Statistics - C 104
- Explain the needs and functions of the field of statistics.
- Construct and implement the tasks for data collection and data presentation.
- Explain the purpose of descriptive measures.
- Develop and apply methods of inferential statistics.
- Compute and interpret probabilities.
- Provide accurate estimation of the population mean by applying confidence. interval for known and unknown standard deviation.
- Explain the relationship between sample size, standard deviation, confidence level and margin of error for confidence interval for µ
- Explain the logic behind hypothesis testing.
- Discuss the basic strategy for comparing the means of two populations based on independent/paired samples.
- Explain the reasoning behind the Chi-Square goodness-of-fit-test.
- The Nature of Statistics
- Organizing Data
- Descriptive Measures
- Descriptive Methods in Regression and Correlation
- Probability and Random Variables
- The Normal Distribution
- The Sampling Distributions of the Sample Mean
- Confidence Intervals for One Population Mean
- Hypothesis Tests for One Population Mean
- Inferences for Two Population Means
- Inferences for Population Proportions
- Chi-Square Procedures
- Analysis of Variance (ANOVA)
- Inferential Methods in Regression and Correlation
Neil A. Weiss. Elementary Statistics, 8th Edition. Pearson 2011.
Levine, Krehbiel & Berenson. Business Statistics, A First Course. 6th Edition. Prentice Hall. 2012.