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Side A  Side B  
1 
Homoscedastic

Two sets of data have the same variance


2 
Heteroscedastic

Two sets of data have different varieances


3 
Ftest tests for...

Equality of variance


4 
Hypothesis of F test

H0= sigma^2sub1 = sigma^2sub2HA=sigma^2sub1 not equal to sigma^2sub2


5 
Can F stat be skewed?

Yes, unlike normal and t distributions


6 
Population of larger sample variance is #1

Because all numbers in the table are greater than one, they assume we know not to put smaller...


7 
If F is in the white area, between two tails of F distribution... and smaller than the critical...

We fail to reject null hypothesis. Rejection zone is in the tail. This means variances...


8 
Non parametric tests

Less strict in their requirements (don't need a normal distribution)


9 
Why would we ever use parametric tests then?

Parametric tests have greater power relative to samaple size (ability to reject H0 when HA...


10 
Advantages of Non parametric tests

Can be used in skewed, bimodal, nomial and ordinal populations, and smaller sample sizes. Easier...


11 
Sign test for the median

In a non normal population, the median is a robust measure of centrality, mean is not. You...


12 
n(with stem down) is "eta" or population median. n0 is hypothesized median.

If eta0 is the true median, then half of the population values re larger than eta0


13 
B

# of observations with values greater than median. pi=.5 (pi is number of "successes).


14 
In table A1, for sign of the meidan test, always use pi=.5

OK


15 
MannWhitney Test

Tests hypothesis that two populations have the same median. Requires ordinal data, test...


16 
Steps of mann whitney

Pool the sample data for populations x and y and rank them, 1 is the lowest.Convert sample...


17 
If there is a tie in ranks for mann whitney

Assign both observations the average of the ranks. So if there are two tied for 15, give...


18 
Two Sample Number of Runs Test

Tests asks if distributions of 2 populations are the same or different. Sample statistic...


19 
Procedure of Two sample number of runs test

Combine the 2 samples and rank them. a run is a continuous string of ranks from the same...


20 
Convert normally distributed R to a z score

We reject the null only when R is smaller than musubr


21 
Goodness of Fit test

Tests whether a random variable follows specific probability distribution. Checking...


22 
ChiSquare Test

Compare observed frequencies for each category to frequencies expected under hypothesized distribution


23 
Hypothesis

f(Y) is the theoretical probability distributionf(A) is the random variable's distributionH0:...


24 
KolmogorovSmirnov Test

Compares sample distribution to theoretical distribution like chi squared test, but this one,...


25 
Kolomogorov Smirnov Test

H0: The sample is from the population F(x)HA: THe sample is not from the population...


26 
Which table for Kolomogorov Smirnov?

Table A9


27 
Contingency Tables Hypothesis

The variables are statistically independentTHe variables are statistically dependent


28 
Steps

Sum rows and columns, compare observed frequencies to frequencies that would be expected if...


29 
Expected frequency Eij for each cell

Eij= (RiCi)/n. Use table A8


30 
Goal of Regression analysis and defining X and Y

Examine influence of X on Y


31 
to fit the regression line

We find the sum of the squared errors


32 
Three ways to evaluate the goodness of fit on the line

1. Pearsons productmoment correlation coefficient, r2. Coefficient of determination, r^23....


33 
Standard error of the estimate

Measures accuracy associated with predicting Y. Also called the RMSE. and it is...


34 
Residual

Difference between actual and predictided value of Y. esubi = Ysubi  Yhatsubi. From...

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