MathChapter 8: Statistics
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Prompt
What is the arithmetic mean?
💡Think total per observation.
Answer
The sum of all values divided by the number of values.
ExampleFor \(3,7,8\), the mean is \(18/3=6\).
Prompt
How do you recover a data total from its mean?
💡Reverse the division in the mean formula.
Answer
Multiply the mean by the number of observations: \(\sum x_i=n\bar{x}\).
ExampleA mean of \(12\) for \(7\) values gives total \(84\).
Prompt
What must you do before finding a median?
💡Median is based on position.
Answer
Order the data values from least to greatest.
ExampleOrder \(9,2,6\) as \(2,6,9\).
Prompt
How is the median found when the count is odd?
💡Use position \((n+1)/2\).
Answer
Select the single middle value in the ordered list.
ExampleFor \(n=7\), use the fourth value.
Prompt
How is the median found when the count is even?
💡Use positions \(n/2\) and \(n/2+1\).
Answer
Average the two middle values in the ordered list.
ExampleThe middle values \(8\) and \(12\) give median \(10\).
Prompt
What is the mode?
💡Mode measures repetition, not size.
Answer
The value or values with the greatest frequency.
ExampleIn \(2,2,5,9\), the mode is \(2\).
Prompt
Can a data set have more than one mode?
💡Compare all frequencies.
Answer
Yes. Every value tied for greatest frequency is a mode.
ExampleIn \(1,1,4,4,7\), both \(1\) and \(4\) are modes.
Prompt
When does a data set have no mode?
💡Distinct values have equal frequency \(1\).
Answer
When no value occurs more often than another.
ExampleThe set \(3,6,9\) has no mode.
Prompt
What is the range?
💡Use only the endpoints.
Answer
Maximum minus minimum.
ExampleFor \(5,8,17\), range \(=17-5=12\).
Prompt
How do you find a missing value when the mean is known?
💡Required total is \(n\bar{x}\).
Answer
Compute the required total, then subtract the sum of the known values.
ExampleFour values with mean \(10\) total \(40\).
Prompt
What is the frequency-table mean formula?
💡Weight each value by its frequency.
Answer
\(\bar{x}=\dfrac{\sum xf}{\sum f}\).
ExampleValue \(5\) with frequency \(3\) contributes \(15\).
Prompt
How are two group means combined?
💡Weight means by group size.
Answer
Convert each mean to a total, add totals, and divide by the combined count.
ExampleUse \((n_1m_1+n_2m_2)/(n_1+n_2)\).
Prompt
Why can averaging two group means be wrong?
💡Equal weighting is justified only for equal group sizes.
Answer
The groups may have different numbers of observations.
ExampleMeans \(70\) and \(80\) do not force combined mean \(75\).
Prompt
What happens to the mean when \(k\) is added to every value?
💡The whole distribution shifts.
Answer
The mean increases by \(k\).
ExampleAdding \(4\) changes mean \(9\) to \(13\).
Prompt
What happens to the range when \(k\) is added to every value?
💡Both endpoints shift equally.
Answer
The range is unchanged.
Example\((b+k)-(a+k)=b-a\).
Prompt
What happens when every value is multiplied by positive \(k\)?
💡A positive scale factor preserves order.
Answer
The mean, median, mode values, and range are multiplied by \(k\).
ExampleDoubling the data doubles these measures.
Prompt
Which measure of center is generally more resistant to an extreme outlier?
💡It depends on position more than magnitude.
Answer
The median.
ExampleOne huge maximum can pull the mean upward while the middle position barely changes.
Prompt
Which summary is directly determined by only the minimum and maximum?
💡Ignore interior values for this measure.
Answer
The range.
ExampleChanging an interior value may leave the range unchanged.
Prompt
How do you update a mean after adding a value \(x\)?
💡Update total and count.
Answer
Use \((n\bar{x}+x)/(n+1)\).
ExampleFive values with mean \(8\), plus \(14\), give \(54/6=9\).
Prompt
What is a reliable SAT check for an ordinary mean?
💡A weighted balance cannot fall outside all data values.
Answer
The mean should lie between the minimum and maximum.
ExampleA claimed mean of \(20\) for values from \(4\) to \(12\) is impossible.
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