Wednesday, August 24, 2011
NOTE
Tuesday, August 16, 2011
NOTE
PROBABILITY FOR STATISTICS GCE O LEVELS/IGCSE
- The experiment can be repeated any number of times.
- The experiment always has two or more possible outcomes.
- The out comes of each repetition is unpredictable.
Monday, July 18, 2011
TIME SERIES SCATTER DIAGRAM (SEMI AVERAGE) FOR STATISTICS GCE O LEVELS/IGCSE
INTRODUCTION
A time series consists of numerical data collected. observed or recorded at more or less regular intervals of time each hour, day, month, quarter or year. Examples of time series are the hourly temperature recorded, annual rain fall, etc.
SCATTER DIAGRAM
Scatter diagram is a graphic picture of the sample data. In scatter diagram different points are plotted. Due to fluctuations which includes seasonal, cyclical etc line is not drawn straight so we have to draw line of best fit.
TREND
A trend is a long term movement that persist for many years and indicates the general directions of the change of observed values.
GRAPH (LONG TERM CHANGE)
SEASONAL VARIATIONS
Variation which is caused by the change in seasons. Prices of different goods and services changes with the change in season. The main cause for seasonal variation are weather conditions, festival and customs.For example sale of ice cream are high in
the summer season, sale of sweaters are high in the winter season and low in the summer season. This represents seasonal fluctuation.
CYCLICAL VARIATIONS
These fluctuations occur around a long-term growth trend.There are two periods in the business cycle one is boom when economic activities and growth is high with increase demand for goods and services. This increases sales and business activity. Other period is recession when economic activity is down, prices decreases due to decrease demand for goods and services unemployment increases and economic activity slows down.
This shows economic cycle you can see fluctuation in the 2 periods.
ANALYZING THE TREND
Two Methods are used
- Semi averages method
- Moving averages method
THE METHOD OF SEMI AVERAGES
Divide the values in the series in the two equal parts. Find the averages of the values in each pa
rt and plot the average values against the midpoint of two parts. Then draw the straight line.
This straight line can be described by the mathematical equation
y=mx+c
m=gradient (RATE)
c=y intercept
x and y=constant
EXAMPLE
Year | Profit | Total | Averages |
2005 | 10 | | |
2006 | 50 | 210 | 70 |
2007 | 150 | | |
2008 | 80 | | |
2009 | 120 | 300 | 100 |
2010 | 100 | | |
GRAPH
Finally we will draw the graph. First we will plot all the points given in the question, in this question year and profits were given so plot out the points you can see in blue and then join together. Next we will plot the two points (averages) we have calculated and join it together with a straight line (Not drawn in the below diagram). In this diagram it is represented by pink.
Ex: Now join these two pink points together making a straight line
Friday, July 15, 2011
INDEX NUMBERS FOR STATISTICS GCE O LEVELS/IGCSE
INTRODUCTION
Index number is a statistical measure of average change in a variable or a group of variables with respect to time or space. The variable may be the cost of commodity or goods. 2 years are compared to see the changes in price. Index number generally computed on annual basis.
Definition:
Index number is a statistical measure that is used to show changes in price, quantify or value of an item or group of related items with respect to time, place or other characteristics.
In order to calculate an index number, a base period needs to be identified. Values in the current period are than compared to the base period.
The index numbers for the base period is 100. The index number for the current period is
then compared to 100.
SIMPLE PRICE INDEX
Index number is called a simple index when it is computed for a single variable. Index number on index number of gold prices, etc
Simple Price Index= P1/P2 x 100
P1=price of item in a given year
P2=price of item in a base year
PRICE RELATIVE
The base year is the particular year with which the prices in other years of that commodity can be compared with. A relative price is the price of a commodity such as a good or service in terms of another; i.e., the ratio of two prices. A relative price may be expressed in terms of a ratio between any two prices or the ratio between the price of one particular good and a weighted average of all other goods available in the market. Source= http://en.wikipedia.org/wiki/Relative_price
It is useful when finding index for group of item. It is one that indicates the percentage changes in the aggregate price of a number of Commodities, at different periods.
Simple aggregate index = ∑p₁/∑p₀ x 100
∑p₁=Total of prices of all commodities in given year
∑p₀ = Total of prices of all commodities in base year
Example
Cost of foods are shown below
| vegetable | Rice | Milk | Total |
2010 | $50 | $20 | $10 | $80 |
2011 | $55 | $25 | $8 | $88 |
Using 2010 as a base year, find the simple aggregate index for the total cost for 2011.
Simple aggregate index =∑p₁/∑p₀ x 100
Simple aggregate index =88/80 x 100
Simple aggregate index =110
This shows that price has rise by 10 percent in the 2011 compared to 2010.
WEIGHTED AGGREGATED PRICE INDEX
An index is called a weighted aggregative index when it is constructed for an aggregate of items (prices) that have been weighted in some way so as to reflect their importance.
Weighted aggregate index number = ∑IW/∑W
∑IW= Price of item in given year.
∑W= Price of item in base year.
W= Weights
I=Price Relative
How to calculate Weights
By taking ratios of the
1. Expenditure on different items.
2. Quantities used of different items
Example
| 2010 | 2011 | Weights for 2010 | Price relative(I) | IW |
X | 20 | 35 | 8 | 35/20 x 100=175 | 1400 |
Y | 30 | 40 | 4 | 40/30 x 100=133.33 | 533.32 |
Z | 60 | 64 | 3 | 64/60 x 100=106.67 | 320.01 |
A | 90 | 94 | 6 | 94/90 x 100=104.44 | 626.64 |
B | 20 | 40 | 10 | 40/20 x 100=200 | 2000 |
TOTAL | | | 31 | | 4879.97 |
Weighted aggregate index number = ∑IW/∑W
Weighted aggregate index number =4879.97/31
Weighted aggregate index number =157.42
USES OF INDEX NUMBER
- The price index numbers are used to measure changes in a particular group of prices and help us in comparing the movement in prices of one commodity with other.
- A common use of index number is to deflect a future value so that it can be compared with the base period.
- They are also used to forecast business condition of a country.
- It is a statistical device used by the government to revise wages, salaries, pensions, social welfare schemes and design future planning.
Tuesday, July 12, 2011
RATES ( DEATH RATE) FOR STATISTICS GCE O LEVELS/IGCSE
RATIO
A ratio expresses the relation of a given kind of event to the occurrence of other events
Ratio= x/y or x:y
The important types of ratios are the death ratios, birth ratios, etc.
RATE
In mathematics, a rate is a ratio between two measurements, often with different. Source Wikipedia (Rate).
MORE ON RATES VISIT http://en.wikipedia.org/wiki/Rate_(mathematics)
CRUDE DEATH RATE
The crude death rate defined as a ratio of total deaths of some specific year to the total population in the same year, multiplied by 1000. It computed as follows;
CRUDE DEATH RATE= Deaths/Population x1000
AGE SPECIFIC DEATH RATE
When death rate is computed for some specific class or specific age group of a population, it is called age specific death rate. The kind of specificity must be stated.
STANDARD POPULATION
The standard population is that population which is selected to be the basis of comparison.
STANDARDIZED DEATH RATE
The crude death rates of two localities cannot be compared because death rates differ with a age, sex, climate, occupation, etc. To eliminate such effects, we compute what are standardized death rates.
SDR = Expected deaths in standard population/Total standard population x 1000