4

. Descriptive Statistics: Numerical Measures -- 4. Introduction to Probability -- 5. Discrete Probability

001.4 KIR

4.1 Introduction -- 4.2 SCMs Based on a Single Time Series Y_it -- 4.3 SCMs Based on Bivariate Time

-- 4.1.Introduction -- 4.2.Identifying Distributions from Theory Alone -- 4.3.Using Data: Estimating

. Describing Data and Distributions -- 3. The Shape of Distributions -- 4. The Normal Curve -- 5. Four

-- 4.2.Standard Scores -- 4.3.Skewness and Kurtosis Statistics -- 4.4.SPSS -- 4.5.Templates for

-- Percentile and Percentile Rank Tables -- SPSS Connection -- 4.Graphs and Plots -- Why Use Graphs? -- Graphing

, Ratios and Rates, Frequency Distributions, Charts and Graphs. -- 3. Measures of Central Tendency. -- 4

.5.The Poisson Distribution -- 2.4.Continuous Probability Distributions -- 2.4.1.Characteristics of a

-- 3. Graphic presentation -- 4. Measures of central tendency -- 5. Measures of variability -- 6. The

4

Tables -- 4. Graphs and Plots -- Part III. Central Tendency: "Bull's-Eye" -- 5. Mode, Median, and Mean

1. Sources of error -- 2. Hypotheses : the why of your research -- 3. Collecting data -- 4

distributions: getting the picture ; Lecture 3. Inference: how close? How confident? ; Lecture 4. Describing

differences between groups -- 4. The special case of two groups : the t test -- 5. How to analyze rates and

analysis -- 4. Analysing the right problem -- 5. Understanding the big information picture -- 6

1. Introducing Statistics -- 2. Graphing Variables -- 3. The Spread of a Distribution -- 4

Univariate Data. Ch. 3. Basic Probability Concepts and Problems in Assessing Probabilities. Ch. 4. Sampling

. Percentiles and Standard Scores -- 4. Correlation -- 5. Other Correlation Topics -- 6. Introduction to

1. Statistics: a means to an end -- 2. Sampling -- 3. Tabulation and graphic representation -- 4