All other things being equal, what does increasing the count do to the s.e (stan

Question

All other things being equal, what does increasing the count do to the s.e (standard error) of a single group sample? Remember that s.e= S/SQRT(n).

2. What is the general formula for a regression with two independent variables (x1 and x2) and one dependent variable (y)?

3. t = the difference of the means divided by the standard error in various scenarios—1 variable, 2 variables, ANOVA, etc. True or false?

4. What is the excel formula to find t critical?

5. How is the variance related to the standard deviation?

6. A regression looks at how dependent variable is affected by one or more independent variables? True or False?

7. How are one-group and two-group t-tests like ANOVA?

8. How do the types of sets analyzed by using regression differ from those analyzed by using ANOVA?

Explanation / Answer

1) Increasing count decrease the standard error

2) Genereal formual Y= b0+b1 *X

3) False as it is in 2 means only not in ANOVA

4) =tinv(0.05,degree of freeodm)

5) Variance=standard deviation2

6) True

7) As F-statitsic rreduces to t when numerator degree of freedom =1, In fact F=t2

8) Regression predict relation ship while ANOVA tells differences

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