INTRODUCTION,CRITERIA FOR DECISIONS,PROBABILITY MODELS: SIMPLE AND COMPOUND EVENTS,PROBABILITY MODELS: CONDITIONAL PROBABILITY,EXPECTED VALUE AND VARIABILITY.
DESCRIPTIVE STATISTICS,BACKGROUND FOR STATISTICAL INFERENCE,BASIC STATISTICAL INFERENCE,FURTHER TOPICS IN STATISTICAL INFERENCE,ADDITIONAL TOPICS.
DATA SOURCES AND PRESENTATION,INDEXES AND THEIR USES,CONSUMER PRINCE INDEX,TIME SERIES ANALYSIS,SEASONALITY.
STATISTICS,DESCRIPTIVE ANALYSIS AND PRESENTATION OF SINGLE-VARIABLE DATA,DESCRIPTIVE ANALYSIS AND PRESENTATION OF SINGLE-VARIABLE DATA (CONTINUED),DESCRIPTIVE ANALYSIS AND PRESENTATION OF BIVARIATE DATA,PROBABILITY.
WHAT IS STATISTICS?,DATA DESCRIPTION,PROBABILITY AND PROBABILITY DISTRIBUTIONS,INFERENCES ABOUT U,INFERENCES ABOUT U1-U2.
UNDERSTANDING THE USE OF COMPUTERS,DESCRIPTIVE STATISTICS AND RELATED PREPACKAGED COMPUTER PROGRAMS,SETS, PERMUTATIONS, COMBINATIONS, AND THE BINOMIAL THEOREM, WITH A PREPACKAGED COMPUTER PROGRAM,ELEMENTARY PROBABILITY CONCEPTS WITH A PREPACKAGED PROGRAM FOR THE BINOMIAL EXPERIMENT,RANDOM VARIABLES, NORMAL DISTRIBUTIONS, AND RELATED PREPACKAGED PROGRAMS.
WHAT IS STATISTICS,GRAPHICAL PRESENTATION OF DATA,DESCRIBING DATA-FREQUENCY DISTRIBUTIONS,DESCRIBING DATA-MEASURES OF CENTRAL TENDENCY,MEASURES OF DISPERSION AND SKEWNESS.
OUR BIOLOGIC WORLD,OUR POLITICAL WORLD,OUR SOCIAL WORLD,OUR PHYSICAL WORLD.
DESCRIPTION,FROM DESCRIPTION TO DECISION MAKING, DECISION MAKING.
KURVE NORMAL,STATISTIK INFERENSIAL-ESTIMASI,STATISTIK INFERENSIAL-PENGETESAN HIPOTESA, PERBEDAAN ANTARA DUA MEAN,TEKNIK-TEKNIKM KORELASI,CHI KWADRAD.