Ch. 10
Treating paired data as independent samples ignores the variation __________ paired values.
between
A specific type of dependent sampling when the sample observations are paired in some way is called
matched-pairs sampling.
Hypothesis testing for comparing population means uses the difference (x̄1 - x̄2) where the samples are assumed to be taken from populations with a _________ distribution
normal
The formula for calculating a pooled sample proportion is
pc= (x1+x2) / (n1+n2)
When testing the difference in two means, if the sample sizes are 60 and 80 and the sample variances are close in value, then one could approximate the ___________ score with the _________ score
t-score; normal score
Skipping a formal t test and simply using descriptive statistics can be a good choice if
the sample sizes are small, the populations are heavily skewed and there are extreme outliers.
The hypotheses H0: μ1 - μ2 = D0 & H1: μ1 - μ2 ≠ D0 indicate a
two-tailed test.
The folded F test is used to conduct a _________ tailed test, simplified with only ________ critical value for F, found using α/2.
two; one
The criteria for assuming normality of p1 - p2 is that both np and n(1-p) for each sample is greater than or equal to
10
If no information is available about the population variances, one should choose Case ___ when testing the difference between means.
3
Inference regarding the ratio of sample variances uses the ______________ distribution which is based on a family of distributions depending on the separate degrees of freedom
F
For a left-tailed test for the following null hypothesis H0: π1 - π2 ≥ .20, the p-value = .2266. Given that α = .10, the correct conclusion would be
Fail to reject H0. There is not significant evidence to conclude the difference in proportions is less than .20.
True or false: A confidence interval can be used to conduct a right-tailed test provided the α values are the same.
False
True or false: Sample sizes must be equal when testing the difference between two means.
False
True or false: The steps in a two sample hypothesis test are twice the number of steps in a one sample hypothesis test.
False
The hypotheses to determine whether the average AAA battery life for Brand A differs from Brand B are
H0: μ1-μ2=0 & H1: μ1-μ2≠0
Select the method below which is NOT one of the two types of matched-pairs samples.
Independent samples from two populations
A confidence interval estimate for the difference in customer satisfaction rates between May and June of last year is -.14 ± .03. Which statement below is most appropriate?
It appears that the customer satisfaction rate decreased from May to June.
When choosing which test statistic to use for testing the difference of two means, which of the following are the three cases that one can choose?
Population variances are known, population variances are unknown but assumed equal and population variances are unknown and not assumed equal.
Order the steps in a two sample test.
(1) state the hypothesis (2) set up the decision rule (3) collect sample data and calculate a test statistic (4) make a conclusion
When comparing two population proportions with the following sample results (p1 = .24, p2 = .28, n1 = 100, n2 = 200, and pc = .2667) the z test statistic would be
-.74
For a left-tailed test for the following null hypothesis H0: π1 - π2 ≥ .20, the z test statistic = -.75. The p-value for this test is
.2266
The statistic (S12) / (S22) follows what distribution if independent samples are drawn from normal populations with equal variances?
Fdf1,df2 distribution
True or false: An F test for two samples can be found under Excel's Data Analysis Toolpak.
True
To conduct an F test in Excel one can
choose the function =F.TEST(array1, array2) or Choose Data > Data Analysis > F-Test Two Sample Variances
For matched-pairs sampling, the parameter of interest is referred to as the mean ______________
difference
When testing the difference in means, ____________ sample sizes can offer some advantages.
equal
The t test is considered _______________ to mild violations of normality.
robust
The test statistic for testing non-zero difference in proportions would be
zcalc = (p1−p2−D0) / (p1(1−p1)/n1)+(p2(1−p2)/n2)
We combine, or pool, the sample proportions into one "big" sample when testing for _______________ difference between population proportions.
zero
Which is the correct formula for the margin of error for a confidence interval for the different between two proportions?
zα/2 sq[ (p1(1−p1)/n1) + (p2(1−p2)/n2) ]
Choose the correct statement about sample sizes when calculating a confidence interval for the difference in means.
