard deviation, skewness, and kurtosis — and explain what those numbers say about normality. Both sections go into one Word document with your name and the assignment title.
This is a software mechanics and interpretation task. JASP does the calculations. Your job is to set it up correctly and write something meaningful about what you see. Most students lose marks not on the output itself — but on the written interpretation. That is where this guide focuses.
Understanding the grades.jasp Dataset Before You Open JASP
Before you run a single analysis, spend two minutes looking at what the variables actually mean. The 7864 dataset is fictional student data — 105 students across three course sections. Twenty-one variables. For this assignment, you only need four of them: final, lowup, gpa, and quiz3.
| JASP Variable | What It Measures | Values / Coding | Scale of Measurement |
|---|---|---|---|
| lowup | Whether the student is in a lower or upper division course section | 1 = lower division; 2 = upper division | Nominal — it is a grouping label, not a quantity |
| final | Number of correct answers on the final exam | Raw score (numeric count of correct answers) | Scale — a continuous numeric variable suitable for histograms |
| gpa | Student’s previous grade point average | Numeric GPA value (e.g., 3.06, 2.3, etc.) | Scale — continuous, used for descriptive statistics |
| quiz3 | Number of correct answers on Quiz 3 | Raw score out of 10 | Scale — continuous, used for descriptive statistics |
Why Measurement Scale Matters for What You Can Do
The lowup variable is nominal — it is a category code, not a number you can average. That is why it goes in the Split box in JASP (to separate the histogram into two groups), not in the Variables box. The final variable is scale — it is a real count, which is why JASP can build a histogram from it. Getting this wrong is the most common setup error in this assignment.
How to Create the Two Histograms in JASP
The histograms come from the Descriptives menu, not from any separate chart function. JASP handles everything in one panel. Here is what the setup process looks like and where to find each option.
JASP Setup: Histograms for Final Exam Scores by Division
Step-by-step — follow this exactly before you click anything else
Open grades.jasp in JASP
Start JASP. Select the blue sandwich menu icon in the top-left corner. Select Open → Computer. Browse to wherever you saved grades.jasp and open it. Your 21 variables will appear in the left-hand panel. Do not rearrange or edit any of them.
The file extension is .jasp, not .csv or .xlsx. JASP will not open it if the file type has been changed. Download the correct file from your course assignments area.Select Descriptives from the Top Menu Bar
Click Descriptives in the main toolbar at the top of the JASP window. A new panel opens on the left side of the screen. You will see a Variables box and a Split box. Both are empty at this point.
Do not select T-Tests, ANOVA, or Regression — those are different analyses. Histograms live under Descriptives.Move “final” into the Variables Box
In the left-hand variable list, click on final to select it (it highlights blue). Then click the arrow button pointing right toward the Variables box. The variable moves over. The Variables box should now show “final” and nothing else.
Only final goes in Variables for the histogram task. Do not add lowup here — it goes in Split, not Variables. This is where most students make their first setup error.Move “lowup” into the Split Box
Click lowup in the variable list to select it. Then click the lower arrow button, which points toward the Split box. The lowup variable moves into Split. This tells JASP to produce a separate histogram for each value of lowup — one for lower division (coded 1) and one for upper division (coded 2).
The Split box is how you get two separate histograms from one variable. Without this step, JASP produces only one combined histogram — and your assessment answer is wrong.Open Basic Plots and Check Distribution Plots
Scroll down in the Descriptives panel. You will see expandable sections: Statistics, Basic Plots, Customizable Plots, Tables. Click on Basic Plots to expand it. Check the box next to Distribution plots. JASP immediately generates the histograms in the output panel on the right side of the screen.
The histograms appear automatically on the right as soon as you check the box. You do not need to click a “Run” button.Copy the Histograms into Your Word Document
Right-click on the histogram output in JASP’s right-hand panel. Select Copy. Open your Word document, place your cursor where you want the images to appear, and paste. Do this for both histograms — they should appear side by side or stacked, as JASP arranges them. Do not screenshot them if you can avoid it; the copy-paste produces cleaner resolution.
