Exam 16: Fundamentals of Data Analysis

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The expected percentages of basketball players in the

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The percentage of people who say that they will buy the product as soon as it is introduced is: 1) less than that of those who will purchase if others seem satisfied; 2) 20 percent; 3) 2/3 of the percentage of people who will check the price before purchasing.

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The table above is an example of a difference between means. B)a frequency distribution. C)a two-way tabulation. D)a cross-tabulation. E)an interval-scaled question.

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The most primitive form of data from data analysis perspective is a) nominal scale b) ordinal scale c) interval scale d) ratio scale

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The difference between means is concerned with the association between two questions, the question defining the group for example, smokers or nonsmokers) and another question fear of fires).

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Ambiguity is the result of an interviewer's failing to understand the question he must ask his respondents.

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If a researcher's objective is to analyze a single question for various subgroups, based on a frequency distribution, the technique is termed cross-tabulation.

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If a research study is well designed, then the researcher is assured of clear judgments and conclusions leading to good decisions, even if the data analysis techniques aren't entirely appropriate.

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Consider the following question: "What are your opinions about the way the President is handling the economic problems facing the nation?" This is an example of a closed-ended question.

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While analyzing his data, Mr.Thorough decided to use a frequency distribution to study the response to each question.Later he became interested in finding out if there were any significant differences between the three subgroups in his study.The appropriate technique at this stage is the difference between means.

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The basic purpose of data analysis is to extract meaning and knowledge from the collected data.

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Product usage is a useful variable when a researcher is seeking to segment the population.

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The table shown above is an example of

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A procedure in which the existing data with a large number of variables are collapsed into fewer variables, is called ________

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When the data is collected on a nominal scale, the researcher can only use the mean and percentages to make meaningful conclusions.

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The coding of closed-ended questions involves judgment decisions.

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When problems are identified during the editing stage, the researcher's only options are to re-contact the respondent or to throw out the entire questionnaire.

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Cross-tabulation is the analysis of association between two variables that are nominally scaled.

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It is generally easier to code open-ended questions as compared with closed-ended questions because the researcher has more options with open-ended questions.

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Omissions refer simply to the errors resulting from the failure of interviewers to ask all questions.

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