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CCambridge EPearson Edexcel AQAAQA OCROCR

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Study space Mistake Bank AI Marking

Subjects

CCambridge EPearson Edexcel AQAAQA OCROCR

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Mathematics · 9709

Probability & Statistics 1

01Representation of Data

Data and Display Choice2

Types of Data Choosing a Representation

Stem-and-Leaf Diagrams1

Stem-and-Leaf Diagrams

Histograms1

Cumulative Frequency2

Constructing Cumulative-Frequency Graphs Reading Cumulative-Frequency Graphs

02Measures of central tendency

Modes and Means2

Mode and the Modal Class The Mean

Mean Totals and Coding2

Combined Means and Changing Data Coded Data and Totals

Median and Measure Choice2

The Median Choosing an Average

03Measures of variation

Range and Quartiles3

Why spread matters and the range IQR and box plots Quartiles from cumulative frequency

Standard Deviation1

Standard deviation

Totals and Coding2

Variance from totals and combined data Coded data: shift and scale

04Probability

Probability Foundations1

Probability language and sample spaces

Event Relationships2

OR, exclusive events and Venn diagrams AND and independent events

Conditional Events and Trees2

Conditional probability Dependent events and probability trees

05Permutations and combinations

Counting Arrangements2

Counting choices and factorials Arrangements in a line

Restricted and Partial Arrangements3

Arrangements with restrictions Digit arrangements Arranging r from n

Selections and Counting Probability3

Permutations or combinations?Combination casework Combinations in probability

06Probability distributions

Random Variables and Distribution Tables4

Discrete random variables Building a distribution from outcomes Distributions from selections and stopping rules Completing and using a distribution

Expectation and Spread2

Expectation of a random variable Variance and standard deviation

07The binomial and geometric distributions

Binomial Models4

Recognising a binomial model Binomial probabilities Binomial mean and variance Binomial complements and least n

Waiting for Successes3

The geometric distribution Later success on a given trial Geometric mean and mode

08The normal distribution

Normal Models and Probability3

Continuous variables and normal curves The standard normal distribution and Φ Standardising a normal variable

Normal Models in Context2

Using normal probabilities in context Finding μ and σ from probabilities

Normal Approximation to the Binomial2

When a normal approximation is suitable Continuity correction and the complete method

Revision Notes Practice Questions Topical Past Paper Questions Past Papers

Resources

Revision Notes Practice Questions Topical Past Paper Questions Past Papers

Probability & Statistics 1/The normal distribution

When a normal approximation is suitable

Practise The normal distribution

Contents

Mathematics · 9709

Probability & Statistics 1

01Representation of Data

Data and Display Choice2

Types of Data Choosing a Representation

Stem-and-Leaf Diagrams1

Stem-and-Leaf Diagrams

Histograms1

Cumulative Frequency2

Constructing Cumulative-Frequency Graphs Reading Cumulative-Frequency Graphs

02Measures of central tendency

Modes and Means2

Mode and the Modal Class The Mean

Mean Totals and Coding2

Combined Means and Changing Data Coded Data and Totals

Median and Measure Choice2

The Median Choosing an Average

03Measures of variation

Range and Quartiles3

Why spread matters and the range IQR and box plots Quartiles from cumulative frequency

Standard Deviation1

Standard deviation

Totals and Coding2

Variance from totals and combined data Coded data: shift and scale

04Probability

Probability Foundations1

Probability language and sample spaces

Event Relationships2

OR, exclusive events and Venn diagrams AND and independent events

Conditional Events and Trees2

Conditional probability Dependent events and probability trees

05Permutations and combinations

Counting Arrangements2

Counting choices and factorials Arrangements in a line

Restricted and Partial Arrangements3

Arrangements with restrictions Digit arrangements Arranging r from n

Selections and Counting Probability3

Permutations or combinations?Combination casework Combinations in probability

06Probability distributions

Random Variables and Distribution Tables4

Discrete random variables Building a distribution from outcomes Distributions from selections and stopping rules Completing and using a distribution

Expectation and Spread2

Expectation of a random variable Variance and standard deviation

07The binomial and geometric distributions

Binomial Models4

Recognising a binomial model Binomial probabilities Binomial mean and variance Binomial complements and least n

Waiting for Successes3

The geometric distribution Later success on a given trial Geometric mean and mode

08The normal distribution

Normal Models and Probability3

Continuous variables and normal curves The standard normal distribution and Φ Standardising a normal variable

Normal Models in Context2

Using normal probabilities in context Finding μ and σ from probabilities

Normal Approximation to the Binomial2

When a normal approximation is suitable Continuity correction and the complete method

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