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Terms in this set (119)

1) determine null and alt hypo, using u where H0:u=u0 and H1 is any other one. U0 is assumed value of pop mean
2) select lvl of sig alph based on seriousness of making a type I error
3) provided that the pop from which the sample is drawn is normal or sample size is large, and pop sd σ is known , the distr of sample mean x- , u0 is normal w/ mean and sd σ=SD(x-)=σ/n
Therefore t0=(x—-u0)/s/n represents the # of sd that the sample mean is from the assumed mean. This is test statistic
4) lvl of sig used to determine the crit value, the crit region represents the mas # of sd that the sample mean can b from u0 before the null hypo is rejected. The crit region or rejection region is the set of all values such that the null hypo is rejected
Classical approach: Use table t to determine the crit value using n-1 dof
L tailed is -tα, R tail is tα, two tail is -tα/2 and tα/2
5) compare crit value w/ test statistic
Two tail: if t0< -tα/2 or t0> tα/2, reject the null hypo
L tail: if t0<-tα, reject null hypo 9like (-2.22<-1.2, so reject)
R tail: if t0>tα, reject the null hypo
6) state conclusion
P-value approach: 4) use table to determine P-value using n-1 dof
L tail: area to left of t0 is p-value, two tail: sum of area in the tail is p value (-t0 to t0), R tail: area to R of t0 is p value
Look at table, go on dof row, and find the calculated t-value or at least the two numbers its between. Go up and see what the confidence lvl is and thats the p-value
5) if p-value< α, reject the null
6) state the conclusion