Data and Analysis Flashcards
Strengths and weaknesses of quantitative data
- Easy to analyze, allows for statistical manipulation and clear comparisons.
- Not providing in depth data.
Strengths and weaknesses of qualitative data
- Provides a more in depth and rich description, detailed and contextual, access thoughts and feelings.
- Harder to analyze and draw conclusions from
- Subjective.
Strengths and weaknesses for mean
Uses all the data.
Can be skewed by extremes -misleading.
Can give an unrealistic value.
Strengths and weaknesses for median
Quick and easy to calculate.
Not affected by extremes-representative.
Not all the data is used.
Strengths and weaknesses of mode
Quick and easy to calculate.
Shows the most important scores.
Not useful when there are several modal values or when the modal value is slightly more common than others.
Does not use all data.
Strengths and weaknesses for range
Quick and easy.
Ignores the central values-misleading when there are extremes.
Strengths and weaknesses of standard deviation
All scores are used so it’s more accurate.
It’s not quick and easy to calculate.