Unformatted text preview: MidtermII plan Section 4.3 Definition of Binomial RV. Calculating the exact probability, P(X=x) (binompdf). Interpretation. Calculating the 3 different types of cumulative probabilities (binomcdf). Interpretation. Calculating mean, variance, and standard deviation of a binomial RV. Interpretation. Section 4.6 Calculating the 3 different types of cumulative probabilities of a normal random RV(normalcdf). Interpretation. Calculating the bottom and top percentiles (invnorm). Interpretation. Section 4.11 Understanding the Central Limit theorem, and calculating the cumulative probabilities of Sample mean. Interpretation. Section 5.1 Identifying the parameter of interest. Definition of point estimates. Interpretation. Section 5.3 Definition of confidence interval for population mean (tinterval), calculations and interpretation. Conditions and assumptions. Section 5.4 Point estimate and confidence interval for population proportion (1prop Zinterval), calculations and interpretation. Conditions and assumptions. Section 5.5 Understanding the relationships between margin of error(sampling error) confidence, and sample size Section 6.1 and 6.2 Definitions of Hypothesis statements, hypothesized value, Test statistic, Type I and II errors, pvalue. Section 6.5 Writing the Hstatements for the population mean and testing (ttest); Conditions and assumptions; Interpretation of alpha and pvalue. Section 6.6 Writing the Hstatements for the population proportion and testing (1prop Z test). Conditions and assumptions; Interpretation of alpha and pvalue. 1 ...
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This note was uploaded on 03/24/2011 for the course STAT 2101 taught by Professor Konda during the Fall '10 term at Temple.
 Fall '10
 Konda
 Statistics, Binomial, Probability, Variance

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