Slides 3-7 Proportion Inference
... P( z > 2.00 ) = 1 – 0.9772 = 0.0228 < . Again, reject H0. Example 5. H0: = 0.12 vs. Ha: > 0.12. Given a small sample with unknown population standard deviation, we use the T table (Table D) to set up the rejection region. With = 5% and degrees of freedom n – 1 = 14, the rejection region is: ...
... P( z > 2.00 ) = 1 – 0.9772 = 0.0228 < . Again, reject H0. Example 5. H0: = 0.12 vs. Ha: > 0.12. Given a small sample with unknown population standard deviation, we use the T table (Table D) to set up the rejection region. With = 5% and degrees of freedom n – 1 = 14, the rejection region is: ...
Practice Test 1
... 1. A population has a mean of 75 and a standard deviation of 8. A random sample of 800 is selected. The expected value of xoverbar is a. 8 b. 75 c. 800 d. None of these alternatives is correct. 2. In computing the standard error of the mean, the finite population correction factor is used when a. N/ ...
... 1. A population has a mean of 75 and a standard deviation of 8. A random sample of 800 is selected. The expected value of xoverbar is a. 8 b. 75 c. 800 d. None of these alternatives is correct. 2. In computing the standard error of the mean, the finite population correction factor is used when a. N/ ...
Error analysis
... but we have no specific details information about the nature of this distribution. Let us for this example say that it is the triangular distribution depicted in Illustration 1. In this case, the probability of observing a value in the range M to M+dM is $$p(M) = 2(1M)$$. We emphasize that this deta ...
... but we have no specific details information about the nature of this distribution. Let us for this example say that it is the triangular distribution depicted in Illustration 1. In this case, the probability of observing a value in the range M to M+dM is $$p(M) = 2(1M)$$. We emphasize that this deta ...
Practice Quiz 4
... a) they have more power b) they use larger values for alpha c) they result in smaller standard errors d) more than one of the above is an advantage of one-tailed tests ...
... a) they have more power b) they use larger values for alpha c) they result in smaller standard errors d) more than one of the above is an advantage of one-tailed tests ...
Final_Exam 2006
... randomly surveyed 50 seedlings, finding 40 of the seedlings to be alive. The total number of seedlings planted in the plantation was 5,000. Calculate a 95% confidence interval. ...
... randomly surveyed 50 seedlings, finding 40 of the seedlings to be alive. The total number of seedlings planted in the plantation was 5,000. Calculate a 95% confidence interval. ...
Homework 8 solutions
... In both cases (a) and (b), she is testing H0 : The training course is effective in increasing use of seat belts. Logically, the more serious error occurs when the course is truly effective, but our test says it is not effective. In this case, people will not take the course and safety belts use will ...
... In both cases (a) and (b), she is testing H0 : The training course is effective in increasing use of seat belts. Logically, the more serious error occurs when the course is truly effective, but our test says it is not effective. In this case, people will not take the course and safety belts use will ...
here - BCIT Commons
... they mean by "too different", this advice is rather useless. some authors (for example, Jarrell, p 468) actually give a rule of thumb, along the lines "if the larger of the two variances is not more than double the smaller one" as meaning "not too different." This is a good kind of rule of thumb, be ...
... they mean by "too different", this advice is rather useless. some authors (for example, Jarrell, p 468) actually give a rule of thumb, along the lines "if the larger of the two variances is not more than double the smaller one" as meaning "not too different." This is a good kind of rule of thumb, be ...
