About Mr. Klein
This is Mr. Klein's first name.
Paul
68-95-99
The group that receives no treatment.
Control group
The 3 things you have to check before calculating an interval
Random, 10% Condition, and Large Counts
The probability of flipping 4 coins and getting heads 4 times.
1/16
The classes that Mr. Klein teaches.
Pre Calculus, AP Stats, Calculus, MV Calculus
The definition of U in probability.
Union (or)
When neither the researchers or the subjects know who gets the treatment or placebo
Double Blind
The general formula for confidence interval
point estimate +/- margin of error
The z* value when you do a 95% confidence interval.
1.96
The branch of the military that he served in.
Navy
The definition of mutually exclusive.
Events A and B have no outcomes in common (cannot happen at the same time)
A sample that is made up of people who are easy to reach.
Convenience Sample
What the 10% condition checks for
Independence
The point estimate used to create the interval (0.088, 0.126).
0.107
The continent that his daughter is currently on.
Antarctica
Equation for residuals
Observed - predicted
When we create a list of every member of the population. From the list, we randomly select the first sample element from the first k subjects on the population list.
Systematic Random Sampling
What Large Counts checks for.
Normality
The t* value for a sample size of n = 85 and 98% intervals (from data table).
2.374
This is what he throws at his wife.
Candy
The 3 different ways to increase power.
Increase sample size, increase alpha level, and increase difference from null
A design that is used when the experiment has only two treatment conditions; and subjects can be grouped into pairs, based on some blocking variable. Then, within each pair, subjects are randomly assigned to different treatments. In some cases you give two treatments to the same experimental unit.
Matched Pairs Design
The 3 different ways you can check for normal/large samples for means.
Poplation is approx. normal, n >= 30, or dot plot shows no skewness/outliers
The interval for a 1-sample t-interval for µ where x̅ = 36, s = 2, n = 25, and CL = 95% (use a calculator)
(35.174, 36.826)