z 0 000 0 674 0 842 1 036 1 282 1 645 1 960 2 326 2 576 3 090 3 291 0 50 60 70 80 90 95 98 99 99 8 99 9 Confidence Level
t-table.pdf
t-distribution Confidence Level 60 70 80 85 90 95 98 99 99 8 99 9 Level of Significance 2 Tailed
tt.pdf
Table A 1: Normal Critical Values for Confidence Levels Confidence Level, C Critical Value, zc 99 2 575 98 2 33 95
appendix_table.pdf
The rule of thumb is written for z, but with n = 100 the t(99) and standard normal distributions are very close, so we can assume that t 025 ? 2 Thus the 95
class21-slides-all.pdf
In the above example, a confidence level of 95 was selected The value of z* for a specific confidence level is found using a table in the back of a statistics
confidence_intervals_notes.pdf
interval is close to the stated 95 level of confidence Same normal distribution (no need to use CLT here), the only difference is the sample size Why
stat301CI_t-dist.pdf
Because the area under the standard normal curve is thus called the 95 confidence interval for the mean Tables of t Distributions
ch7_0.pdf
are THAT confident the true population probability Usually we want a fairly high confidence level: 75 , 95 or Our confidence interval is p±z*SE(p)
Confidence%20Intervals.pdf
T-scores and the t-table The normal distribution is symmetric, it's the same on both The interval we gave would be the 95 confidence interval
Lecture_Wk08.pdf