Your Word document needs to include both histograms — lower division and upper division — labelled clearly. If they are not labelled, add a caption below each one identifying which division it represents.Write Your Visual Interpretation Below the Histograms
Below the pasted histograms, write two to three sentences describing what you see. This is not a statistics report — it is a visual description. What is the overall shape? Are there more scores at the high end or spread out? Does one group look more evenly distributed than the other? That is what the question is asking.
The key phrase in the instructions is “visual inspection.” You are looking at the bar shape — not calculating anything. Save the numbers for Section 2.How to Write the Visual Description of a Histogram — What to Actually Say
This is where students write one sentence and move on. That is not enough. The question asks you to describe the shape of the distributions. There are specific shape characteristics you are looking for.
📐 What to Look For When You Inspect a Histogram Visually
Is the histogram roughly symmetric — bars of similar height on both sides — or does it trail off more on one side? A tail to the right is positive skew. A tail to the left is negative skew. For final exam scores, a cluster at the high end with a tail toward low scores would be negatively skewed.
Where do most scores cluster? Are the tallest bars in the middle, the left, or the right of the histogram? This tells you something about where the average (central tendency) sits relative to the range. A hump in the middle suggests the scores are clustered around an average value.
Are the bars spread widely across the x-axis or clustered tightly? Wide spread means high variability — scores are all over the place. A tight cluster means students performed similarly. Comment on this when you compare lower vs upper division students.
Does the histogram have one main peak (unimodal) or two separate humps (bimodal)? A bimodal distribution suggests two distinct subgroups within the data — for example, students who did very well and students who did very poorly, with little in the middle.
Are there isolated bars far from the main cluster? A single tall bar at the extreme low or high end could indicate a few students who performed very differently from everyone else. Worth noting if you see it.
How does the lower division histogram look compared to the upper division one? More spread? Shifted left or right? Different peak location? The assignment is asking you to produce two histograms — so a comparison between the two shapes is a natural part of your written response.
A Framework for Writing Your Visual Description
One solid paragraph covers this. Describe each histogram in two to three sentences: shape (symmetric, skewed left/right), central tendency (where most scores cluster), spread (wide or narrow distribution), and any notable features (bimodal pattern, outliers). Then one sentence comparing the two. That structure answers the question completely without over-reaching into statistical inference, which Section 1 does not require.
A histogram is a picture of a distribution. You are not being asked to calculate anything — you are being asked to look at the picture and describe what you see in terms that a statistician would recognize: shape, center, spread, and any unusual features.
— Adapted from: Field, A. (2024). Discovering Statistics Using IBM SPSS Statistics (6th ed.). SAGE Publications.Running Descriptive Statistics for GPA and Quiz3 in JASP
Section 2 is a separate JASP run — different variables, different output. You are switching from histograms to a descriptive statistics table. The variables change: now you need gpa and quiz3 in the Variables box. No Split variable this time.
JASP Setup: Descriptive Statistics for GPA and Quiz3
Mean, SD, skewness, and kurtosis — what to check and what to leave alone
Open a Fresh Descriptives Panel
Select Descriptives from the menu bar again. A new Descriptive Statistics panel opens. The Variables box is empty. Do not carry over the settings from Section 1 — JASP allows you to open multiple analysis panels, but it is cleaner to start a new one for Section 2.
Make sure you are NOT putting lowup in the Split box for this section. Section 2 does not split by division — it runs descriptive statistics across all students for both variables.Move “gpa” and “quiz3” into the Variables Box
Click gpa in the variable list, then click the arrow to move it to Variables. Then click quiz3 and do the same. Both variables should now appear in the Variables box. Both are scale variables, so JASP will calculate numeric statistics for each.
