NAME: ________________________
← marketing research ch 14 Test
marketing research ch 14
5 Written Questions
5 Matching Questions
- significance level
- univariate statistical analysis
- codes
- type II error
- effects coding
- a tests of hypothesis involving only ONE variable
- b error caused by FAILING to reject the null hypothesis when the alternative hypothesis is true; has probability of beta. Occurs when a researcher concludes that no relationship or difference exists when in fact one does exist
- c a critical probability associated with a statistical hypothesis test that indicates how likely an inference supporting a difference between an observed value and some statistical expectation is true. Acceptable level of Type 1 error
- d rules for interpreting, classifying, and recording data in the coding process; also the actual numerical or other character symbols assigned to raw data
- e an alternative to dummy coding using the values of -1 and 1 to represent two categories of responses
5 Multiple Choice Questions
- error caused by REJECTING the null hypothesis when it is TRUE; has the probability of alpha. Occurs when the researcher concludes that a relationship or difference exits in the population when in reality it does not exist
- a data matrix that displays the frequency of some combination of possible responses to multiple variables; cross tabulation results
- process of assigning a numerical score or other character symbols to previously edited data
- a table showing the different ways respondents answered a question
- statistical analysis involving THREE or more variables or sets of variables
5 True/False Questions
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p-value → process of assigning a numerical score or other character symbols to previously edited data
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marginals → row and column totals in a contingency table, which are shown in its margins
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moderator variable → dividing a data set into tow categories by placing respondents below the median in one category and respondents above the median in another
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index numbers → rules for interpreting, classifying, and recording data in the coding process; also the actual numerical or other character symbols assigned to raw data
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cross-tabulation → the orderly arrangement of data in a table or other summary format showing the number of responses to each response category, tallying
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