252conf
... cannot reject the null hypothesis. As a second example, assume that we are testing the same null hypothesis, but the sample size is 73, so that chi-squared has 72 degrees of freedom. Thus we have the following: n 73, DF n 1 72 , s 2 100, 20 64 , . 02 . The formula for the chi-squar ...
... cannot reject the null hypothesis. As a second example, assume that we are testing the same null hypothesis, but the sample size is 73, so that chi-squared has 72 degrees of freedom. Thus we have the following: n 73, DF n 1 72 , s 2 100, 20 64 , . 02 . The formula for the chi-squar ...
Chapter 11: Inference on Two Samples
... certain characteristics. For example, suppose we want to determine if college faculty voted at a higher rate than ECC students in the 2008 presidential election. Since we don't have any information from either population, we would need to take samples from each. This isn't an example of a hypothesis ...
... certain characteristics. For example, suppose we want to determine if college faculty voted at a higher rate than ECC students in the 2008 presidential election. Since we don't have any information from either population, we would need to take samples from each. This isn't an example of a hypothesis ...
tps5e_Ch2_1
... If we used this definition, the two students in part (c) of the example would fall at the 56th percentile (14 of 25 scores were less than or equal to 80). Of course, because 80 is the median score, it is also possible to think of it as being the 50th percentile. Calculating percentiles is not an exa ...
... If we used this definition, the two students in part (c) of the example would fall at the 56th percentile (14 of 25 scores were less than or equal to 80). Of course, because 80 is the median score, it is also possible to think of it as being the 50th percentile. Calculating percentiles is not an exa ...
Occupancy with two types of balls
... Suppose that there are two groups, say, n~ boys and n2 girls. Assume that their birthdays are independent and uniformly distributed on 365 days. The event S > 0 means that there is at least one birthday which a boy and a girl have in common. The classical birthday problem, Feller (1968) and Johnson ...
... Suppose that there are two groups, say, n~ boys and n2 girls. Assume that their birthdays are independent and uniformly distributed on 365 days. The event S > 0 means that there is at least one birthday which a boy and a girl have in common. The classical birthday problem, Feller (1968) and Johnson ...
PDF
... Fan and Shelton (2008) introduce a likelihood-weighted sampling scheme, and more recently ElHay et al. (2008) introduce a Gibbs-sampling procedure. Such sampling-based approaches yield more accurate answers with the investment of additional computation. However, it is hard to bound the required time ...
... Fan and Shelton (2008) introduce a likelihood-weighted sampling scheme, and more recently ElHay et al. (2008) introduce a Gibbs-sampling procedure. Such sampling-based approaches yield more accurate answers with the investment of additional computation. However, it is hard to bound the required time ...
sb_erice2008_2
... The choice of significance to be use depends on the study: A) If s and b are expected values then we take into account both statistical fluctuations of signal and of background. Before observation we can calculate only an internal (or initial) significance Zp which is a parameter of experiment. Zp c ...
... The choice of significance to be use depends on the study: A) If s and b are expected values then we take into account both statistical fluctuations of signal and of background. Before observation we can calculate only an internal (or initial) significance Zp which is a parameter of experiment. Zp c ...
t Test for a Single Sample
... • Used to compare two sets of scores where there are two scores for each person – Repeated-measures – Within-subjects – Paired ...
... • Used to compare two sets of scores where there are two scores for each person – Repeated-measures – Within-subjects – Paired ...
Document
... • Calculate the rank sum and the mean rank for males (and females if you have time) • For the group sizes nA = 11 (males) and nB = 12 (females), p < 0.05 if the rank sum for the smallest group (males) is below 100 or ...
... • Calculate the rank sum and the mean rank for males (and females if you have time) • For the group sizes nA = 11 (males) and nB = 12 (females), p < 0.05 if the rank sum for the smallest group (males) is below 100 or ...
