Parameter and Statistic Measurements
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1.What is a parameter?
What is a statistic?
What are statistics used for?
2. Give an example of each of these levels of measurement: Nominal, Ordinal, Ratio
3. What, in your opinion, is the most important step in a research design? Explain why and give at least two reasons. (Should be able to do this in about 50 words or so. Don't go overboard!)
4. If we have a normal distribution that has a mean of 200 and a standard deviation of 15, find the proportion of the curve that:
Falls between 170 and 230
Falls above 245
5.
For a normal curve with a mean of 100 and standard deviation of 8, find the two points that are equidistant from the mean, X1 to the left and X2 to the right, that include 95% of the population.
6.
IQ's have a mean of 100 and a standard deviation of 15. Find the IQ score that defines the top 2.5% of all IQ scores.
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Solution Summary
The parameter and statistic measurements for a normal distribution is analyzed. The proportion of a curve is discovered.
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1.What is a parameter?
A parameter is a quantity that defines certain characteristics of system or functions.
What is a statistic?
A statistic (singular) is the result of applying a function (statistical algorithm) to a set of data.
What are statistics used for?
To calculate
1 Sample mean and sample median
2. Sample variance and sample standard deviation
3. Sample quantities besides the median e.g. quartiles and percentiles
4. t statistics, chi-square statistics, f statistics
5. Order statistics, including sample maximum and minimum
6. Sample moments and function therefore, ...
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