Popular in Statistics for health, life, and social sciences
Popular in Math
verified elite notetaker
This 2 page Study Guide was uploaded by kyle dunham on Friday March 4, 2016. The Study Guide belongs to Math 14500-02 at Ithaca College taught by James E Conklin in Spring 2016. Since its upload, it has received 23 views. For similar materials see Statistics for health, life, and social sciences in Math at Ithaca College.
Reviews for stats review
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: 03/04/16
Statistics Review Quantitative vs. Categorical -Quantitative: deals with numbers only and data. Ex: the height of children in the class. -Categorical: puts items in a category. One group vs another. Numerical measures of data: The mean: Average Median: The middle number Range: Max-Min Standard Deviation: How spread out the numbers are Variance: measures how far a set of numbers are spread out. Quartiles: Q1: Separates the bottom 25% of data from the top 75%. Q3: Seperates the bottom 75% from the top 25%. Q2: Median Outliers: numbers that are more than 1.5 IQR (interquartile range) away from Q1 and Q3. Extreme outliers are 3 times bigger or smaller (3 IQR). IQR: Interquartile range is Q3-Q1 Correlation: How closely related the two variables are to each other. We use graphs to see this. z-scores: formula= x-mean/standard deviation. Z-score tells us how many standard deviations we are from the mean. Characteristics of distributions: look over these terms: Symmetric (mean=median) Left skewed (mean<median) Right skewed (mean>median) Bell-Shaped (Normal distribution) Sampling with/without replacement: Bootstrap sample: sample with replacement from the original Introduction to Regression: -Least square lines (also called best fit lines)=goal is to approximate the data. Formual: y hat (calculated value for y)=mx+b -residuals: The vertical distance from a data point to the best fit line. Formual= y-y hat predictions: A guess based on the data 95% Rule for bell-shaped curves: If a distribution is bell shaped then about 95% of data value land within 2 Standard Deviations of the mean Experimentation Vs Observation: Observation should conclude causation and there could be confounding variables. Experimentation: Researcher decides often randomly who gets which treatment; there usually aren’t any volunteers. Association Vs Causation: Matched pair Vs Independent samples Population parameters vs. sample statistics: Parameters are for population and statistics are just for one single individual
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'