Exam 14: Making Use of Associations Tests

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There are five basic types of relationships between two variables: linear,curvilinear,elliptical,monotonic,and nonmonotonic.

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In a ________,the researcher can assign a general direction to the association between the two variables.

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When dealing with Chi-square,it is always necessary for the researcher to state a hypothesis in a formal sense.

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In a linear relationship,knowledge of the amount of one variable will automatically yield knowledge of the amount of the other variable as a consequence of applying the linear or straight-line formula that is known to exist between them.

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There are instances in which a marketing researcher wants to see if there is a relationship between the responses to one question and the responses to another question in the same survey.Identify the four types of possible relationships.Discuss how they are differentiated.

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A cross-tabulation table is sometimes referred to as a(n):

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If you found a significant correlation of .83 between years of education and hours spent attending San Francisco Giants' baseball games,it would mean that:

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During Chi-square analysis,observed frequencies are compared to expected frequencies,which are defined as the theoretical frequencies that are derived from this hypothesis of no association between the two variables.

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Cross-tabulation can only be used for two variables;each variable must have well-defined labels.

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________ are those in which there is a high probability that the two variables will exhibit a dependable relationship,regardless of the type of relationship being analyzed.

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The formal procedure for Chi-square analysis begins when the researcher formulates a statistical null hypothesis that the two variables under investigation are not associated in the population.

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There is an orderly procedure for determining the presence,direction,and strength of a relationship,

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The Chi-square distribution's shape changes depending on:

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When a researcher talks about the amount of change in one variable systematically associated with a change in another variable,he or she is speaking about:

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You might be tempted to believe that more company salespeople cause more company sales or that an increase in the competitor's salesforce in a territory takes away sales.Correlation should:

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Regardless of its absolute value,a correlation that is not statistically significant:

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Correlation coefficients that fall between the absolute values of 1.00 and .81 are generally considered to be:

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With what type of diagram can covariation be examined?

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Association analysis(including the correlation coefficient)explicitly assumes a cause-and-effect relationship,which is a condition of one variable bringing about the other variable.

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If two variables have nominal-scaling assumptions,a researcher would use what type of analysis?

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