Statistics. Basic principles (Natalia Shyriaieva)

071. The Basic Objective of Regression Analysis
072. Ordinary Least Squares Method (the line of best fit)
073. The Y-Values Are Assumed to Be Normally Distributed
074. The Standard Error of the Estimate: A Measure of Goodness-of-Fit
075. Correlation Analysis. Coefficient of Determination
076. Coefficient of Correlation
077. Interval Estimation in Regression Analysis
078. The Conditional Mean for Y
079. The Predictive Interval for a Single Value of Y
080. Hypothesis Test about the Population Correlation Coefficient
081. Testing Inferences about the Population Regression Coefficient. A Confidence interval for β1
082. Chapter Checklist. You Make the Decision
083. Time series analysis and forecasting/ Introduction
084. Time Series and Their Components
085. Secular Trend
086. The Seasonal Component
087. Cyclical Variations
088. Time-Series Models
089. Smoothing Techniques
090. Moving Averages
091. Exponential Smoothing
092. Decomposition of a Time Series
093. Seasonal Variation
094. Cyclical Variation
095. Irregular Variation
096. Chapter Checklist 7
097. Index numbers. Introduction
098. A Simple Price Index
099. Composite Price Indexes
100. Weighted Composited Price Indexes
101. Average of Relatives Method
102. Selection of the Base Period
103. Specific Indexes
104. Uses for the CPI
105. Chapter Checklist 8
106. Test your knowledge. Graphical Displays of Data
107. Numerical Measures of Central Tendency for Ungrouped Data
108. Numerical Measures of Variability for Ungrouped Data
109. Simple Regression
110. Sampling Distributions and the Central Limit Theorem
111. Confidence Intervals Large Samples
112. Literature
113. Distribution tables
114. Table B – Z-test (The Standard Normal Distribution)
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