Question

(1) A Chi-squared test is typically used to test for any of the following except which of the following?

(A) If a mathematical model accurately predicts our observed frequencies of data values.

(B) If a mathematical model accurately predicts the total number of observed data values.

(C) If a mathematical model accurately predicts the pattern of our observed data values.

(D) Whether two factors present in a population are independent of one another.

(E) Whether a series of populations experience the same frequency of some trait.

(2) The hypergeometric distribution is sometimes used to predict the number of successes in an experiment that involves sampling without replacement. Imagine we use this distribution to predict numbers of successes and compare it to our observations using a chi-squared test with 8 degrees of freedom and we obtain a test statistic value of 18, which of the following best describes our conclusion?

(A) The hypergeometric distribution does not accurately predict the number of successes ( p > 0.05 ).

(B) The hypergeometric distribution does not accurately predict the number of successes ( p < 0.05 ).

(C) The hypergeometric distribution accurately predicts the number of successes ( p > 0.05 ).

(D) The hypergeometric distribution accurately predicts the number of successes ( p < 0.05 ).

(E) The hypergeometric distribution accurately predicts the number of successes ( p < 0.025 ).

(3) After conducting a one-way ANOVA test, one method to determine which groups differ in their means is to use Bonferroni-corrected t tests. When doing this for 5 groups, which of the following is closest to the appropriate p value to use so that the overall probability of type I error is only 0.05.

(A) 0.0005

(B) 0.001

(C) 0.005

(D) 0.01

(E) 0.05

(4) Which of the following is the best description of the one factor ANOVA procedure?

(A) We compare the observed variance of the group means and compare that value to that expected from sampling error. If it is higher than expected, then the means of the populations differ.

(B) We compare the mean observed variance within the groups to the value expected from sampling error. If it is higher, then the means of the populations differ.

(C) We compare the total observed variance to the range of the group means. If it is higher, then the means of the populations differ.

(D) We compare the largest within-group variance to the smallest. If it is higher, then the means of the populations differ.

(E) We compare the sample means. The one closest to the overall mean is significant.

(5) Which of the following would cause us to consider transforming our data prior to statistical testing?

(A) The means of the groups we are comparing in a one-way ANOVA differ.

(B) The means of the groups we are comparing in a two-way ANOVA differ.

(C) The variance of the residuals of our data changes as we move from one end of our X values to the other.

(D) The data values in an XY plot appear linear instead of curved.

(E) The variances of the groups we are comparing in a one-way ANOVA do not differ.

(6) A full statistical analysis of regression data would typically include all of the following except which of the following?

(A) A calculation of the predicted Y values using the observed X values.

(B) A calculation of the standard error of the slope.

(C) A plot of residuals to test linearity.

(D) A calculation of the coefficient of determination to determine how much of variance of Y values is explained by the variance of X values.

(E) An F test of F=MSerror/MSregression

(7) Why doesn't a correlation between one variable and another demonstrate that one is responsible for the other?

(A) Other unknown factors may cause the relationship between the variables.

(B) Post hoc ergo propter hoc is a well known logical fallacy.

(C) Linear relationships cannot demonstrate causation.

(D) The variables may need to be transformed if their variances are different.

(E) Regression equations cannot be used to make predictions outside the region for which data has been observed.

Answer #1

1: (E) option is correct because in this case population experiance the same frequesncy of some trait, it means that they are dependent to each other.

2: I think option (D) is correct. Because when p< .05, it means we reject our null hypothesis that means there is some correlation between variables.And in hypergeomtric distribution there is dependent variables. so when we reject hypothesis then it is correct.

3: Option (d) is correct because bonferroni corrected/ adjusted p = original alpha value/ number of analysis of the dependent variable. that means .05/5=.01.

4: option(b) is correct because technique is not dssigned to test the equality of several population variance . its objective is to test the equality of several population means .

