ADMS 2320 Study Guide  Quiz Guide: Conditional Probability, Type I And Type Ii Errors, Level Of Measurement
by OC104672
School
York UniversityDepartment
Administrative StudiesCourse Code
ADMS 2320Professor
Marwan HassanStudy Guide
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Descriptive stats deals with organizing, summarizing, presenting data in a convenient/informative/useful way.
Inferential stats is a body of methods used to draw conclusions or inferences about characteristics of population based on sample data
Population is the group of all items of interest to a statistics practitioner(entire set of observations under study) descriptive measure is parameter
Sample is a set of data drawn from the studied population(is a subset of a population) descriptive measure for samp is statistic
Statistical inference is the process of making an estimate, prediction, decision about a population based on sample data
Confidence level is the proportion of times that an estimating procedure will be correct
Significance level measures how frequently the conclusion will be wrong
Descriptive stats includes graphical and tabular statistical methods
Variable is some characteristic of a population/sample
Values of variable are the possible observations of the variable
Data are the observed values of a variable
Interval data are real numbers (height/weight/distance) Also called quantitive or numerical
Nominal data are categories (1=married, 2=single) Also called qualitative or categorical
Ordinal data show that the order of the values have meaning (poor fair good v.good)
 Two methods for nominal data are graphical/tabular freq.distribution/rel.freq.distribution – bar chart/pie chart
 Techniques applied to single set of data is univirate; bivirate. to compare two nominal data used classification cross / bar chart(2&more)
Interval may be T into ordinal/nominal
Ordinal may be T into nominal
Nominal X
Number of Classes 1+3.3log(n) n=no of observations
Class width Range/Classes
Three shapes of histograms 1. Symmetrical 2. Positively Skewed 3. Negatively Skewed
Unimodal has one peak, Bimodal has two peaks.
Bellshaped histogram
Ogive – cumulative relative frequency on y axis
For interval data use ogive
For timeseries data use line chart
 Relationship between two variables is measured by scatter diagram
Three relationships 1.Strong linear relationship 2. Mediumstrength linear “” 3. Weak linear “”
 Positive and negative linear relationship
Nonlinear relationship
Measures of central location
Mean
Median – place in order, select middle two or one
Mode – most common
Range = Largest – Smallest
Variance
Standard Deviation is sq.root of variance
Chebysheffs Theorem the proportion of observations in any sam. That lie
 Within K standard deviations of the mean is at least 11/k2

Coefficient of variation is the set of observations in the st.dev of the observations
 Divided by their mean pop coeff CV= o/u sample coeff cv = s/x
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Formula Sheet – ADMS 2320 – Prof. Yogi
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Formula Sheet
Formula Sheet
Formula Sheet
Formula Sheet
pop
pop
Coefficient of correlation is the covariance divided by the standard
deviations of the variable
Covariance
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