- Belleview High School
- AICE Mathematics II with Statistics II
- Unit 14 - Hypothesis Testing
LOSITO, MICHAEL
Page Navigation
- Teacher Homepage
- Meet the Teacher
-
AICE Mathematics I with Statistics I
- Unit 1 - Quadratics
- Unit 2 - Functions and Graphs
- Unit 3 - Coordinate Geometry
- Unit 4 - Trigonometry
- Unit 5 - Sequences and Series
- Unit 6 - Differentiation
- Unit 7 - Integration
- Unit 8 - Representation, Location and Spread
- Unit 9 - Probability
- Unit 10 - Distributions
- Unit 11 - The Normal Distribution
-
AICE Mathematics II with Statistics II
- Unit 1 - Algebra
- Unit 2 - Exponential and Logarithmic Functions
- Unit 3 - Trigonometry
- Unit 4 - Numerical Solutions
- Unit 5 - Differentiation
- Unit 6 - Vectors
- Unit 6 - Vectors
- Unit 7 - Binomial Expansion and Rational Functions
- Unit 8 - Complex Numbers
- Unit 9 - Integration & Differential Equations
- Unit 10 - The Poisson Distribution
- Unit 11 - Linear Combinations of Random Variables
- Unit 12 - Continuous Random Variables
- Unit 13 - Sampling and Estimation
- Unit 14 - Hypothesis Testing
- Pre AICE Mathematics 3 (IGCSE)
- Pre AICE Physics
- AICE MATH I - Practice Papers
- AICE MATH II - Practice Papers
- AICE Math Resources
-
Chapter 6 – Hypothesis Testing: Continuous Variables
When students have completed this lesson they should be able to:
- Understand the nature of a hypothesis test
- Understand the difference between a one-tail and a two-tail test
- Formulate a null hypothesis and an alternative hypothesis
- Understand the terms ‘significance level’ , ‘rejection region’ , ‘acceptance region’ and ‘test statistic’
- Carry out a hypothesis test of a population mean for a sample drawn from a normal distribution of know variance, and also for a large sample
Chapter 7 – Hypothesis Testing: Discrete Variables
When students have completed this lesson they should be able to:
- Formulate hypothesis and carry out a test of a population proportion by direct evaluation of binomial probabilities or by a normal approximation, as appropriate
- Formulate hypothesis and carry out a test of a population mean using a single observation drawn from a Poisson distribution, using either direct evaluation of probabilities or by normal approximation, as appropriate
Chapter 8 – Errors in Hypothesis Testing
When students have completed this lesson they should be able to:
- Know what Type I and Type II errors are
- Calculate probabilities of Type I and Type II errors in the context of the normal, binomial, and Poisson distributions