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The weight of a data point shows how important the data point is compared to the weights of the other data points. It shows the magnitude of (if the weight is greater than 1) of a data point value. The weighted value of a data point means the value of a data point is multiplied by its weight.
When the relative importance of items is considered, an index number becomes a weighted index. This index is calculated after assigning weights to the commodities on the basis of their importance. Weights assigned are then multiplied to their base and current period prices to get weighted prices.
To calculate the value of a simple price-weighted index, find the sum of the share prices of the individual companies, and divide by the number of companies. In some averages, this divisor is adjusted in order to maintain continuity in the event of stock splits or changes to the list of companies included in the index.
In practice, most CPIs are calculated as weighted averages of the percentage price changes for a specified set, or basket, of consumer products, the weights reflecting their relative importance in household consumption in some period. CPIs are widely used to index pensions and social security benefits.
The investor can calculate a weighted average by multiplying the number of shares acquired at each price by that price, adding those values, then dividing the total value by the total number of shares.
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Index numbers are statistical measures that are used in business and economics to quantify changes in various fields and variables over time. Raw data is often hard to compare and understand, but index numbers make it much easier to see how a variable, field, sector, or industry has changed.

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