2019-01-21T10:52:11+00:00 Assignments

# Topic: MHS506 BIOSTATISTICS CASE 1

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# Topic: MHS506 BIOSTATISTICS CASE 1

### Content:

HS506 Biostatistics Case 1 Name Course Institution Qualitative vs. Quantitative data Discretization transforms data that can either be qualitative and capable of being categorized or quantitative data that is ranked in order. Qualitative data focuses on descriptions compared to quantitative data that deals with numbers (Tappen, 2011). As such, qualitative data is merely observable but not measurable unlike quantitative data that can be measured. The qualities that represent qualitative data are subjective since they cannot be measured, but quantitative qualities are objective. Consequently, qualitative data measures are mainly represented by categorical variables while quantitative data values are numeric variables based on what can be quantified (Tappen, 2011). The differences between the two means that qualitative research relies on the data to determine whether there are underlying trends, while quantitative research is necessary in generating useable statistics that are quantified to identify facts and patterns. The quantitative and qualitative data can be combined with the mixed research methods to optimize the research. Examples of qualitative data and quantitative data Since qualitative data are categorical it is non numerical, but the data variables can be coded. One of the qualitative data is gender as this represents a person`s characteristic as either a male or female. When using numbers to represent gender with 1 for male and 2 for female, but they do...

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