I strongly recommend you NOT turn in your homework, until after we meet on Wednesday. #s 11 and 12 in particular will be making use of the Excel Data Analysis, and several new concepts we have yet to cover[like p-value]. # 9 and 10 we covered last week, but we will practice some more on these type problems on Wednesday.

Even on True-False, like #9 and 10SHOW YOUR WORK!

1. A Type I error is rejecting a true null hypothesis.

TrueFalse

2. The larger the p-value, the more we doubt the null hypothesis.

TrueFalse

3. A Type II error is failing to reject a false null hypothesis.

TrueFalse

4.For a hypothesis test about a population proportion or mean, if the level of significance is less than the p-value, the null hypothesis is rejected.

TrueFalse

5. Alpha (a) is the probability that the test statistic would assume a value as or more extreme than the observed value of the test.

TrueFalse

6. The level of significance indicates the probability of rejecting a false null hypothesis.

TrueFalse

7.When conducting a hypothesis test about a single mean, reducing the level of significance (a) will increase the size of the rejection region.

TrueFalse

8. When testing a hypothesis about a single mean, if the sample size is 20, and the population standard deviation is unknown and the population is assumed to be a normal distribution, the correct test statistic to use is __________.

A.

B. Z

C. t

D. p-value

9.Testing H₀: m 8 versus H_A: m> 8, given a = .01, n = 25, = 8.112, and s = .16, we should reject the H₀. (Assume the sample is selected from a normally distributed population.)

TrueFalse

10.Testing H₀: 2.5 versus H_A: < 2.5 when ,= 2.46, s = .05, and n = 26 at a = .10 we reject the null hypothesis. (Assume that the population from which the sample is selected is normally distributed.)

TrueFalse

11. Do The Bank Customer waiting time case on page 347 (9.30). Correct answers found in the back of the book count for 0 unless supported by clear work shown

12. Do example 10.10 on page 379 using EXCELs Data Analysis add-in. Copy and paste your EXCEL output table into the word document/pdf .

a) To answer part a, first create an EXCEL Data Analysis add-in output of the test of equality of the mean weekly expenses (basically replicate the MINITAB output from fig. 10.5 you see in the book).

b) Complete questions b-e; for parts b,c, and e ONLY do it at .10 and .05 levels