Part One: some review questions. if you have any issues with this, please come see me, or ask for more problems in the same vein.
Know the Symbols/Terms for....
both types of standard deviation
null hypothesis
standard error
margin of error (MOE)
xbar +/- MOE. This represents ....
significance level
degrees of freedom
line of best fit
z.test
t.test
chi-squared test
things we can call a graph or histogram (e.g. skewed to the right)
measures of central tendency
68-95-99.7 rule
correlation coefficient
Questions: These should be done by hand/with your calc. Do not use r
1. Some numbers: 2,3,4,3,4,5,4,5,6,5,6,7,6,4,5,6,7,5,12,8
Give the five number summary of this data
Are there any possible outliers?
Create a boxplot
Create a histogram using appropriate breaks
2. Length of leaves of tree A (in cm): 12 13 12 21 18 12 14 15 18 21 23 31 20 22 25 17 16
Length of leaves of tree B (in cm): 20 21 24 24 23 26 28 31 32 34 31 21 30 19 19
Create a back to back stemplot for this data
3. table
fill out the marginal tables on this table
Which sex was scared easier when we compare percentages
What was the overall percentage of scaredness?
Find the expected value of male scared in the table
what percentage of the not scared were female?
4. review your data sets and look at null and alternate hypothesis. be able to read r output for the 95 % confidence interval as well as all other necessary information
5. Can you plug information in to the confidence interval formula or the z.score formula and solve accordingly?
6. Skew data is best represented by which measure of central tendency?
7. Make sure you completely understand one tailed, two tailed testing, and can read the r-code that comes out for this.