# Final Review - Flashcards

## Flashcard Deck Information

 Class: MKTG 4154 - Marketing Research Subject: Marketing University: Virginia Polytechnic Institute And State University Term: Fall 2014
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 Five Types of Statistical Analysis 1. Descriptive 2. Inferential3. Differences4. Associative 5. Predictive Descriptive Analysis mean, median, mode, frequency distribution, range, std. deviation Inferential Analysis Confidence Interval, Hypothesis Test Differences Analysis t-test, ANOVA
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 Associative Analysis correlation, chi-square test Predictive Analysis Regression Parameters Represent "what we wish to know" about a population Statistics Are used to estimate population parameters
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 Statistical Inference a set of procedures in which the sample size and sample statistic are used to make an estimate of the corresponding population parameter Sample Statistic usually a mean or a percentage Standard Error the measure of variability in the sampling distribution = s / sq.rt. n =sq.rt. (p*q/n) Confidence Interval the degree of accuracy desired by the researcher stated in the form of a range with an upper and lower boundary
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 Null Hypothesis -What you assume to be true until presented with enough evidence to reject it -You typically want to disprove it -Almost always includes an = sign Alternative Hypothesis The opposite of the null hypothesis If your hypothesis is correct... it will fall in the confidence interval (known as supported)
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## List View: Terms & Definitions

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Five Types of Statistical Analysis1. Descriptive
2. Inferential
3. Differences
4. Associative
5. Predictive
Descriptive Analysismean, median, mode, frequency distribution, range, std. deviation

Inferential AnalysisConfidence Interval, Hypothesis Test
Differences Analysist-test, ANOVA
Associative Analysiscorrelation, chi-square test
Predictive AnalysisRegression
ParametersRepresent "what we wish to know" about a population
StatisticsAre used to estimate population parameters
Statistical Inferencea set of procedures in which the sample size and sample statistic are used to make an estimate of the corresponding population parameter
Sample Statisticusually a mean or a percentage
Standard Errorthe measure of variability in the sampling distribution

= s / sq.rt. n

=sq.rt. (p*q/n)
Confidence Intervalthe degree of accuracy desired by the researcher stated in the form of a range with an upper and lower boundary
Null Hypothesis-What you assume to be true until presented with enough evidence to reject it

-You typically want to disprove it

-Almost always includes an = sign

Alternative HypothesisThe opposite of the null hypothesis
If your hypothesis is correct...it will fall in the confidence interval (known as supported)