Science Quiz / HCHS Statistics 1 (w/TI-84)

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Can you name the terms from statistics?

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QuestionAnswerTI-84 command
The scores on a test are normally distributed set of data has a mean of 55 and st dev of 3. Find the score that would correspond to the 80th percentile.
The following set of data was drawn from a larger population: 3, 15, 18, 27, 16, 14, 12 Find the standard deviation.
The standard deviations of two independent random variables X & Y are 3 and 4 respectively. Find the standard deviation of X + Y.
Student A earned an 86% on a test (mean 80, st dev 6)/student B earned a 94% (mean 92, st dev 1.5)/student C earned a 91% (mean 89, st dev 0.9)/Who had best score relative to mean?
Term given by difference: y observed - y predicted
Direction of skew if mean is less than median
Mathematician credited w/establishing stats as discipline/1st university stats dept at Univ College of London/into eugenics & social darwinism/chi-squared, correlation coefficient
The mean of a normally distributed set of data is 100 with a st dev of 10. Find the percentage of the data above a value of 116.
Direction of skew if mean is greater than median
QuestionAnswerTI-84 command
Measure of central tendency that is the balance point of the density curve
Measure of central tendency that splits the density curve into 2 regions of equal area
Name for most common method used in linear regression
Find the standard deviation of the following set of data: 2, 9, 7, 13, 21, 5
Find the z-score for an observed value of 71.5 if the mean is 70 and the standard deviation is 2.8.
The standard deviations of two independent random variables X & Y are 12 and 5 respectively. Find the standard deviation of X - Y.
Father of Modern Stats/quantitative geneticist who developed ANOVA & namesake F-test/worked on stats to analyze Mendelian genetics & Darwinian theory/worked at Rothamsted Research
The mean of normally distributed set of data is 25 and the st dev is 3.5. Determine the percent of data between 23 & 34.
Inequality that says the percent of data within k standard deviations is greater than or equal to 100 times (1-1/k^2)

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