Question

1. If F = 2.90, you have five conditions and 85 participants, what would you conclude about your study?

*A) Your F value is statistically significant*

*B) Your F Value is not statistically significant*

*C) F* obtained value does not exceed either the critical
value at the *p* < .05 level or the *p< .01
level*

D) There is not enough information to answer this question

Answer #1

Given F value is 2.90,

There are five conditions, therefore degrees of freedom for treatments are dftreat=4

There are total 85 participants, therefore total degrees of freedom are dftotal=84

Hence error degrees of freedom is

dferror=dftotal-dftreat

dferror=84-4=80

Therefore test statistic follows F distribution with (4, 80) degrees of freedom.

Critical F value is obtained by using f table,

Since F value exceeds critical value.

A) F value is statistically significant.

1. r = -.85 and p<.05 between employment and GPA.
What would you conclude from these results?
a. There is a strong negative and statistically significant
correlation between employment and GPA among college students. This
means that students who work more tend to have lower GPA and vice
versa, to small extent.
b. There is a moderate negative and statistically significant
correlation between employment and GPA among college students. This
means that students who work more tend to have higher...

The future-alone participants made fewer cooperative moves than
did participants in other conditions, F(2, 28) = 5.87, p < .01.
Tukey’s HSD tests showed that the future-alone condition was
significantly different from the other two conditions at p < .05
and that the future-belonging and no-feedback-control conditions
were not significantly different from each other. Comparing the
future-alone group with the other two groups yielded d = 1.31, a
large effect. These results suggest that socially excluded
individuals are still less...

2. In a study examining the effect of caffeine on reaction time,
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population averages μ = 415 msec. The distribution of reaction
times is approximately normal with σ = 40. Assume that the
researcher obtained a sample mean of M = 400 msec for the
n = 36 participants in the study....

Prose rhythm is characterized as the occurrence of five-syllable
sequences in long passages of text. This characterization may be
used to assess the similarity among passages of text and sometimes
the identity of authors. The following information is based on an
article by D. Wishart and S. V. Leach appearing in Computer
Studies of the Humanities and Verbal Behavior (Vol. 3, pp.
90-99). Syllables were categorized as long or short. On analyzing
Plato's Republic, Wishart and Leach found that about...

If the alpha level is changed from .05 to .01, what affect does
that have on beta?
Beta decreases
Beta increases
beta is unaffected
cannot be determined
3 points
QUESTION 18
If alpha is 0.05 and the p value for your obtained statistic is
0.01, you could be making a _________.
either a Type II error or correct decision
either a Type II error or a Type I error
either a Type I error or a correct decision
all...

Prose rhythm is characterized as the occurrence of five-syllable
sequences in long passages of text. This characterization may be
used to assess the similarity among passages of text and sometimes
the identity of authors. The following information is based on an
article by D. Wishart and S. V. Leach appearing in Computer
Studies of the Humanities and Verbal Behavior (Vol. 3, pp.
90-99). Syllables were categorized as long or short. On analyzing
Plato's Republic, Wishart and Leach found that about...

Prose rhythm is characterized as the occurrence of five-syllable
sequences in long passages of text. This characterization may be
used to assess the similarity among passages of text and sometimes
the identity of authors. The following information is based on an
article by D. Wishart and S. V. Leach appearing in Computer Studies
of the Humanities and Verbal Behavior (Vol. 3, pp. 90-99).
Syllables were categorized as long or short. On analyzing Plato's
Republic, Wishart and Leach found that about...

The following data were obtained from an independent-measures
research study comparing three treatment conditions.
I
II
III
n = 6
n = 4
n =
4
M = 2
M = 2.5
M = 5
N = 14
T = 12
T = 10
T = 20
G = 42
SS = 14
SS = 9
SS = 10
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Use an ANOVA with α = .05 to determine whether there are any
significant mean differences among the...

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...

The following data were obtained from an independent-measures
research study comparing three treatment conditions.
I
II
III
n = 6
n = 4
n =
4
M = 2
M = 2.5
M = 5
N = 14
T = 12
T = 10
T = 20
G = 42
SS = 14
SS = 9
SS = 10
ΣX2tot = 182
Use an ANOVA with α = .05 to determine whether there are any
significant mean differences among the...

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