1. Which of the following statements are true of One-way
ANOVA test?
a. It is a robust test (with sufficiently large samples and
relatively equal groups) even when the sample data are
statistically significantly different from normal distribution.
b. All of the other statements are correct.
c. It involves a dependent variable measured on a continuous
scale.
d. It involves an independent variable measured on a categorical
scale with 2+ groups/categories.
e.It compares the mean/average scores of the 2+ groups...

When should I use the Sign Test (single
variable)?
Remember that some tests, such as chi squared, can be used under
various circumstances. The goal of the test changes based on the
situation. Pay attention to the specific conditions noted in
parenthesis to ensure you are picking the correct goal.
A.
Test to see if the frequency data from a population fit a
discrete probability distribution.
B.
Compare categorical frequency data with an expected population
proportion. No difference between observed...

1) The standard t test for independent means should NOT
be used if the populations are highly __________ in opposite
directions.
2) For a study using a t test for independent means,
with any given total number of participants, power is greatest when
the participants are divided into __________ groups.
3)
In the formula “=
S2M1 +
S2M2,”
“S2M1”
represents
Group of answer choices
the variance of the difference scores for Population 1.
the estimated standard deviation of Population 1....

A one-way analysis of variance experiment produced the following
ANOVA table. (You may find it useful to reference
the q table).
SUMMARY
Groups
Count
Average
Column 1
3
0.66
Column 2
3
1.24
Column 3
3
2.85
Source of Variation
SS
df
MS
F
p-value
Between Groups
8.02
2
4.01
4.09
0.0758
Within Groups
5.86
6
0.98
Total
13.88
8
a. Conduct an ANOVA test at the 5% significance
level to determine if some population means differ.
Do not reject...

A one-way analysis of variance experiment produced the following
ANOVA table. (You may find it useful to reference
the q table).
SUMMARY
Groups
Count
Average
Column 1
6
0.71
Column 2
6
1.43
Column 3
6
2.15
Source of Variation
SS
df
MS
F
p-value
Between Groups
10.85
2
5.43
20.88
0.0000
Within Groups
3.86
15
0.26
Total
14.71
17
SUMMARY
Groups
Count
Average
Column 1
6
0.71
Column 2
6
1.43
Column 3
6
2.15
ANOVA
Source of Variation...

Here are the final marks of two separate cohorts of students
undertaking an intelligence test (100 is intelligent).Student
Scores
Cohort A
5
10
40
50
25
70
5
95
Cohort B
45
40
55
60
50
55
75
20
Mean A: 37.5
Mean B: 50.0
SY cohort A: 7550
SY cohort B: 1800
Variance cohort A: 1078.57
Variance cohort B: 257.14
(a) If you were fitting those data to bell shaped probability
curve(s), what would the curve(s) look like?
(b)...

1. Which of the following is a major difference between a
hypothesis test with a t statistic and the test with a z-score?
a.
You must know the population standard deviation for the z-score
but not for the t statistic.
b.
You use the normal distribution table to find critical values
for t but not for z.
c.
You must know the population median for the z-score but not for
the t statistic.
d.
There are no major differences between...

Q1. Why would you perform a one-way ANOVA over
a t-test? Is the answer, when the population means of only two
groups is to be compared, a t-test is used, but
when means of more than two groups are to be compared,
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Q2. A rag-tag group of bandits crash the party
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different candies that group grabbed. You arrange
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1-
There are 9 students in a class and 1 is female. If she is
selected as class president, which of the following completes a
TRUE sentence? We can reject the null hypothesis of no bias in
favour of the female student
Select one:
a. at α = 0.05.
b. at α = 0.01.
c.
at α = 0.15.
d. at α = 0.10.
2-
Pipefish are present in low numbers in the seagrass beds of
Akaroa Harbour. You have...

1. Which of the following does a box plot not display?
a. The range
b. The interquartile range
c. The lower quartile
d. The mean
2. You have income data for your entire customer database. Some
of your clients are far wealthier than others. Which of the
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a. The range
b. The mean
c. The median
d. The standard deviation
3. Some data were collected about consumer loyalty towards a
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