AQA Statistics 1 (GCE)

Descripción

Mapa Mental sobre AQA Statistics 1 (GCE), creado por lorynjdavison el 21/02/2015.
lorynjdavison
Mapa Mental por lorynjdavison, actualizado hace más de 1 año
lorynjdavison
Creado por lorynjdavison hace casi 10 años
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Resumen del Recurso

AQA Statistics 1 (GCE)
  1. Numerical Measures
    1. Mode, Median and Mean
      1. Standard Deviation
        1. Linear Scaling
          1. Choice of Numerical Methods
          2. Probability
            1. Elementary Probability
              1. Addition Law + Mutually Exclusive Events
                1. Multiplication Law, Conditional Probability + Independent Events
                2. Binomial Distribution
                  1. Discrete Random Variables
                    1. Conditions for applying a Binomial Distribution
                      1. Calculation of Binomial probabilities using the formula
                        1. Calculation of binomial probabilities using tables
                          1. The mean, variance and standard deviation of a binomial distribution
                          2. Normal Distribution
                            1. Continuous Random Variables
                              1. Properties of Normal Distributions
                                1. Calculations of Probabilities
                                  1. The mean, variance and standard deviation of a normal distribution
                                  2. Estimation
                                    1. Population and Sample
                                      1. Unbiased estimates of a population mean and variance
                                        1. The sampling distribution of the mean of a random sample from a normal distribution
                                          1. The Central Limit Theorem
                                            1. Confidence Intervals for the mean of a normal distribution with known variance
                                              1. Confidence Intervals for the mean of a distribution with unknown variance using a normal approximation
                                                1. Inferences from confidence intervals
                                                2. Correlation and Regression
                                                  1. Calculation and interpretation of the product moment correlation coefficient
                                                    1. Identification of response and explanatory variables
                                                      1. Calculation of least squares regression lines
                                                        1. Calculations of residuals
                                                          1. Linear Scaling
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