STAT2361 - STATISTICS FOR BUSINESS AND ECONOMICS - Birzeit University

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final stat

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1.1 - 1.2 Applications in Business and Economics - Data

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1.3 - 1.4 - 1.5 Data Sources - Descriptive Statistics - Statistical Inference

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2.1 Summarizing Qualitative Data

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2.2 Summarizing Quantitative Data

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2.3 The Stem and Leaf Display

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2.4 Crosstabulations and Scatter Diagrams

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3.1 Measures of Location

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3.2 Measures of Variability

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3.3 Measures of Distribution Shape

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3.4 Exploratory Data Analysis

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3.5 Measures of Association Between Two Variables

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3.6 The Weighted Mean and Working with Grouped Data

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4.1 Experiments and Counting Rules

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4.2 Events and Their Probability

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4.3 Some Basic Relationships of Probability

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4.4 Conditional Probability

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5.1 Random Variables

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5.2 Discrete Probablity Distribution

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5.3 Expected Value and Variance

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5.4 Binomial Probability Distribution

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5.5 Poisson Probability Distribution

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6.1 Uniform Probability Distribution

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6.2 Normal Probability Distribution

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6.3 Normal Approximation of Binomial Probabilities

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6.4 Exponential Probability Distribution

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7.1 Sampling

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7.2 Selecting a Sample

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7.3 Point Estimation

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7.4 Introduction to Sampling Distribution

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7.5 Sampling Distribution of x bar

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7.6 Sampling Distribution of p bar

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7.7 Other Sampling Methods

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8.1 Population Mean when sigma is known

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8.2 Population Mean when sigma is unknown

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8.3 Determining the Sample Size

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8.4 Population Proportion

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9.1 Developing Null and Alternative Hypotheses

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9.2 Tupe I and Type II Errors

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9.3 Hypothesis Testing about the Population Mean when sigma is known

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9.4 Hypothesis Testing about the Population Mean when sigma is unknown

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9.5 Hypothesis Testing about Proportion p

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Lecture Notes by Students HUB

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ch 4 stat

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ch 5 stat

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stat ch 1.2.3.12

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5.4 Binomial Probability Distribution Table

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5.5 Poisson Table

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6.2 Standard Normal Table - z

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7.2 Random Numbers

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8.2 Population Mean when sigma is unknown_T Table

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