Open the Statistics Panel and Select the Right Options
Click the Statistics triangle to expand the statistics options. You will see checkboxes for various statistics. The instructions are specific: check Mean, Std. Deviation, Skewness, and Kurtosis. Deselect everything else. You do not need Median, Mode, Minimum, Maximum, or Variance for this output.
The instruction says to deselect other options — so if some boxes are pre-checked by default (like N Valid), uncheck them. Your table should show only the four requested statistics plus their standard errors, which JASP includes automatically with skewness and kurtosis.Copy the Output Table into Your Word Document
JASP produces a Descriptive Statistics table in the right panel automatically. Right-click the table and select Copy. Paste it into your Word document below your histogram section. The table will show gpa and quiz3 as columns, with mean, standard deviation, skewness, SE of skewness, kurtosis, and SE of kurtosis as rows.
Report the Four Statistics in a Short Paragraph
Below the pasted table, write a short paragraph that states the values. Something like: “For GPA, M = [value], SD = [value], skewness = [value], kurtosis = [value]. For quiz3, M = [value], SD = [value], skewness = [value], kurtosis = [value].” Then interpret what those values mean. This written interpretation is worth marks — not just the numbers.
Read the values from the JASP output table. Do not estimate. The mean and SD are straightforward. The skewness and kurtosis values need a sentence of interpretation — see the next section for what to say.Write the Normality Interpretation
The question asks you to “briefly describe what skewness and kurtosis tell you about these data with regard to normality.” This means: are the skewness and kurtosis values close to zero? If skewness is close to zero, the distribution is approximately symmetric. If kurtosis is close to zero (using JASP’s excess kurtosis scale), the distribution has normal peakedness. Values far from zero suggest departure from normality.
Do not just say “the data are normal” or “not normal” without referring to the actual values from the table. Cite the numbers. That is what makes an interpretation answer rather than a guess.What Skewness and Kurtosis Actually Tell You — and How to Write About Them
Skewness and kurtosis are both measures of how much a distribution deviates from a normal (bell curve) shape. If both equal zero, the distribution is perfectly normal. In real data, they never equal exactly zero — but close to zero is good enough.
What It Measures and How to Interpret the Value
Skewness measures asymmetry. A value of zero means symmetric. A positive skewness value means the tail extends to the right — most scores cluster on the low end with a few high outliers pulling the distribution rightward. Negative skewness means the tail extends left — most scores are high with a few very low scores pulling left. For this assignment, values between roughly −1 and +1 are generally described as close to normal. Values beyond ±2 indicate meaningful skew that would concern a researcher.
What It Measures and How to Interpret the Value
Kurtosis measures the height and sharpness of the peak relative to a normal distribution. JASP reports excess kurtosis (also called kurtosis – 3 in some formulas). A value of zero means normal peakedness (mesokurtic). A positive value means a sharper, taller peak with heavier tails than normal (leptokurtic). A negative value means a flatter distribution with lighter tails (platykurtic). For writing your interpretation, values between −2 and +2 are typically described as within acceptable range for normality.
How to Write the Skewness and Kurtosis Interpretation
What to say — and what not to say — in your written answer
External Source for Skewness and Kurtosis Interpretation
Field, A. (2024). Discovering Statistics Using IBM SPSS Statistics (6th ed.). SAGE Publications. This widely used statistics textbook defines skewness and kurtosis and provides standard thresholds for interpreting values in the context of normality assessment. It is appropriate to cite for defining these concepts in your write-up. For APA format: Field, A. (2024). Discovering Statistics Using IBM SPSS Statistics (6th ed.). SAGE. Even though Field uses SPSS, the conceptual definitions of skewness and kurtosis are identical to what JASP reports — the software output differs, but the statistics do not.
How Your Completed Word Document Should Be Structured
The assessment instructions specify a Word document with a title and your name. Beyond that, the structure follows the two sections of the assignment. Here is how it should flow.
