Course: Introduction to Statistics (18-week generic edition)
Module: Week 9 of 18 · planned around two ~75-minute sessions (Session 1 = cumulative review · Session 2 = the midterm)
Objectives covered: 1–4 in full, plus Objective 5's normal-distribution portion — everything from Weeks 1–8, reviewed and then examined.

This file holds two pieces: (A) the Module 9 Overview page ("Start Here") and (B) the Welcome Announcement that drips out when the module opens. All timing is relative — "start of Week 9," "end of Week 9" — and maps onto real dates when the adopting instructor sets the term calendar.

(A) Module 9 Overview — Start Here

Welcome to Week 9: Midterm Week

This week looks different, on purpose. There's no new chapter, no quiz, no lab — instead, the first half of the course gets pulled into one story, rehearsed, and then checked with a 50-question midterm. Before the nerves start: the midterm is worth 5% of your grade. It's a checkpoint, not a verdict. Eight weeks of tutorials, labs, quizzes, discussions, and assignments — the actual grade engine — are already behind you. This week simply tells you (and your instructor) how well the first half consolidated, while there's plenty of term left to act on the answer.

The week's big question

"Can you walk up to any number in the wild — a rating, a rate, a bell curve — and run the right Weeks 1–8 move on it, start to finish?"

By the end of this week, you can…

• [ ] See the first half as one map — get data honestly (W1) → picture it (W2) → summarize it (W3) → relate it (W4) → weigh the chance (W5–6) → model it (W7–8).
• [ ] Run the classic moves cold: classify a variable, pick the honest summary, read a two-way table with the right denominator, price an event with the four probability word-cues, compute E(X), np, √(np(1−p)), and take a normal model in both directions.
• [ ] Name the eight classic traps (the exam's distractors are built from them) — and dodge each one.
• [ ] Sit a cumulative exam with a plan — and walk out with information instead of just relief.

What to do this week, in order

The table below lists the week's items in working order — the order matters this week more than any other.

The AI heads-up for exam week: the practice exam, the exam-prep tutorial, and the debrief discussion are AI-open — that's where the learning and the reflection happen. The midterm itself is closed to AI, exactly like the weekly quizzes. Calculator fine; one page of notes if your instructor permits it; any z-table values an item needs are printed inside that item. The only numbers worth memorizing: 68 – 95 – 99.7.

Late-policy reminder: 10% off per day for late submissions — and the midterm itself is time-bound, with make-ups only for documented emergencies. If life happens this week, contact your instructor before the exam window, not after.

How to succeed this week

• Diagnose, don't reread. The study guide's checklists find your actual weak spots in 45 minutes; rereading all eight chapters finds nothing and takes all week.
• Rehearse under exam conditions once. One closed-book, no-AI practice-exam attempt tells you more than three open-book ones. Unlimited retakes mean the first one is free.
• Let the tutorial do the drilling. It re-teaches what the practice exam catches — that division of labor (practice finds, tutorial fixes) is the whole design.
• Study the traps, not just the topics. Every distractor on the midterm is a named misconception from Weeks 1–8. Knowing the eight traps is legitimate exam strategy.
• Keep the stakes in view. 5%. Steady weekly work has carried you here and keeps carrying you. Walk in curious about what held.

After the exam: post your debrief while the experience is fresh. Week 10 opens the second half — what can a sample really tell us about the world it came from? — and it builds directly on the normal model you just mastered.

(B) Welcome Announcement — Module 9

Release setting: drips at the start of Week 9 (offset = 0 days from module start) — not before. If your platform won't preserve the scheduled release on import, post it as a draft labeled "Release: start of Week 9."

Subject: Week 9 — Midterm Week (breathe: it's 5%, and you've been ready for weeks)

Hi everyone,

Midterm Week is here — and before anything else, the number that matters: the midterm is worth 5% of your grade. It's a checkpoint, not a verdict. The grade engine in this course is the weekly work you've already been doing for eight weeks. This week just checks how the first half consolidated — and gives you a clean map for the second half.

How the week runs, in order:
1. Start with the Study Guide (in this module). Work its "Can you…?" checklists first — they find your weak spots so you study those instead of everything.
2. Take the Practice Exam — unlimited attempts, ungraded, feedback every time, and it shares zero questions with the real exam. Do at least one attempt closed-book, like the real thing.
3. Run Exam-Prep Tutorial 9 — this week's graded tutorial. Your chatbot diagnoses all eight weeks, drills what wobbled, and ends with a 10-question mock round. Submit the share link + summary by exam day.
4. Sit the Midterm mid-week — 50 questions, Weeks 1–8, closed to AI (calculator fine; any table values you need are printed in the items).
5. Then debrief — Discussion 9, "The Midterm Mirror," due as your initial post two days before the week ends: what held, what wobbled, and your second-half plan. It's the most useful ten minutes of the week.

One promise from the first session still stands: this course is about thinking clearly, not being a "math person." Fifty questions can't change that — they can only show you where eight weeks of clear thinking already got you.

See you at the review session — bring questions.

See you in the course!