# Class Notes for BUS 215 at Stony Brook University (SBU)

• 16 Results
SBUBUS 215Shane HigueraSpring

## BUS 215 Lecture 1: Business 215 1-27-16

OC13786034 Page
8 Dec 2016
3
Contact through email give name, course and section number. Data are plural and should only be used as plural. Codes are not actual number, but represe
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SBUBUS 215Aaron Young- Shin KimFall

## BUS 215 Lecture Notes - Lecture 2: Standard Deviation, Decision Rule, Test Statistic

OC8524923 Page
21 Mar 2016
32
The problem indicates a right-tail test, so the hypotheses would be: h0: 30,000 miles (dealer"s mean is not greater than the national average, h1: > 30
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SBUBUS 215Aaron Young- Shin KimFall

## BUS 215 Lecture Notes - Lecture 1: Poisson Distribution, Hypergeometric Distribution, Quartile

OC8524924 Page
4 Apr 2016
15
Mode (array function for multiple modes; highlight output range and use ctrl-shift- Quartile k (old excel method)* e. g. , k = 3. Percentile p (old exc
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SBUBUS 215Aaron Young- Shin KimFall

## BUS 215 Lecture Notes - Lecture 1: Central Tendency, Box Plot, Unimodality

OC8524929 Page
21 Mar 2016
26
Bus 215: sort the data and find maximum and minimum value of data. The data was sorted from the smallest to largest value to make it easiest to view. I
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SBUBUS 215Aaron Young- Shin KimFall

## BUS 215 Lecture Notes - Lecture 9: Test Statistic

OC8524921 Page
4 Apr 2016
23
Calculate p = x/n where x = number of successes and n = sample size. Check n 0 10 and n(1 0) 10 to ensure normality (some textbooks say 5 is sufficient
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SBUBUS 215Aaron Young- Shin KimFall

## BUS 215 Lecture Notes - Lecture 1: European Route E18, Scientific Notation

OC8524926 Page
4 Apr 2016
11
Rule a b x x x a b x. )a b x ab xy x y ln( ln ab b a a ln( ) b ln( ) a ln( ) b ln( ) 3 ln(2) ln(3) ln(8) ln(3) ln( ba b a ln( ) ln(2 ) 3ln(2) In statis
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SBUBUS 215herbertlewisFall

## BUS 215 Lecture Notes - Lecture 2: N100, Sampling Frame, Statistical Parameter

OC10911265 Page
12 Sep 2016
5
Population and samples: a population includes all objects of interest in a study, people, machines, products, investments, a sample is a representative
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SBUBUS 215Aaron Young- Shin KimFall

## BUS 215 Lecture Notes - Lecture 7: Binomial Distribution, Confidence Interval, American Statistical Association

OC8524928 Page
4 Apr 2016
21
If you are summing probabilities over several x values, you might get lucky and have positive errors cancel negative ones (but don"t count on it). Acco
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SBUBUS 215Aaron Young- Shin KimFall

## BUS 215 Lecture Notes - Lecture 3: Public Interest Research Group, Exploratory Data Analysis, Atorvastatin

OC8524925 Page
4 Apr 2016
11
The stem-and-leaf plot is a tool of exploratory data analysis (eda) that seeks to reveal essential data features in a simple way. A stem-and-leaf plot
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SBUBUS 215Aaron Young- Shin KimFall

## BUS 215 Lecture Notes - Lecture 13: F-Test, Used Cars, Test Statistic

OC8524926 Page
4 Apr 2016
17
The partial f test is designed to answer questions such as these by comparing two linear models for the same response variable. The extra sum of square
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SBUBUS 215Aaron Young- Shin KimFall

## BUS 215 Lecture Notes - Lecture 1: Significant Figures, Decimal Mark, Round-Off Error

OC8524922 Page
4 Apr 2016
11
To obtain the right answer, you need to use your calculator correctly and understand how to follow the rules for rounding based on significant digits.
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SBUBUS 215Aaron Young- Shin KimFall

## BUS 215 Lecture Notes - Lecture 13: Autocorrelation, Autoregressive Model, Capacity Utilization

OC8524927 Page
4 Apr 2016
23
Because autocorrelation is primarily a phenomenon of time series data, it is convenient to represent the linear regression model using t as a subscript
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