7864 u02a1 Word Document Structure
What goes where — in the order the marker will look for it
Pre-Submission Checklist for 7864 u02a1
- Assignment code (7864 u02a1) and your name at the top of the document
- Two histograms pasted from JASP — lower division and upper division final exam scores
- Written visual description of histogram shapes — not just “they look normal”
- Descriptive statistics table pasted from JASP showing GPA and quiz3
- Four statistics reported in text: mean and SD for each variable
- Skewness and kurtosis values reported numerically and interpreted in writing
- Interpretation references normality explicitly — not just describes the values
- Submitted as a Word document (.docx), not PDF or JASP file
Mistakes That Cost Marks on This JASP Assessment
| # | ❌ Mistake | Why It Hurts | ✓ Fix |
|---|---|---|---|
| 1 | Putting lowup in the Variables box instead of the Split box | JASP will either error or produce one histogram of the lowup variable (a meaningless bar chart of 1s and 2s) instead of two histograms of final exam scores. The output is wrong. | Variables box = final. Split box = lowup. These are different slots for a reason. The split is what creates two separate histograms — one per division level. |
| 2 | Writing “the distribution appears normal” without any supporting detail | That is an opinion, not an interpretation. The marker needs to see you actually looking at the histogram and describing specific features — the shape, the tail, the peak location. | Describe what you actually see: where are the bars clustered? Is there a tail? Are the two histograms similar in shape or different? Two to three specific observations is a complete answer. |
| 3 | Reporting skewness and kurtosis values without interpreting them | “Skewness = −0.43, Kurtosis = 0.21” is a copy-paste from the table, not an interpretation. Reporting numbers without saying what they mean earns partial credit at best. | After each value, add what it indicates: “A skewness of −0.43 suggests a slight negative skew, indicating that most GPA scores clustered toward the higher end of the scale.” That is an interpretation. |
| 4 | Checking extra statistics boxes in JASP (like Median, Mode, Variance) | The instructions say to select only Mean, SD, Skewness, and Kurtosis and to deselect other options. Extra rows in the table are not required and clutter the output. | Check four boxes: Mean, Std. Deviation, Skewness, Kurtosis. Uncheck everything else that was pre-selected. Your output table should be clean. |
| 5 | Mixing up the two sections — using the Section 1 variables for Section 2 | Section 1 uses final + lowup. Section 2 uses gpa + quiz3 (no split). If you run the wrong variables, the entire section’s output is incorrect. | Start a new Descriptives analysis for Section 2. Remove any variables left over from Section 1. Only gpa and quiz3 should be in the Variables box for Section 2. |
| 6 | Not writing anything below the JASP output — just pasting the image and table | Both sections explicitly ask for written description/interpretation below the output. Submitting images and tables without any accompanying text misses the entire interpretive component of the assignment. | Every pasted output — histogram or table — needs written text immediately below it. For histograms: describe the shape. For the table: report the values and interpret what they mean for normality. |
7864 u02a1 JASP Assessment FAQs
The Core Approach Your 7864 u02a1 Submission Needs
This assessment has two components and both reward the same thing: getting the JASP setup right and then writing something specific about what the output shows. The software does the heavy lifting. Your job is the interpretation.
For the histograms: final in Variables, lowup in Split, Distribution plots checked. Two histograms appear. You describe the shape of each — not just “looks normal” but specific features: symmetry, skew direction, where scores cluster, how spread out they are.
For the descriptive statistics: gpa and quiz3 in Variables, no Split. Check Mean, SD, Skewness, and Kurtosis only. Paste the table. Report the four values for each variable. Then write one paragraph per variable explaining what the skewness and kurtosis values say about whether the distribution departs from normality.
That is the whole assignment. Clean JASP output plus specific written interpretation. For further support on statistics assignments, JASP analyses, APA write-ups, and quantitative research methods coursework, the team at Smart Academic Writing is ready to help. Visit our statistics writing services page or our assignment help section to get started.