Videos for Statistics and Probability - IB
These comprehensive video lessons help IB Mathematics Applications & Interpretation (AI) students Standard Level (SL) and Higher Level (HL) understand and master the essential concepts needed for success in IB Exams. Each video focuses on Statistics and Probability and is aligned with the IB Mathematics Applications & Interpretation (AI) syllabus, ensuring focused learning on core principles, advanced applications, and practical problem-solving. Students can watch and rewatch anytime, anywhere, perfect for visual learners, reinforcing complex concepts, and understanding IB methodology. By using RevisionDojo's video lessons consistently, learners build deep understanding and enter the exam with confidence.
AHL 4.12—Data collection, reliability and validity tests
5 min
AIHL 4.12.1 surveys and questionnaires
AHL 4.12—Data collection, reliability and validity tests
7 min
AIHL 4.12.2 Reliability v validity
AHL 4.12—Data collection, reliability and validity tests
13 min
AIHL 4.12.3 Chi squared (categorising data)
AHL 4.12—Data collection, reliability and validity tests
17 min
AIHL 4.12.4 Chi squared (degrees of freedom)
AHL 4.12—Data collection, reliability and validity tests
AHL 4.13—Non-linear regression
AHL 4.14—Linear transformation of a single RV, E(X) and VAR(X), unbiased estimators
12 min
AIHL 4.14.1 Linear transformations of X
AHL 4.14—Linear transformation of a single RV, E(X) and VAR(X), unbiased estimators
11 min
AIHL 4.14.2 Linear combinations of n random variables
AHL 4.14—Linear transformation of a single RV, E(X) and VAR(X), unbiased estimators
12 min
AIHL 4.14.3 Unbiased estimates for the mean and variance
AHL 4.14—Linear transformation of a single RV, E(X) and VAR(X), unbiased estimators
9 min
AIHL 4.14.4 Unbiased estimates example questions
AHL 4.14—Linear transformation of a single RV, E(X) and VAR(X), unbiased estimators
AHL 4.15—Central limit theorem
AHL 4.16—Confidence intervals
AHL 4.17—Poisson distribution
AHL 4.18—T and Z test, type I and II errors
10 min
AIHL 4.18.1 Z-test one tailed
AHL 4.18—T and Z test, type I and II errors
9 min
AIHL 4.18.2 Z-test two tailed
AHL 4.18—T and Z test, type I and II errors
5 min
AIHL 4.18.3 T-test
AHL 4.18—T and Z test, type I and II errors
6 min
AIHL 4.18.4 Matched pairs
AHL 4.18—T and Z test, type I and II errors
7 min
AIHL 4.18.5 Testing for population proportion
AHL 4.18—T and Z test, type I and II errors
9 min
AIHL 4.18.6 Test for mean using Poisson distribution
AHL 4.18—T and Z test, type I and II errors
8 min
AIHL 4.18.7 Testing for Correlation
AHL 4.18—T and Z test, type I and II errors
10 min
AIHL 4.18.8 Type I an II Errors Intro
AHL 4.18—T and Z test, type I and II errors
10 min
AIHL 4.18.9 Normal errors
AHL 4.18—T and Z test, type I and II errors
12 min
AIHL 4.18.10 Poisson errors
AHL 4.18—T and Z test, type I and II errors
10 min
AIHL 4.18.11 Binomial errors
AHL 4.18—T and Z test, type I and II errors
AHL 4.19—Transition matrices – Markov chains
SL 4.10—Spearman’s rank correlation coefficient
SL 4.11—Expected, observed, hypotheses, chi squared, gof, t-test
8 min
FREE
AISL 4.1.1 Discrete v continuous data
SL 4.11—Expected, observed, hypotheses, chi squared, gof, t-test
11 min
AISL 4.1.2 Sampling techniques
SL 4.11—Expected, observed, hypotheses, chi squared, gof, t-test
11 min
AISL 4.11.1 Chi Square intro
SL 4.11—Expected, observed, hypotheses, chi squared, gof, t-test
17 min
AISL 4.11.2 Chi Squared test for independence
SL 4.11—Expected, observed, hypotheses, chi squared, gof, t-test
12 min
AISL 4.11.3 Chi squared goodness of fit
SL 4.11—Expected, observed, hypotheses, chi squared, gof, t-test
20 min
AISL 4.11.4 t test
SL 4.11—Expected, observed, hypotheses, chi squared, gof, t-test