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Sample_Midterm1

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BUAD310 1) Population, Sample, Parameter, Statistics, Variable etc., - 2) Different Kinds of Variables – Qualitative, Quantitative, Nominal, Ordinal, Discrete and Continuous. Univariate Analysis. 3) Graphical displays: Histogram, Stem plot, Bar chat, Box plot, Pie chart Know when to use which plots, How to draw them, how to read them, how to identify outliers and skewness, tell unimodal or bimodal etc., Descriptive Statistics. – Read and interpret Minitab printout. 4) Measures of Center – Mean, Median, Mode, and Trimmed Mean – calculate, estimate and interpret. 5) Measures of location – Minimum, Maximum, Q1, Q3,Mean, Median, and Mode – calculate, estimate and interpret. 6) Measures of Variability – St. Dev, Variance, IQR, Range – calculate, estimate and interpret 7) Measures of Relative Variability –C.O.V – calculate, estimate and interpret, Alternative measures for C.O.V 8) Skewness – must be able to tell skewness from the graph and descriptive stats. 9) 5- number summary. 10) Robustness – Should be able to tell whether it is robust measure or not. 11) Empirical Rule & Chebychev's rule 12) Normal distribution – General Normal and Standard Normal how to calculate probabilities and Z-scores and find the X – value based on percentile. 13) Sampling Distribution, Central Limit theorem – Covered in class 14) T-Distribution, how to get the value from t-table. 15) Simple random sample, stratified sampling, systematic sampling and cluster sampling. – Know how to tell the type of sampling. 16) Estimation of Population Parameters 17) Point Estimation, Interval Estimation – know the difference, which is better and why? 18) The properties of estimators. – Unbiased, Consistent and Efficient. 19) To calculate the confidence intervals for 1-Population case., Read Minitab and learn to fill-in the value in Minitab printout. Assumptions and how to check them.
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