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Business Stats Chapter 10-11 TF and MC
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Business Stats Chapter 10-11 TF and MC
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Business Stats Chapter 10-11 TF andMC
If we are testing for the difference between 2 population means, it is
assumed that the sample observations from one population are independent
of the sample observations from the other population. - - True
- If samples taken from 2 populations are not independent, then a test of
paired differences may be applied - - True
- When testing for the difference between 2 dependent samples, sample size
n1 = n2 - - True
- We use the pooled estimate of the proportion in testing the difference
between 2 population proportions - - True
- In one class, a statistics professor wants to compare grades on the first
and second exams. This is an example of paired or dependent observations -
- True
- The test statistic for a problem involving samples of less than 30
observations and an unknown population standard deviation is the student's
t-distribution - - True
- The researcher must decide on the level of significance before formulating
a decision rule and collecting sample data - - True
- If the null hypothesis states there is no difference between the mean
income of males and females, then the test is one-tailed. - - False
- If the alternate hypothesis states that there is a difference between the
mean net income retail stores in Chicago and New York, then the test is two-
tailed. - - True
- To set up a decision rule, the sampling distribution is divided into 2
regions- a region of non-rejection and a region where the null hypothesis is
rejected - - True
- When is it appropriate to use the paired difference t-test? - - 2 dependent
samples are compared
- In testing for differences between the means of 2 independent populations,
the Ho is - - Ho: u1-u2=0
, - If 20/50 students sampled live in a college dormitory, what is the estimated
proportion of students at the University living in a dorm? - - 0.40
- If the Ha states that the difference between 2 population means does not
equal 4000, what is the rejection region for the hypothesis test? - - 0.40
- Which of the following conditions must be met to conduct a test for the
difference in 2 sample means? - - -Data must be at least of interval scale
-Populations must be normal
-Variances in 2 populations must be equal
- What is the degrees of freedom for the sample sizes 12 and 14? - - 24
(12+14)-2
- The researcher is interested in determining whether there is evidence that
the 2 processes yield different average error.
What is the null hypothesis? - - uA=uB
- The researcher is interested in determining whether there is evidence that
the 2 processes yield different average error.
What is the alternate hypothesis? - - uA is not = uB
- A type I error is committed when - - we reject a null hypothesis that is true
- A type II error is committed when - - we reject a null hypothesis that is
false
- The F distribution is negatively skewed and its values may range from 0-
positive infinity - - True
- The chi square distribution is a family of distributions, depending on
degrees of freedom - - True
- For the hypothesis test, Ho: O (2/1) = O(2/2) with n1=10 and n2=10, the F
statistic is 2.56. At the 0.01 level of significance, we would reject the null
hypothesis - - False
- The chisquare test statistic for a single population variance is always
positive - - True
- The shape of the F distribution is determined by the degrees of freedom for
the F statistic, one for the number and one for the denomination - - True
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