Quantity Analysis
LESSON PLAN– Quantitative Analysis
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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 |
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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 |