Exam 12: Analysing Quantitative Data

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What is a 'code' in the context of quantitative data analysis of questionnaires?

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Doris has read a research paper in a refereed journal which states "within this organisation age is strongly correlated with gender (r = 0.7, p <0.01)". She should ________.

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"A travel company decides to halve its advertising spend from ò.5 million to ñ.25 million a year during a recession." What type of data are being described here?

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Dave wants to test whether those who responded to an employee questionnaire are representative of the total population of employees. He has data about occupation for both his respondents and the total population of employees which he can rank in order of seniority. Which statistical test would be most suitable?

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Accepting the null-hypothesis means that there ________.

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Which statistical test should you use to assess the strength of a cause-and-effect relationship between variables or to predict a value?

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Which of these is NOT a possible reason for missing data?

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Which correlation coefficient is most appropriate if you have tied ranks in your data?

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Why is it a good idea to use an existing coding scheme for your data if one is available?

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Descriptive statistics calculate the central tendency and dispersion of a variable.

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Which of the following diagrams is most suitable for showing precise highest and lowest values of continuous data?

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In the equation "y = a + bx", what are "y" and "a"?

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A good way to begin quantitative data analysis is to produce diagrams and tables for individual cases.

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What is a 'codebook'?

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Which of the following is the most important element of quantitative data analysis in a student project?

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The mode, median and mean are all measures of ________.

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What is a 'data matrix'?

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Numerical data for which you cannot state the relative difference between values are called ________ data.

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A multiple bar chart compares highest and lowest values of grouped variables, whereas a percentage component bar chart compares ________.

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Ben wishes to calculate the average gender of employees in his organisation. Which statistic should he use?

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