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MGSC 291 exam 2 With Questions And 100% ALL SURE ANSWERS
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MGSC 291 exam 2 With Questions And 100% ALL SURE ANSWERS
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MGSC 291 exam 2 With Questions And 100% ALL SURE ANSWERS
Practice questions for this set
, Terms in this set (56)
what do we decide if the p val is lower than the we reject the null hypothesis
significance level?
what if the p val is greater than the significance we do not have sufficient evidence to reject the null hypothesis
level?
what is the null hypothesis? what we beleive to be true or what was beleived to be common knowledge
what is the def of an alternaitve hypothsis what we want to test, testing the opposite of the null to find out if the null is actually false
in a qq plot, if the points dont exactly make a a large enough sample size per the central limit theorem
perfect line, then what would deem it normal
a confidence interval is given to find the proportion we are 95% confident that the proportion lies between 34.89% and 39.24%
of a paramter that belongs to a certain group
(0.34892, 0.39242)
interpret the interval
what do you do to find the confidence interval for since don't have the variance, conduct t test
one mean? give the R code t.test(data$column, conf. level=0.99)
t.test(data$column,mu=(x),alternative="greater")
what do you do if want to test whether the mean we
have is legit or whether it's actually higher or lower
or "less than" or "two sided"
1-pt(t,df)
how do you calculate the p value after running a
two sided
hyp test
2*(1-pt(t,df))
qqnorm(resid(fit))
how do you make a qq plot and what is it for?
it plots all the errors so you can check that errors are normally distributed
in residuals vs predictions plot, what are you testing errors have mean 0 and errors have equal variances
MGSC 291 exam 2
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