Video Library

Lecture videos for every topic in Units 1–6, weighted toward the ones that solve problems on screen rather than lecture at you. Watch to get the method, then come back and write it from the notes.

⚠ About these links

Every link below has been verified live β€” the video exists, and the title and channel shown are the real ones, checked programmatically against YouTube's oEmbed API. Four candidates came back dead or private and were dropped rather than listed on a guess.

Timestamps are not given. Reading a video's chapter markers requires loading the video page itself, which is not possible from this environment. Rather than print plausible-looking timestamps that might send you to the wrong minute, none are shown. Most of these are single-topic videos where the whole video is the relevant section.

β—† The seven videos that map onto the seven exam slots

If you watch nothing else, watch one per slot:

SlotTopicVideo
Q1 (a)Sampling distribution of the meanStandard error of the mean β€” numericals Β· Gourav Manjrekar
Q1 (b)PoissonPoisson β€” solved examples, easiest way Β· Dr. Harish Garg
Q2 (b)Normal distributionStandardizing normally distributed random variables Β· jbstatistics
Q3 (a)Skewness & kurtosis readingPearson's coefficient, skewness & kurtosis Β· Dr. Gajendra Purohit
Q3 (b)Sample sizeSample size from confidence level & margin of error Β· The Organic Chemistry Tutor
Q5 (a)Bayes' theoremBayes' Theorem, clearly explained Β· StatQuest
Q5 (b)Standard error, againMean and standard error of a sampling distribution Β· Math and Stats Help

Seven videos, about two hours, covering 31 of the 50 marks.

Units 1–2 β€” Descriptive Statistics

β–Ά Frequency tables, grouped mean, median and mode
The first two are the closest match to the class's Georgia-hospital worked example. Pairs with Unit 1 Concept 5 and practice problems A1–A2.
β–Ά Histograms and ogives β€” reading the mode and median off a chart
Pairs with Unit 1 Concept 4 and practice problem A3.
β–Ά Skewness, kurtosis and the coefficient of variation β€” the Q3 (a) vocabulary
The last one is the fastest route to the whole Q3 (a) vocabulary. Pairs with Unit 2 Concepts 3–4 and practice problems B3–B4.
β–Ά Chebyshev's theorem
Pairs with Unit 2 Concept 5 and practice problem B5.

Unit 3 β€” Probability

β–Ά Addition, multiplication, conditional probability and independence
The first is the best single video for the mutually-exclusive-vs-independent distinction, which is the theory question this unit is most likely to produce. Pairs with Unit 3 Concept 2 and practice problems C1–C3.
β–Ά Bayes' theorem β€” the highest-value topic in this unit
StatQuest's version builds the intuition β€” why a rare condition makes most positives false β€” which is exactly the "managerial insight" sentence both papers ask for. Pairs with Unit 3 Concept 4 and practice problems D1–D4.

Unit 4 β€” Probability Distributions

β–Ά Binomial β€” solved problems
Pairs with Unit 4 Concept 2 and practice problems E1–E3.
β–Ά Poisson β€” the Q1 (b) slot
"Poisson vs Binomial" is the one to watch if you keep picking the wrong distribution β€” that choice, not the arithmetic, is what loses marks in Q1 (b). Pairs with Unit 4 Concept 3 and practice problems E4–E6.
β–Ά Normal distribution, standardising and reading the table β€” the Q2 (b) slot
Watch the z-table video with your own table beside you. Most of these use the cumulative table; your class's table gives the area from 0 to z. The conversion rules are here. Pairs with Unit 4 Concept 4 and practice problems F1–F4.

Units 5–6 β€” Sampling Theory

β–Ά Sampling distribution of the mean and the standard error β€” the Q1 (a) and Q5 (b) slots
The first two are worth 7 marks in both papers β€” nothing else on this page has a better return per minute. Pairs with Unit 5 Concept 4 and practice problems G1–G3.
β–Ά Sampling distribution of a proportion
Watch for the np β‰₯ 5 and nq β‰₯ 5 check β€” every good video does it explicitly, and so should your answer. Pairs with Unit 6 Concept 2 and practice problems H1–H3.
β–Ά Finite population correction
The second shows it in Excel, which is what the syllabus's "MS Excel" outcome asks for. Pairs with Unit 5 Concept 4 and practice problem G4.
β–Ά Margin of error and sample size determination β€” the Q3 (b) slot
Joshua Emmanuel for the mean formula, Jennifer Ward for the proportion formula β€” those are the Final's and the Re-Exam's two versions of this slot. Pairs with Unit 6 Concept 5 and practice problems I1–I5.

⚠ Where these videos will disagree with your class
  • The z table. Almost every video uses the cumulative table (Ξ¦(z), running to 1.0000). Your class's table gives the area from 0 to z (running to 0.4998). Neither is wrong; the arithmetic differs. Keep the conversion rules open while you watch.
  • Kurtosis benchmarks. Videos that use Excel's KURT() compare against 0. Your papers compare against 3. Use 3.
  • Sample-size z at 99%. Some use 2.58, some 2.576. Either is accepted; the official key uses 2.576.
  • Videos that continue past your syllabus. Many sampling-distribution videos go on into confidence intervals, t-distributions and hypothesis testing. Those are Units 7–14, outside the mid-term. Stop when the video does.
How to actually use a video on a numerical subject
  1. Read the concept here first. Ten minutes on the unit page makes an hour of video make sense.
  2. Pause before every worked example and try it on paper. Watching someone else solve a problem builds recognition, not skill.
  3. Copy the layout, not just the answer. The marks in a 5-mark question are for naming the distribution, writing the formula, drawing the curve and stating the conclusion in words.
  4. Then do the matching practice problems here without looking. That is the only step that actually tests whether it stuck.