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
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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
Zscores and find the X – value based on percentile.
13)
Sampling Distribution, Central Limit theorem – Covered in class
14)
TDistribution, how to get the value from ttable.
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 1Population case., Read Minitab and learn to fillin the
value in Minitab printout. Assumptions and how to check them.
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 Summer '07
 Lv
 Business, Normal Distribution, Standard Deviation, Interest Rates, online broker

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