Course: Introduction to Statistics (MATH 11) · Silver Oak University (fictional sample) · Prof. Rivera
Module: Week 8 of 16 · Fall 2026 · in-person, two 75-minute sessions
Objectives covered: cumulative — Objectives 1–4 (Weeks 1–7): getting data; summarizing one variable; relating two variables; probability & random variables (binomial & normal models).

This file holds two pieces: (A) the Module 8 Overview page ("Start Here") and (B) the Welcome Announcement that drips out when the module opens. This is the midterm week — it works differently from a normal week. Dates below assume a Tuesday/Thursday session pattern with Week 8 meeting Tue Oct 20 and Thu Oct 22; the Midterm window opens Mon Oct 19 and the exam is due Sun Oct 25, 11:59 p.m.; Discussion 8 (the debrief) is also due Sun Oct 25. Adjust the day-of-week and times to match your section.

(A) Module 8 Overview — Start Here

Welcome to Week 8: Midterm Review & Exam

This is your home base for the week. Read it first, then work the checklist below from top to bottom. Everything you need is linked inside the module.

Heads-up: this is the midterm week, so it runs differently. There is no regular quiz and no regular assignment this week — the Midterm replaces them. Instead, the week is built to get you ready: we spend both class sessions reviewing the whole first half, you work through a three-part prep kit, you sit the exam, and then you reflect on what stuck. The midterm is cumulative over Weeks 1–7 (Objectives 1–4) — getting good data, describing one variable honestly, relating two variables carefully, and reasoning about chance with the probability rules and the binomial and normal models. It does not include the normal-distribution calculations and inference that start in Week 9, so you can bound your studying.

The week's big question

"Across the whole first half — getting data, describing it, relating it, and reasoning about chance — can I do the one honest move each topic asks of me, and avoid the mistake that sinks it?"

By the end of the week you'll have walked the entire Objective 1–4 arc once more, found the exact spots where points get lost, and shown what you can do on the Midterm.

By the end of this week, you can…

Use this as a checklist. If you can do all four out loud, you're ready for the exam.

• [ ] Get the data right (Obj 1) — tell a population from a sample and a parameter from a statistic, classify a variable by NOIR, name a sampling method and its likely bias, and tell an observational study from an experiment.
• [ ] Describe one variable honestly (Obj 2) — read a histogram's shape, compute and choose the right center (mean/median/mode) and spread (SD or IQR), and defend the pairing under skew or outliers.
• [ ] Relate two variables carefully (Obj 3) — read a scatterplot and a correlation r, and explain why a strong link still isn't cause (hunt the lurking variable).
• [ ] Reason about chance (Obj 4) — apply the probability rules (complement, addition, conditional/multiplication, independence), compute an expected value, recognize a binomial setting (BINS) and find E(X) = n·p, and use the 68–95–99.7 normal intuition.

What's due this week, and what to do

Work these in order — each one gets you ready for the next. This is the midterm-week list; the usual weekly quiz and assignment are not here.

There is no Quiz 8 and no Assignment 8 this week — the Midterm stands in for both. The Study Guide, Exam-Prep Tutorial, and Practice Exam are your prep kit; the Midterm and Discussion 8 are what's graded.

A note on the AI prep tutorial: the Exam-Prep Tutorial works like every weekly tutorial — the chatbot drafts and quizzes you, and you judge its work against what we covered. It will sometimes get a NOIR call or a correlation-vs-cause line wrong; catching that is part of being ready.

Late policy reminder: 10% off per day late — and the exam window is firm, so don't let it sneak up. If life happens, reach out before the deadline; I'd much rather hear from you early than after.

How to succeed this week

• Review actively, not passively. Don't re-read notes — do the moves. Classify a variable, pick mean vs. median on a skewed set, read a correlation, set up a binomial. The Study Guide and Practice Exam are built for exactly this.
• Bound your studying. The midterm is Objectives 1–4 only (Weeks 1–7). The normal-curve calculations and inference (Weeks 9+) are not on it. Study the right four things deeply instead of everything thinly.
• Lead with the idea, then the number. Every topic this term was an idea first. On the exam, name the honest move before you reach for a formula: which summary tells the truth here? is this a link or a cause? does BINS hold?
• Use the prep kit in order. Study Guide → Exam-Prep Tutorial → Practice Exam. The tutorial finds your weak spots; the timed practice exam tells you whether you've fixed them.
• Then breathe and reflect. Discussion 8 isn't more cramming — it's the moment you notice the first half actually changed how you read a number in the wild. Do it after the exam while it's fresh.

You've already done the hard part across seven weeks. This week is about pulling it together and showing it. Come to class ready to review out loud — and bring your questions. See you Tuesday.

(B) Welcome Announcement — Module 8

Release setting: post on the module's start day (offset = 0 days), i.e., Mon Oct 19, 2026 (the day the midterm window opens) — not before. If your platform won't preserve the scheduled date on import, post this as a draft labeled "Release: Mon Oct 19."

Subject: Week 8 — Midterm week: review, prep kit, exam 📊

Hi everyone,

We're at the halfway mark, and this week is different from the others: it's midterm week. There's no regular quiz and no regular assignment — the Midterm takes their place. Everything this week is built to get you ready and then let you show what you can do.

Here's the shape of it: both class sessions (Tue Oct 20 / Thu Oct 22) are a fast, complete review of Weeks 1–7 — getting good data, describing one variable, relating two variables, and reasoning about chance (probability, expected value, the binomial and normal models). The exam is cumulative over Objectives 1–4, and it does not reach the normal-curve calculations or inference that start next week — so you can study the right four things.

Your prep kit, in order: work the Study Guide first, then run the Exam-Prep Tutorial with an approved chatbot (Gemini, Claude, or ChatGPT) and submit the share link, then sit the Practice Exam timed to find any soft spots.

The three dates that matter:
1. Midterm — window opens Mon Oct 19, due Sun Oct 25, 11:59 p.m. (20% of your grade).
2. Exam-Prep Tutorial — submit your chat share link before the exam closes (Sun Oct 25).
3. Discussion 8 — the midterm debrief — initial post Fri Oct 23, replies Sun Oct 25; reflect on one idea from the first half that changed how you read a real number.

One reminder: you've built every one of these skills already over seven weeks. This week just asks you to name them and use them under one roof. Open the Start Here / Module Overview page first — it lays out the whole week in order with every due date.

You've got this. Come with questions Tuesday,
Prof. Rivera