Lesson 28 — Activity 3:

Statistics in Everyday Life



Getting Ready


Just as statistics are used in sports, they are also used in everyday life. When you watch a weather forecast and they talk about a certain percent chance of a weather condition occurring, they are using statistics.


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When you hear about the probability that someone will win an election, you are being given statistics. When you hear the results of a survey, you are hearing statistics. Statistics are a part of everyday life, and it would be difficult to go about our daily business without them!

People can also use statistics to predict such things as how many people will attend an event or how much of a product to bring into a store based on how that product has sold in the past.

For example, if you were in charge of ordering milk for a grocery store and knew that on a long weekend you sold twice the amount of milk as you did on a regular weekend, you would order twice the amount of milk.


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Another use for probability is the lottery. If you know the number of tickets sold, you can calculate your chance of actually winning the main prize.


Let's say that 400,000 tickets were purchased for a draw and you had purchased one ticket. Your chances of winning are:

Your odds of winning the lottery are not very good, and that is only on 400,000 tickets being sold! Can you imagine how poor they are if over one million tickets were sold? However, probability is an exciting concept and people love to play games based on their chances, or their probability, of winning points or even money.


  Self-check!

Try this!



Complete this Self Check on statistics in everyday life.
Activity Instructions:
For each of the following questions, determine the probability that these everyday events will happen.
Remember to show all you work on a seperate piece of paper.

You raise cattle on your farm.
In the year 2000, you had 102 calves, in 2001, 98 calves, in 2002, 89 calves, in 2003, 94 calves, and in 2004 you had 112 calves.
How many calves can you expect in 2005?


102+98+89+94+112= 495, 495/5 = 99 calves should be born in


The company that you work for has paid a bonus to employees 23 of the last 24 months.
What is the probability that you will get a bonus this month?


P(bonus) = 23/24 = 0.96 = 96% chance of a bonus this month.


The forecaster announces a 60% chance of snow over night.
What are the chances that it will not snow?


P(not snowing) = 1 - 0.6 = 0.4 = 40%


Two of the last 25 times you have driven to the lake for the weekend, you have had a flat tire. What is the probability of having a flat tire on your next trip to the lake?


P(flat) = 2/25 = 0.08 = 8%


Stocking shelves is hard work.
Over the last 8 hours, you have put the following number of boxes on the shelves:
12,16,12,19,8,16,11,16
What is the mode of the number of boxes you have put on the shelf?


8,11,12,12,16,16,16,19 The mode is 16.


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