Study Guides (390,000)
CA (150,000)
York (10,000)
ADMS (1,000)
Quiz

ADMS 2320 Study Guide - Quiz Guide: Conditional Probability, Type I And Type Ii Errors, Level Of Measurement


Department
Administrative Studies
Course Code
ADMS 2320
Professor
Marwan Hassan
Study Guide
Quiz

This preview shows half of the first page. to view the full 3 pages of the document.
-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.
-Bell-shaped histogram
-Ogive cumulative relative frequency on y axis
-For interval data use ogive
-For time-series data use line chart
- Relationship between two variables is measured by scatter diagram
-Three relationships 1.Strong linear relationship 2. Medium-strength linear “” 3. Weak linear “”
- Positive and negative linear relationship
-Non-linear 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 1-1/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
1
Formula Sheet ADMS 2320 Prof. Yogi
3
4
2
Formula Sheet
Formula Sheet
Formula Sheet
Formula Sheet
pop
pop
deviations of the variable
Covariance
You're Reading a Preview

Unlock to view full version