# Quantity Analysis

**Topics:**Normal distribution, Probability theory, Statistics

**Pages:**2 (421 words)

**Published:**December 4, 2012

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Class: DipCOM5 A & B (by Mr Caleb Tan)

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Assessments Dates:

1. Quiz in Lesson 6 (Chap 1-4, 20%): 14 May 2012

2. Assignment due on Lesson 9 (30%): 21 May 2012

3. Exam (50%): To be advised by Kaplan

Lesson| Topic| Chapter| |

Lesson 1| The Nature of Statistics1.1 Statistics basics1.2 Simple random sampling1.3 Other sampling designs| 1| | Lesson 2| Organizing Data2.1 Variables & data2.2-3 Quantitative & qualitative data2.4 Distribution shapes| 2| | Lesson 3| Descriptive Measures3.2 Measures of centre & variation3.3 Five-number summary: Boxplots3.4 Use of samples| 3| | Lesson 4| Probability 1 – Basics4.1 Probability basics4.2 Events 4.3 Some rules of probability| 4| | Lesson 5| Probability 2: Conditional4.5 Conditional probability4.7 Bayes’s rule4.8 Counting rules| 4| | Lesson 6| Discrete Random Variables5.1 Probability distribution5.2 Mean & standard deviation5.3 Binomial distribution5.4 Poisson distribution| 5| Quiz| Lesson 7| Nominal Distribution6.2 Standard normal curve6.3 Normally distributed variables6.4 Normal probability plots| 6| |

Lesson| Topic| Chapter| |

Lesson 8| Sampling Distribution of the Sample Mean7.1 Sampling error7.2 Mean & standard deviation of the sample mean7.3 Sampling distribution| 7| | Lesson 9| Confidence intervals (one population mean)8.1 Estimating a population mean8.2 One population – when is known8.3 Margin of error8.4 One population – when is unknown| 8| Assignment | Lesson 10A| Hypothesis 19.1 Nature of hypothesis testing9.2-3 Critical-Value approach9.4 One population – when is known| 9| | Lesson 10B| Hypothesis 29.5 One population – when is unknown9.6 Wilcoxon signed-rank test9.7 Type II error probabilities| 9| | Lesson 11A| Inferences...

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