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Interpolation - Interpolation and Extrapolation, Business Mathematics and Statistics | Business Mathematics and Statistics - B Com PDF Download

Interpolation is a useful mathematical and statistical tool used to estimate values between two points. In this lesson, you will learn about this tool, its formula and how to use it.

 

What Is Interpolation?

Interpolation is the process of finding a value between two points on a line or curve. To help us remember what it means, we should think of the first part of the word, 'inter,' as meaning 'enter,' which reminds us to look 'inside' the data we originally had. This tool, interpolation, is not only useful in statistics, but is also useful in science, business or any time there is a need to predict values that fall within two existing data points.

 

Interpolation Example

Here's an example that will illustrate the concept of interpolation. A gardener planted a tomato plant and she measured and kept track of its growth every other day. This gardener is a curious person, and she would like to estimate how tall her plant was on the fourth day.

Her table of observations looked like this:

Interpolation - Interpolation and Extrapolation, Business Mathematics and Statistics | Business Mathematics and Statistics - B Com

Based on the chart, it's not too difficult to figure out that the plant was probably 6 mm tall on the fourth day. This is because this disciplined tomato plant grew in a linear pattern; there was a linear relationship between the number of days measured and the plant's height growth. Linear pattern means the points created a straight line. We could even estimate by plotting the data on a graph.

Interpolation - Interpolation and Extrapolation, Business Mathematics and Statistics | Business Mathematics and Statistics - B Com

But what if the plant was not growing with a convenient linear pattern? What if its growth looked more like this?

Interpolation - Interpolation and Extrapolation, Business Mathematics and Statistics | Business Mathematics and Statistics - B Com

What would the gardener do in order to make an estimation based on the above curve? Well, that is  where the interpolation formula would come in handy.

 

Interpolation Formula

The interpolation formula looks like this:

Interpolation - Interpolation and Extrapolation, Business Mathematics and Statistics | Business Mathematics and Statistics - B Com

Now, let's explore how to use this formula. The two sets of points between which the estimate can be found are:

Interpolation - Interpolation and Extrapolation, Business Mathematics and Statistics | Business Mathematics and Statistics - B Com

Going back to the tomato plant example, the first set of values for day three are (3,4), the second set of values for day five are (5,8), and the value for x is 4 since we want to find the height, y, on the fourth day. After substituting these values into the formula, calculate the estimated height of the plant on the fourth day.

Interpolation - Interpolation and Extrapolation, Business Mathematics and Statistics | Business Mathematics and Statistics - B Com

Interpolation - Interpolation and Extrapolation, Business Mathematics and Statistics | Business Mathematics and Statistics - B Com

Interpolation - Interpolation and Extrapolation, Business Mathematics and Statistics | Business Mathematics and Statistics - B Com

Based on the calculations, the estimated height of the plant on the fourth day is 6 mm.

The document Interpolation - Interpolation and Extrapolation, Business Mathematics and Statistics | Business Mathematics and Statistics - B Com is a part of the B Com Course Business Mathematics and Statistics.
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FAQs on Interpolation - Interpolation and Extrapolation, Business Mathematics and Statistics - Business Mathematics and Statistics - B Com

1. What is interpolation and extrapolation?
Ans. Interpolation is a method used to estimate values between two known data points. It involves finding an unknown value within a set of known values. Extrapolation, on the other hand, is the process of estimating values beyond the range of known data points. It involves predicting or projecting data points outside the given range based on the existing trend or pattern.
2. How is interpolation useful in business mathematics and statistics?
Ans. Interpolation is highly useful in business mathematics and statistics as it allows businesses to make accurate predictions or estimates based on available data points. It helps in filling gaps between known data points, enabling companies to analyze trends, forecast future values, and make informed decisions. Interpolation is commonly used in sales forecasting, inventory management, financial modeling, and market research.
3. What are the limitations of interpolation and extrapolation?
Ans. Interpolation and extrapolation have certain limitations. One limitation is that they assume the data follows a continuous and smooth trend, which may not always be the case in real-life scenarios. Another limitation is the potential for errors or inaccuracies if the underlying trend or pattern changes abruptly or significantly outside the known data range. It is essential to exercise caution and consider other factors when using interpolation and extrapolation for decision-making.
4. How can interpolation and extrapolation be applied in a business context?
Ans. In a business context, interpolation can be applied to estimate sales figures between known data points, determine the average growth rate over a specific period, or forecast future demand based on historical data. Extrapolation can be used to predict future market trends, project revenue growth, or analyze the impact of potential changes in variables such as pricing, competition, or consumer behavior. These techniques aid in strategic planning, resource allocation, and risk assessment.
5. What are the potential risks of relying solely on interpolation and extrapolation in business decision-making?
Ans. Relying solely on interpolation and extrapolation for business decision-making can be risky. As these methods are based on historical data, they may not account for unforeseen events, market disruptions, or changes in customer preferences. Additionally, extrapolation involves projecting data outside the known range, which increases the uncertainty and potential for errors. It is crucial to consider other factors, conduct thorough analysis, and use interpolation and extrapolation as one of the tools in decision-making rather than the sole basis.
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