Probability - Study notes
Probability likelihood of obtaining a specific sample form a population
Formula: probability of x = number of outcomes / total number of possible outcomes
Random sampling - each individual in the population has an equal chance of
Hypothesis
A Type I error is rejecting a true null hypothesisthat is, saying that the treatment has an
effect when, in fact, it does not
A Type II error is the failure to reject a false null hypothesis. In terms of a research study, a
Type II error occurs
Z scores study notes
Z-scores are numbers that specify accurately where a particular score fits into a distribution:
- they specify how many SDs above or below the mean any particular score falls
- A way to compare different distributions by standardizing
Wk 4 study variability
SS (sum of squares) the sum of squared deviation scores
Variance is the mean of squared deviations
SD (standard deviation) is the square root of the variance. It provides a measure of th SD from
the mean.
Important = a SD or varianc
Biased vs Unbiased - study notes
Biased stats that on average is over or under estimate their corresponding population
parameters.
Unbiased stats that on average are equal to their corresponding population parameters.
Population
PARAMETER
N
Standard devia
Wk 3 study notes - central tendency
Mean will be pulled and affected by the skewness
Mean, medium and mode = measure of central tendancy
Central Tendency (CT) uses mean to make inferences
Mean : M = sum of X / N
Medium: the middle number or if there are t
Stats notes week 2 : frequency distributions
Polygon used for intervals and ratio
Histogram (bars are touching) used to display data from interval or ratio
Bar graph leaves a space btw adjacent bars and is used with nominal or ordinal data
Frequency distr
Stats Ch 8 Tutorial
1. Which of the following accurately describes a hypothesis test?
a) a descriptive technique that allows researchers to describe a sample
b) a descriptive technique that allows researchers to describe a population
c) an inferential tec
Stats Tutorial Ch 7
Distribution of sample means characteristics:
- The larger your sample size (n) the less variable the distribution becomes
- The more samples you collect the more it will look like a normal distribution
- Sample means (M) will pull up
Class 1
Common sense: can outperform statistics in several ways such as recognizing patterns(handwriting, human language,
etc.) than computer programs based on statistics.
In other cases, statistics can outperform common sense in other ways that require r
Futsal Assignment
Curtis Bernicky
214753685
Section N
Stephanie Bowerman
Practicum TM MNGYM
Futsal Assignment
Thursday, February 17, 2017
2016-2017 HH PKIN 0330 0.0
York University
Key Rules:
Kick In- When a team kicks the ball out on one of the touch li
Chapter 1: Introduction to Statistics
Chapter Outline
1.1 Statistics, Science, and Observation
Definitions of Statistics
1.2 Populations and Samples
What are They?
Variables and Data
Parameters and Statistics
Descriptive and Inferential Statistical Method
Mental Illness
Sean Coleman MSW RSW
Mental Health Disabilities Counsellor/Educator
Defining Mental Illness
Deviation from social norms or from
normal behaviour
Personal Distress
Disability or Dysfunction
Lose touch with reality
2
DSM Definition of a Menta