Question

1. The F ratio may be used to assess difference between (among):

a. two sample means b. three sample means c. four sample means d. All of these

3. With a two-group experimental design, the independent variable has been manipulated at:

a. one level b. two levels c. three levels d. all of these

4. For the F ratio, if alpha is set at .05, it remains at .05 of comparisons are made between (among)

a. 2 group means b. 10 group means c. 45 group means d. all of these

7. When the SS, sum of squares, is large, so too is the:

a. standard deviation b. variance c. both of these d. neither of these

9. The concept of “between variability” is based on:

a. how far the scores in all groups deviate from the total mean b. how far the scores in a single group deviate from their own group mean d. all of these, depending on the between degrees of freedom.

Answer #1

1. F ratio is used to access the difference bet two or more measn

Option d is correct.

3. Option B is correct.

4. Alpha is remains same

Option d is correct.

7. The **sum of squares** measures the deviation of
data points away from the **mean** value. A higher
**sum-of-squares** result indicates a
**large** degree of variability within the data set,
while a lower result indicates that the data **does**
vary considerably from the **mean** value.

Option C is correct.

9. at two or more levels. The **concept of "between
variability" is based** on. how far each sample mean
deviates from the total mean.

Option A is correct.

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1. if a statistically significant difference was found between
two means using an independent-samples t test, which of the
following interpretations would be correct.
A) something over and above sampling error is responsible for
the difference between sample means
B) the difference between two means is meaningful.
C)it is unlikely that something other than error is responsible
for the difference between the sample means.
D) the difference between the two means is due to a large effect
size
2. in...

24. Tukey’s HSD is used in order to:
a. establish the significance of the overall F ratio b. allocate
the degrees of freedom d. none of these
25. Once an F ratio has been found not to be significant, we
must immediately:
a. apply Tukey’s HSD b. Increase the alpha error c. re-allocate
the degrees of freedom d. none of these
26. Once an F ratio is found to be significant, then:
a. each sample mean must represent a different...

In
a within-subjects analysis of variance, the F ratio compares
_____________ to ____________.
a. within-group variability; unexplained variability
b. within-condition variability; subject variability
c. explained variability; within-group variability
d. between-condition variability; explained variability
e. between-condition variability; total variability
A main effect occurs when the.....
a. simple main effects vary
b. marginal means vary
c. estimated frequencies vary
d. observed frequencies are constant
Please explain! thanks :)

A study surveys students to determine the amount of Facebook use
during the time they are doing Math homework. Students are
classified into three groups: Non- User, Rarely-Use, Regularly-Use,
and their Math scores are recorded. The following data summarize
the results.
Facebook Use While Doing Homework
Non-User
Rarely-Use
Regularly-Use
n = 6
n = 8
n = 10
N = 24
M = 6
M = 2
M = 2
G = 72
SS = 30
SS = 33
SS...

1a
The following data were obtained from an independent-measures
research study comparing three treatment conditions.
I
II
III
2
5
7
5
2
3
0
1
6
1
2
4
2
2
T =12
T =10
T =20
G = 42
SS =14
SS =9
SS =10
ΣX2= 182
Use an ANOVA with α = .05 to determine whether there are any
significant mean differences among the treatments.
The null hypothesis in words is
Group of answer choices
a. There...

In testing the difference between two population means when
population standard deviations are
unknown, there are many cases depending upon whether the two
population standard deviations
are equal or not. Therefore, before testing the difference
between two population means, the
equality of two population variances must be tested first. Let
the sample data from population #1
be? =10,?̅ =97.4,? =8.8769andfrompopulation#2be? =7,?̅ =110,?
=30.2214. 111 222
Answer the following five questions assuming the level of
significance=0.1.
23. In testing the hypothesis...

1. Insofar as we must generalize from a sample to a population,
the observed difference between the sample mean and the
hypothesized population mean a) can't be interpreted at face value.
b) might be due to variability or chance. c) might be real. d) is
described by all of the above
2. The advantage of a one-tailed test is that it increases the
likelihood of detecting a a) false null hypothesis. b) false null
hypothesis in the direction of concern....

The MINITAB printout shows a test for the difference in
two population means.
Two-Sample
T-Test and CI: Sample 1, Sample 2
Two-sample T for Sample
1 vs Sample 2
N
Mean
StDev
SE Mean
Sample 1
5
29.00
3.00
1.3
Sample 2
7
28.89
3.63
1.4
Difference = mu (Sample
1) - mu (Sample 2)
Estimate for
difference: 0.11
95% CI for difference:
(-4.3, 4.5)
T-Test of difference =
0 (vs not =):
T-Value = 0.06 P-Value
= 0.96...

Question 45 pts
An experiment in which we can assess the simultaneous effect of
multiple factors on a response variable and in which all factor
combinations are represented is called a
Group of answer choices
(A) partitioning experiment
(B) cross reference experiment
(C) block experiment
(D) factorial experiment
Question 55 pts
The various states or levels that an experimental factor can
take on are called
Group of answer choices
(A) repetitions
(B) treatments
(C) x factors
(D) y factors
Question...

Which of the following terms are included in a 95% confidence
interval for the difference between two means found from a sample
of 25 for each sample?
a. the mean
b. T value for the df of 49, at two tail .05
c.all of these are used
d. only a and c

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