Exams are coming!
Get ready with premium notes and study guides!

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

  • 16 Results
  • About SBU
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
View Document
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
View Document
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
View Document
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
View Document
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
View Document
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
View Document
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
View Document
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
View Document
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
View Document
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
View Document
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.
View Document
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
View Document
View all professors (3+)

Class Notes (1,100,000)
US (480,000)
SBU (6,000)
BUS (200)
BUS 215 (10)