States Test 1

7 September 2022
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19 test answers

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question
Find the median:
Find the median(even) :
Find the median: Find the median(even) :
answer
-The Number that is in the middle. -If there is an even number add the two middle # then divide by two
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Sample variance
Sample variance
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Xi= The sample variance is found by squaring the sample standard deviation.
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Find the mode:
Find the mode:
answer
-The middle
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m(mew)
m(mew)
answer
The population arithmetic mean), is computed using all the individuals in a population. The population mean is a parameter.
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x?
answer
The sample arithmetic mean, x (pronounced "x-bar"), is computed using sample data. The sample mean is a statistic.
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Frequency distribution
Frequency distribution
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1st-Add the first two numbers and divide by 2 2nd- Input into calculator to find the separate by two list 3rd-Make sure to enter L1,L2 to find the information
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Standard deviation for sample
Standard deviation for sample
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-s orsx
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Standard deviation( to look for on calculator)
Standard deviation( to look for on calculator)
answer
-
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Histogram skewed right
pg-132
Histogram skewed right pg-132
answer
-Mean>Median -Mean is larger than median
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Histogram skewed left
Histogram skewed left
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-Mean
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Histogram symmetric
Histogram symmetric
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-Mean=Median -Empirical rule -Equal
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Histogram depicts data witha higher standard deviation?Why?
Histogram depicts data witha higher standard deviation?Why?
answer
Histogram B depicts the higher standard deviation,because the distribution has more dispersion.
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Mean
Mean
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-The Average
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Mode
Mode
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-The most
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Standard deviation
Standard deviation
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-Why do we square before summing them? Squaring makes each term positive, so that the mean does not cancel values -What would happend if we didnt?
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Chebychev's Theorem
Chebychev's Theorem
answer
1st- Find the percentage using the formula 2nd-Use the formula ? ± k?
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Empirical rule how to:
Empirical rule how to:
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1st-Make sure it is bell shaped 2nd- Figure out which percentage=? 3nd- ? ± ?? (Mean±?(standard deviation)
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Empirical Rule match : Standard deviation 1- Standard deviation 2- Standard deviation 3-
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Standard deviation 1-68-Split on both sides Standard deviation 2-95-Split on both sides Standard deviation 3-99.7-Split on both sides (Mean±#(standard deviation)
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What do we mean when we say tha the median is more resistant to extreme values than the mean.Give an example of this.
answer
Very large or small data do not affect its value substantially. Page-132