Week 7 — Readings & Resources
Your primary reading is Chapter 7 (in this module). Everything below is the optional, go-deeper layer — pick what helps, skip the rest.
How to use this page
This page has 11 items (5 readings and 6 videos). Allow 104–123 minutes for everything. Each group points back to the matching chapter section and class-session segment, so use the full menu when you want more practice, or take the quick path below.
Every video here has captions: turn them on with the CC button in the player. The chapter covers the same ideas in text.
Pick-one quick path (18–21 min total)
- Binomial/Not Binomial: Some Examples — jbstatistics
- The Normal Distribution, Clearly Explained!!! — StatQuest with Josh Starmer
- Normal Approximation to the Binomial — Stat Trek
① Is this count binomial? The setting and its four conditions
Chapter 7, Section “The binomial setting: count the successes in a fixed number of tries” · Session 1, Segment 1, “The binomial setting and its conditions” · Remember: check fixed n, independent trials, two outcomes, and the same p before you use the model.
- Binomial/Not Binomial: Some Examples — jbstatistics — short word problems sorted into binomial or not binomial, each with the condition that decides it; pause before each verdict and make your own call first. (video, 8 min) (captions: automatic)
- Binomial Distribution — Stat Trek — a compact page that lists the conditions of a binomial experiment, the notation, the formula with a worked example, and the mean and standard deviation; skip the cumulative section and the calculator for now. (reading, 8–12 min)
- The Binomial Distribution: Crash Course Statistics #15 — CrashCourse — an energetic tour from a single yes-or-no trial to the binomial distribution, with everyday examples; it gets equation-heavy in places, and the examples are the part to hold on to. (video, 14 min) (captions: creator)
② How do you get the chances? The formula, technology, and the mean
Chapter 7, Section “The binomial formula: count the ways, then multiply” · Session 1, Segment 2, “Binomial probabilities, the mean, and the standard deviation” · Remember: a binomial chance is the number of ways times the chance of one arrangement.
- An Introduction to the Binomial Distribution — jbstatistics — a careful walk through the conditions, the probability formula, the mean, and two worked examples. This builds on Week 5's work with the multiplication rule for independent events. (video, 14 min) (captions: creator)
- Binomial Distribution EXPLAINED in UNDER 15 MINUTES! — zedstatistics — one example worked by hand, then in a spreadsheet, then summarized with the expected value and standard deviation; the spreadsheet part shows the same BINOM.DIST function the chapter uses. (video, 13 min) (captions: automatic)
- Binomial distributions | Probabilities of probabilities, part 1 — 3Blue1Brown — a visual explanation of where the number of ways in the formula comes from, told through online seller ratings; watch part 1 only, since part 2 moves beyond this course. (video, 13 min) (captions: creator)
- The Binomial Distribution — Math is Fun — the gentlest page on this list; read the coin-toss build-up, the section that makes the formula, the notes box that lists the conditions, and the part on the mean and standard deviation, and use it while completing the Week-7 module overview. (reading, 10–15 min)
③ When can a bell stand in? The rule of thumb and the normal curve
Chapter 7, Section “When a normal curve can stand in: the rule of thumb” · Session 2, Segment 3, “Shape, the rule of thumb, and the normal curve” · Remember: a normal curve may stand in only when np and n(1 − p) are both at least 10.
- Normal Approximation to the Binomial — Stat Trek — states the same rule of thumb this course uses, np and n(1 − p) both at least 10; read the logic and the when-to-use parts, and skip the continuity correction and the z-score steps. (reading, 5–8 min)
- The Normal Distribution, Clearly Explained!!! — StatQuest with Josh Starmer — five minutes on the bell-shaped curve and what its mean and standard deviation each do to it. (video, 5 min) (captions: automatic)
- Probability Distributions — Seeing Theory — a free interactive page; in the discrete and continuous part, pick the binomial, slide n and p to watch the shape change from lopsided to bell-like, then pick the normal; skip the other distributions. (reading, 10–15 min)
Optional one-stop reference (free online reference)
- 1.3.6.6.18. Binomial Distribution — NIST/SEMATECH e-Handbook of Statistical Methods — a free government reference; read the opening paragraph, look at the plots of the distribution for four values of p, and find the mean and standard deviation under common statistics; skip the cumulative and percent point functions and everything after. (reading, 4–6 min)
Heads-up (links rot): these point to outside sites that occasionally move or rename pages. If a link ever fails, tell your instructor and use the reference above in the meantime.
Provenance: Built with The Course Maker · samples.thecoursemaker.com