How to Understand and Use Basic Statistics
Just a few of the many quotes about the use, misuse and fallibility of statistics. To know how to use statistics gives you the ability to separate the wheat from the chaff.
Part 1 of 3: Why You Need to Know.
Statistics are used every day. Have you voted for a
politician because he claimed his economic policies would lower the
unemployment rate and increase the GDP? Have you chosen a surgery that
your doctor said would extend your life expectancy by 10 years if
successful, but had a 5% risk of serious side effects? Have you chosen
to lower your insurance premiums by $30 per month by increasing the
deductible from $500 to $1000? These are some of many everyday
situations where a good understanding of statistics can serve as a guide
to making better decisions.
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1Work on gaining a knowledge of statistics.
- Average - the usual, or what might be considered ordinary - The 'average' family has 2 children (made up statistic).
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2Learn the terms most often used in statistical analysis.
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3Start applying them to every day life.
- Newspapers
- Media
- News
- Politics
- Sports
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4Learn about statistics in order to understand what others may be telling you and to facilitate your understanding and ability to know what questions to ask.
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5Learn the best way to represent your statistics, if needed. Part 2 of 3: The Use of Statistics
Room Full of Kids
Providing a given set of variables, this article will explain the process.
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1Find some software that will help you manipulate a given set of values.
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2Insert the values that are displayed in the image. How that is done will depend on your software. Chances are, it will have a grid like appearance.
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3Query the program. Basically, you are asking the program to come up with (in this instance), the mean (5.5), the mode (6), and the median (6).
- Note that the software doesn't have to lay the information out in a straight line to come up with the answer.
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4Understand what it indicates. These numbers indicate that if this was a room full of children (24 of them), that the average age (the mean) is 5.5 years old. The mode of six would indicate that there are more six year old children than any other age in the room. The median is indicated by taking the set of (1,1,1,2,3,4,4,5,5,5,6,6,6,6,6,7,7,7,7,8,8,8,9,9) and counting 12 in from each side. In this instance, it puts you straight in the middle of the sixes and therefore the median is six. You would add the numbers (in this case 6+6), then divide by two, which of course, would be 6.
Seasonal Sports Statistics
Sports statistics and the understanding and
manipulation thereof, can make or break a person's wallet. Thousands of
dollars can be lost on the basis of a point spread. Statistics is the
bread and butter of the sports world.
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1Decide what you are going to use the statistics for. You can use stats to tell about percentage of games won, percentage of games won versus another team, etc.
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2Go to your newspaper for the information or your team's web page or sports web page.
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3Calculate the win percentage. Divide the number of wins by the total number of games.
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4Calculate the loss percentage. Divide the number of losses by the total number of games.
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5Example:
- Minnesota Vikings have a current tally of 1 win and 3 losses out of 4 games.
- Divide one by four to get a win percentage of 25%.
- Divide three by four to get a loss percentage of 75%.
- Washington Redskins with 3 wins and 2 losses. This would, seemingly,
be comparing apples and oranges, because of the different number of
games played.
- Divide three by five for a win percentage of 60%.
- Divide two by five for a loss percentage of 40%.
- With this information, you can tell that the Redskins are easily outplaying the Vikings at this juncture.
- Minnesota Vikings have a current tally of 1 win and 3 losses out of 4 games.
Living Statistics
Living statistics would accomplish stats like Cost of Living, Employment Rate, Crime Rate among many other things.
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1Pick a site with statistical information about various cities.
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2Determine the median income of your county.
- In the 2000 census, Thurston County, Washington had a median income of $46,975, compared to a national median income of $41,994. By dividing 46,975 by 41,994, you can figure out that Thurston County's median income is 11% higher than the national median income.
- Also in the 2000 census, McDowell County, West Virginia's median income was $16,931 and the national median income was $41,994. Divide 16,931 by 41,994 to see that McDowell County is 40% below the national median.
Crime Statistics
Statistics are used in regards to crime rates, increases and decreases of recidivism, and many other ways.
Political Statistics
As in sports, the ability to use statistical analysis
in a positive fashion and use them to get your message across are
career makers and career enders. A good political statistician can, for
all intents and purposes, 'write his own ticket'.
Part 3 of 3: Definitions
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Mode - the most frequent occurrence of a variable in a set or sampling of variables.
- The mode of the sample [1, 3, 6, 6, 6, 6, 7, 7, 12, 12, 17] is 6.
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Median- Relates to, or constitutes the middle value of a distribution.
- Find the Median of: 9, 3, 44, 17, 15 (Odd amount of numbers)
- Line up your numbers: 3, 9, 15, 17, 44 (smallest to largest)
- The Median is: 15 (The number in the middle)
- Find the Median of: 8, 3, 44, 17, 12, 6 (Even amount of numbers)
- Line up your numbers: 3, 6, 8, 12, 17, 44
- Add the 2 middles numbers and divide by 2: 8+12 = 20 ÷ 2 = 10
- The Median is 10.
- Find the Median of: 9, 3, 44, 17, 15 (Odd amount of numbers)
- Standard Deviation- A measure of the spread of the values in a given set. The higher the standard deviation, the less numbers in the set tend to cluster near the mean.
- Distribution - Statistical data arranged to show the frequency with which the possible values of a variable occur.
- Bell-shaped curve- The curve representing a continuous frequency distribution with a shape having the overall curvature of the vertical cross section of a bell; usually applied to the normal distribution.
- Probability - The measure of how likely something is going to occur (e.g. the chances of the coin landing on heads is 1/2, the chances of a dice rolling in a certain number is 1/6).
- Outliers - are the numbers that can feasibly throw off the statistics because they are 'one offs'. By that, they are atypical of the rest of the data.
Warnings
- Statistics are only as good or as bad as the person wielding them. Take every use of statistics with a grain of salt and use your knowledge of statistics to come to a decision of your own.
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