Download Review Hybrid Statistics Exam 1 – Chapters 1,2 and 9 Identify

Review Hybrid Statistics Exam 1 – Chapters 1,2 and 9
Identify whether the statement describes inferential statistics or descriptive statistics.
Identify the data set's level of measurement.
Construct a Pie Chart: Include label, percentage and degrees for each wedge
Construct a Frequency Distribution: Include the following columns: class limits, class boundaries, frequency, relative
frequency, class midpoints and cumulative frequency of the classes.
Find the mean, median, mode, standard deviation and variance of given data.
Compute the weighted average
Use the Empirical Rule to find the percentage
Use the grouped data formulas to find the indicated mean or standard deviation.
Find the five-number summary.
Compute the Percentile given data.
Order the data set in ascending order
1. Use this equation to find the index of the percentile:
p/100 * (n + 1) where p is the percentile you want so if
the problem asks for P30 then you want the 30th percentile.
2. If the solution is an integer, say 32, then the pth percentile value is the 32nd data point from the sample in
ascending order.
If the solution is not an integer then you find the average value be the two surrounding points. For example, say
the solution is 23.7 for the index of the pth percentile. The value reported is the average of the 23rd and 24th data
point. This can be either the simple average or a weighted average.
Compute the z-score.
Given data, find the correlation coefficient, coefficient of determination and coefficient of variation (C.V) and
interpret each value
Given a sample with r = #, n = #, and α = #, determine the standardized test statistic t necessary to test the claim ρ = 0.
Construct a scatter plot for the given data. Determine whether there is a positive linear correlation, negative linear
correlation, or no linear correlation.
Find the predicted value of the linear regression line when x=#
Find and interpret the explained variation and un-explained variation in the response variable.
Find the standard error of estimate,
Construct a 95% prediction interval for y given the linear regression line equation and x = # and
Find the predicted value of the linear regression line when
Find the equation of the regression line for the given data.
and
= #.