This blog site offers a quick overview of statistics issues with illustrations to help the audience understand and appreciate the value, importance, and applications of statistics in everyday life. In today's society, it is common knowledge that in order to understand about something, you must first gather data. The skill of learning from data is known as statistics. It is involved with the gathering of information, its subsequent description, and analysis, which frequently leads to conclusions.
Showing posts with label proportions. Show all posts
Showing posts with label proportions. Show all posts
Friday, July 12, 2019
Friday, July 5, 2019
Numerical Methods of Summarizing Data
Percentages & Proportions
These are the most commonly used numerical measures for summarizing data. The formulas are given below.
Where;
f – the frequency or the number of cases in any category
N- the total number of cases in all categories.
Used to compare categories in terms of relative frequency. The formula is given below;
Where;
- the number of cases in the first category
- the number of cases in the second category
Rates are defined as the number of actual occurrences of some phenomenon divided by the number of possible occurrences per some unit of time. The formula is given below;
Is useful for comparing the actual change between time periods.
– frequency at the old/previous time period
These are the most commonly used numerical measures for summarizing data. The formulas are given below.
Where;
f – the frequency or the number of cases in any category
N- the total number of cases in all categories.
Ratio
Used to compare categories in terms of relative frequency. The formula is given below;
Where;
- the number of cases in the first category
- the number of cases in the second category
Rates
Rates are defined as the number of actual occurrences of some phenomenon divided by the number of possible occurrences per some unit of time. The formula is given below;
Rate of change or percentage change
Is useful for comparing the actual change between time periods.
Where;
– frequency at the new/current time period– frequency at the old/previous time period
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