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MPH6107 - Foundation Biostatistics (4.00 Credits)

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A questionnaire records exclusive breastfeeding as Yes/No. During data entry, the researcher codes Yes = 1 and No = 2. In a separate variable, sex is coded Female = 1 and Male = 2. Which statement is most important when reviewing the dataset?

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After data cleaning, a researcher changes 18 values because they were clearly entered incorrectly. Which documentation practice is most appropriate?

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A researcher enters the following ages into Excel: 23, 31, 29, 27, 31, 999, 35, 28. The codebook states that 999 represents “missing.” Which approach is most appropriate before calculating the mean age?

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A researcher creates a variable called “exclusive_breastfeeding” from two questionnaire items: breastfeeding status at 6 months and introduction of water before 6 months. What is essential before using the derived variable in analysis?

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A researcher has completed data entry for a survey of 200 mothers. Before generating frequency distributions for age, education, and exclusive breastfeeding, she discovers several missing codes, inconsistent entries, and values outside the predefined ranges. What should she do before producing the frequency distributions?

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A researcher discovers that 15 participants have entered “Yes,” “YES,” and “yes” in a text field for the same response category. What is the main data-management problem?

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A study questionnaire asks age in completed years, but the data entry operator records one participant as 27.5 years. What is the most appropriate data-processing response?

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During data cleaning, a researcher discovers that a participant has “No” for exclusive breastfeeding but reports that the infant was exclusively breastfed for 6 months in another question. What should the researcher do first?

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A study measures monthly household expenditure among 180 households. The distribution is strongly right-skewed because a small number of households report very high expenditure. Which summary would provide the most appropriate description of the typical expenditure?

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Which check would best identify an impossible value in a dataset containing infant age in months?

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