+0
Karma
Class:  MKTG 4154  Marketing Research 
Subject:  Marketing 
University:  Virginia Polytechnic Institute And State University 
Term:  Spring 2013 
Descriptive Statistics  describes characteristics of population 
Inferential Statistics  Draws conclusions about whole populations from a sample 
Frequency Distribution  A set of data organized by summarizing the number of times a value occurs 
Percentage Distribution  A frequency distribution organized into a table or graph summarizing % values 
Probability  The long run relative frequency with which an event will occur (adds up to 1) 
Proportion  a percentage of elements that meet some criterion 
TopBox scores  proportion of respondents who chose the most positive choice

Deviation scores  indicates how far an observation is from the mean 
Variance  A measure of dispersion.

Standard deviation  The index of distributions spread 
Normal distribution  99% of its values are within 3 standard deviations from the mean 
Standardized normal distribution  purely theoretical probability distribution that reflects a normal curve for the standardized value, z 
Characteristics of standardized normal distribution 

Standardized values  used to compare an individual value to the population mean in units of the standard deviation = value to be transformed mean / standard deviation 
Sampling distribution  a probability distribution of sample means for all possible samples of a certain size drawn from a particular population 
Standard error of the mean  the standard deviation of the sampling distribution 
Central limit theorem  as a sample size increases, the distribution of approaches normal distribution 
Point estimates  an estimate of the population mean in the form of a single value, usually the sample mean 
confidence interval estimate  a specified range of numbers within which a population mean is expected to lie

Confidence level  a percentage that tells how confident a researcher can be about being correct

Random sampling error  varies with samples of different sizes 
diminishing returns  a random sampling error is inversely proportional to the square root of n 
heterogenous/homogenous  heterogeneous population: has more variance and requires a larger sample Homogeneous population: has less variance, a smaller standard deviation, and permits a smaller sample 
Magnitude of error  aka confidence interval How precise must an estimate be? 
sequential sampling  conducting a pilot study to estimate the population parameters so that another, larger sample of appropriate size may be drawn 
Front 
Back 


Descriptive Statistics  describes characteristics of population  
Inferential Statistics  Draws conclusions about whole populations from a sample  
Frequency Distribution  A set of data organized by summarizing the number of times a value occurs  
Percentage Distribution  A frequency distribution organized into a table or graph summarizing % values  
Probability  The long run relative frequency with which an event will occur (adds up to 1)  
Proportion  a percentage of elements that meet some criterion  
TopBox scores  proportion of respondents who chose the most positive choice
 
Deviation scores  indicates how far an observation is from the mean  
Variance  A measure of dispersion.
 
Standard deviation  The index of distributions spread  
Normal distribution  99% of its values are within 3 standard deviations from the mean  
Standardized normal distribution  purely theoretical probability distribution that reflects a normal curve for the standardized value, z  
Characteristics of standardized normal distribution 
 
Standardized values  used to compare an individual value to the population mean in units of the standard deviation = value to be transformed mean / standard deviation  
Sampling distribution  a probability distribution of sample means for all possible samples of a certain size drawn from a particular population  
Standard error of the mean  the standard deviation of the sampling distribution  
Central limit theorem  as a sample size increases, the distribution of approaches normal distribution  
Point estimates  an estimate of the population mean in the form of a single value, usually the sample mean  
confidence interval estimate  a specified range of numbers within which a population mean is expected to lie
 
Confidence level  a percentage that tells how confident a researcher can be about being correct
 
Random sampling error  varies with samples of different sizes  
diminishing returns  a random sampling error is inversely proportional to the square root of n  
heterogenous/homogenous  heterogeneous population: has more variance and requires a larger sample Homogeneous population: has less variance, a smaller standard deviation, and permits a smaller sample  
Magnitude of error  aka confidence interval How precise must an estimate be?  
sequential sampling  conducting a pilot study to estimate the population parameters so that another, larger sample of appropriate size may be drawn 
© Copyright 2020 , Koofers, Inc. All rights reserved.
The information provided on this site is protected by U.S. and International copyright law, and other applicable intellectual property laws, including laws covering data access and data compilations. This information is provided exclusively for the personal and academic use of students, instructors and other university personnel. Use of this information for any commercial purpose, or by any commercial entity, is expressly prohibited. This information may not, under any circumstances, be copied, modified, reused, or incorporated into any derivative works or compilations, without the prior written approval of Koofers, Inc.