STSTID Journey FCS 504
Popular in Course
Popular in Family and Consumer Sciences
This 2 page Class Notes was uploaded by Delores Kessler on Friday October 23, 2015. The Class Notes belongs to FCS 504 at University of Idaho taught by Laurel Branen in Fall. Since its upload, it has received 19 views. For similar materials see /class/227853/fcs-504-university-of-idaho in Family and Consumer Sciences at University of Idaho.
Reviews for STSTID Journey
Report this Material
What is Karma?
Karma is the currency of StudySoup.
You can buy or earn more Karma at anytime and redeem it for class notes, study guides, flashcards, and more!
Date Created: 10/23/15
FCS 504 Spring 09 Basic Statistics Terms Population set of data that characterizes some phenomenon eg The weights of each 5yearold in Idaho Sample subset of data selected from a population eg The weights of 100 5yearolds in Idaho Statistical inference a decision estimate prediction or generalization about the population based on information contained in a sample e g Estimation of the average weight of all 5yearolds based on the sample Measures of Central Tendency for Quantitative Data Mean is the sum of the measurements divided by the number of measurements in a data set The symbol is an x with a line over it Median is the middle number when the measurements in a data set are arranged in ascending or descending order Mode is the measurement that occurs most frequently in the data set If median is less than the mean several larger values skewed data to the right If median equals mean symmetrical data set If median is greater than the mean several smaller values skewed data to the left Measures of Variability Range the largest measurement minus the smallest measurement Sample Variance for a sample of n measurements is equal to the sum of the squared distances from the mean divided by n l The symbol is s2 Sample Standard Deviation The positive square root of the sample variance The symbol is s Probability Terms Experiment process of making an observation or taking a measurement Simple event most basic outcome of an experiment Sample space of an experiment is the collection of all its simple events Two rules of assigning probabilities 1 All simple event probabilities must lie between 0 and l 2 The probabilities of all the simple events within a sample space must sum to l Branen de nition Probability What are the chances Normal Parametric Distribution MeanMedian Mode Symmetrical 68 of all values fall between one SD below mean amp one SD above mean 95 of all values fall between two SD below mean amp two SD above mean Central Limit Theorem For samples of sufficiently large size the real distribution of MEANS is almost always approximately normal The original variable can have any kind of distribution
Are you sure you want to buy this material for
You're already Subscribed!
Looks like you've already subscribed to StudySoup, you won't need to purchase another subscription to get this material. To access this material simply click 'View Full Document'