Term
Large mean difference, large SEM, you get a ____ t statistic. 

Definition
small While a large mean difference does exist, we are relatively unsure about what the true population mean is, so we can’t be too sure if it is different from a value 


Term
Small mean difference, small SEM, you get a ____ t statistic. 

Definition
Large tstatistic The means are not very different, and we aren’t very sure about what the true value of the population mean is, so we can’t be very certain about whether the mean is equal to or different from a value 


Term

Definition
probability of obtaining our test statistic (t hat) given that (vertical bar) the null hypothesis (Ho) is true. or probability of getting a test statistic as extreme or more extreme than what we had. 


Term

Definition
distribution we'd use if null hypothesis is true, always centered on zero 


Term
Does the test statistic fall within the central 95/99/90% of the distribution? If yes, If no, 

Definition
if yes, they are the same if no, they are different 


Term
Large mean difference, small SEM, you get a ____ test statistic 

Definition


Term
Small mean difference, large SEM, you get a _____ test statistic. 

Definition


Term
T distribution is always centered on ___, because: 

Definition
0, because if the Null Hypothesis is true, the mean would be 0. 


Term

Definition
Ho: u= theorized value Ha: u not = theorized value 


Term

Definition
true state of affairs is the Ho is true, we find a difference ex: person is innocent and we find them guilty 


Term
alpha is our accepted type __ error rate 

Definition


Term
If (u) is not equal to our Ho, the t statistic is >/The error of 0.05 is distributed how? 

Definition
the t statistic is either much larger or much lower than the mean the 0.05 is split on both tails, with 0.025 on each side 


Term
If u>x and Ha is accepted, the test statistic is >/ 

Definition
test statistic is > the mean. 0.05 is all on the top tail. 


Term
tails: critical/noncritical regions central: critical/noncritical regions 

Definition
tails: critical central: noncritical 


Term
If the calculated t statistic is less than or equal to 2.06, OR greater than or equal to 2.06, it falls in the ____ and we will reject the null hypothesis 

Definition


Term
If the calculated t statistic is greater than 2.06 AND less than 2.06, it falls in the ____ and we will fail to reject the null hypothesis 

Definition


Term
Two reasons for a two mean comparison: 

Definition
test for equality test for magnitude of difference 


Term
how do you differentiate sample means from two populations? 

Definition


Term
if the test statistic falls in the outer tails, we say it is part/not part of the distribution 

Definition


Term
In a two mean scenario, if the t hat comes out positive, it means pop1 or pop2 is larger? 

Definition
pop1 because part of the equation is xbar1xbar2 


Term
What is the point of an ANOVA? 

Definition
to see whether or not at least one sample population mean is different 


Term
What is the simplest form of ANOVA? What is the difference between this and more complex form? 

Definition
One way ANOVA Used to test 3+ treatments This has only 1 variation source (factor) 


Term

Definition
mean of all the means of the treatments 


Term
what is the treatment effect? 

Definition
difference between that treatment mean and the grand mean 


Term
what is the residual error? 

Definition
difference between the individual measurement and the mean of the sample population 


Term
Draw a diagram of treatments A,B,and C with a grand mean of 5, and the null hypothesis is true 

Definition
I would probably draw A B C on the x axis and numbers on the Y. I'd make a dotted line at 5 all the way across to show the grand mean. Then I'd have all three treatment means on the dotted line. 


Term
Draw a diagram of treatments A,B,and C with a grand mean of 5. The treatment means are all different but the within variation is small. Would we most likely reject or fail to reject the null? 

Definition
I'd have the points on both sides of the grand mean with small error bars. We'd most likely reject the null. 


Term
Draw a diagram of treatments A,B,and C with a grand mean of 5. The treatment means are all different but the within variation is large. Would we most likely reject or fail to reject the null? 

Definition
Id have the means on both sides of the grand mean, with large error bars. We'd most likely fail to reject the null because the variation overlaps so much that they wouldn't truly differ. 


Term
Not sure if we have to know this buuuuttt..... When inferences only apply to the treatments you studied in your 1 way model it is called _____ 

Definition
A fixedeffects model or model 1 