Sample sizes do not need to be equal.
One can approximate the t statistic using the z score (and substituting s12 and s22 for the population variances) if
both sample sizes are 30 or more and the populations are not badly skewed.
When conducting a two-tailed F test for the comparison of means, given that n1 = 10, n2 = 8, and α = .05, FR =
4.82; 0.24
To find the lower critical value of the F statistic with alpha = .05, df1 = 12 and df2 = 7, use the Excel function
=F.INV(.025, 12,7)
True or false: When testing for a non-zero difference in proportions we would still calculate a pooled proportion.
False
Choose the correct formulation for a right-tailed test for non-zero difference in proportions.
H0: π1 - π2 ≤ D0 vs H1: π1 - π2 > D0
If an analyst believes Fund 1 is riskier than Fund 2, the appropriate hypotheses she would use to verify this are
H0: σ12/σ22 ≤ 1; H1: σ12/σ22 > 1
For a matched-pairs test for the difference in means, the Excel output allows us to use either the p-value approach or the
critical value approach.
The Fdf1,df2 distribution is
positively skewed.
When using a confidence interval to test for difference in means, using equal or balanced sample sizes will increase the ________ of the test.
power
If we know that 90 out of100 customers in a grocery store chain prefer having their groceries bagged for them, we would express this parameter as a population
proportion
If the Excel output for a matched pairs right-tailed test shows the t stat = 3.4551 and the t critical value is shown as 1.721 at α = 0.05 then the decision would be
to reject the null hypothesis because 3.4551 > 1.721.
A manufacturer may want to compare the reliability of two products by comparing the _____________ of their product characteristics.
variance
When setting up a two-tailed hypothesis test for comparing two variances, the correct formulation is:
H0: (σ12/σ22) = 1 vs H1: (σ12/σ22) ≠ 1
When collecting sample proportion data a success is defined as
any event of interest
The parameter of interest for a matched-pairs sampling is
d = X1 - X2
The formula for calculating the confidence interval for a mean difference is
dbar ± tα/2[sd/sq(n)]
Samples might show statistically significant differences but a company's financial expert can tell you if the difference is
important
A statistically significant result would be important if the mean difference is
large enough.
The folded F test requires that we put the ___________ sample variance in the numerator of the test statistic.
larger
A researcher finds that 15 out of 45 customers of store 1 feel they get good service where 20 out of 40 customers in store 2 feel they get good service. The sample proportions are
p1 = .33 (15/45) for store 1 and p2 = .50 (20/40) for store 2
When comparing two population proportions with the following sample results (p1 = .24, p2 = .28, n1 = 100, n2 = 200) the pooled proportion would be
pc = (24+56) / (100+200) = .2667
When comparing the percentage of satisfied customers between Dell and HP one would analyze the difference between population
proportions
When formulating a hypothesis test for comparing two variances, rather than calculating a difference, we calculate a
ratio
The test statistic for testing equality of proportions
uses a pooled proportion to calculate the standard error, assumes when samples are large that p1 - p2 is normally distributed and is a z score
Inference concerning the ratio of 2 population variances is used to determine relative variability or, in the context of finance,
volatility
Which of the following describes a two sample test situation?
An agriculture study that compares the yield of two different crops, a marketing study that looks at purchasing patterns from two different demographic groups and an education study that looked at the change in freshmen GPAs from one year to the next.
If we would like to test whether or not two population proportions differ by at least .30, the null hypothesis will state:
H0: π1 - π2 ≥ .30 vs H1: π1 - π2 < .30
If normality of p1 - p2 cannot be assumed then the test must be conducted using the
binomial distribution.
When testing the difference between two means, the test statistic for cases 2 and 3 will be the same if the
the sample sizes are equal.
In comparing two population proportions, our parameter of interest is
π1 - π2
Two sample tests are used to compare sample results taken from two different
populations
When sample observations can be paired (or we have dependent samples) treating these as independent samples will
reduce the power of the test.