{[ promptMessage ]}

Bookmark it

{[ promptMessage ]}



Info iconThis preview shows pages 1–3. Sign up to view the full content.

View Full Document Right Arrow Icon
BUAD310 NAME: _______________________ SAMPLE ______________________ BUAD 310 LAB TIME: __________________________________________________ USC ID: _________________________________________________ Dr. ARIF ANSARI SAMPLE Miderm 1 This exam is closed book. 1 Sheets (2 pages) of formula and definitions is allowed. Write your answers on the exam sheets. If you need more space, continue your answer on the back of the page. Make sure you have all *** pages (*** pages)! The exam is 75 minutes long. Total of *** points. They are not equally weighted, nor are they of equal difficulty. The number of points each question is worth is printed with the question. Read the questions carefully. If you are unsure of the interpretation, come ask. Unless otherwise stated in a question, you must show your work to obtain full credit. If you can't complete a problem for any reason, explain what concepts are at issue, and how you would attack the problem. It is, in any case, a good idea to explain what your reasoning is in English. If I can't tell that you understood what you were doing, I can't give you credit, particularly if you get the wrong numerical answer. GOOD LUCK! The topics for MIDTERM 1 and checklist 1
Background image of page 1

Info iconThis preview has intentionally blurred sections. Sign up to view the full version.

View Full Document Right Arrow Icon
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.
Background image of page 2
Image of page 3
This is the end of the preview. Sign up to access the rest of the document.

{[ snackBarMessage ]}

Page1 / 14


This preview shows document pages 1 - 3. Sign up to view the full document.

View Full Document Right Arrow Icon bookmark
Ask a homework question - tutors are online