Question

For a sample of n = 16 individuals, how large a Pearson correlation is necessary to be statistically significant for a two-tailed test with α = .05?

Answer #1

A sample of n = 16 individuals is selected from a population
with µ = 30. After a treatment is administered to the individuals,
the sample mean is found to be M = 33. We do not know the
population standard deviation.
A. If the sample variance is
s2 = 16, then calculate the estimated standard
error and determine whether the sample is sufficient to conclude
that the treatment has a significant effect? Use a two-tailed test
with α =...

A sample of n = 16 individuals is selected from a population
with µ = 30. After a treatment is administered to the individuals,
the sample mean is found to be M = 33. We do not know the
population standard deviation.
A. If the sample variance is
s2 = 16, then calculate the estimated standard
error and determine whether the sample is sufficient to conclude
that the treatment has a significant effect? Use a two-tailed test
with α =...

A sample of n = 16 individuals is randomly selected
from a population with a mean of μ = 65, and a treatment
is administered to the individuals in the sample. After treatment,
the sample mean is found to be M = 73.
(a) If the sample standard deviation is s = 11, are the
data sufficient to conclude that the treatment has a significant
effect using a two-tailed test with α = 0.05? (Round your
answers to three decimal...

Correlations
Sales
Price
Sales
Pearson Correlation
1
-.735**
Sig. (2-tailed)
0
N
34
34
Price
Pearson Correlation
-.735**
1
Sig. (2-tailed)
0
N
34
34
**. Correlation is significant at the 0.01 level (2-tailed).
Describe the correlation result in the above table in paragraph
form.

A random sample is selected form a normal population with a mean
of μ = 40 and a standard deviation of σ = 10. After a treatment is
administered to the individuals in the sample, the sample mean is
found to be M = 46.
a. How large a sample is necessary for this sample mean to be
statistically significant? (Assume a two-tailed test with α =
0.05)
b. If the sample mean were M = 43, what sample size...

A sample of n=18 individuals is selected from a population with
a mean of µ=77, and a treatment is administered to the individuals
in the sample. A treatment is administered to the individuals in
the sample and after treatment, the sample variance is found to be
s2=144.
a. If the treatment has a 3-point effect and produces a sample mean
of M=80, is this sufficient to conclude that there is a significant
treatment effect effect using a two-tailed test with...

A random sample is selected from a normal popula-tion with a
mean of μ = 40 and a standard deviation of σ = 10. After a
treatment is administered to the individuals in the sample, the
sample mean is found to be M = 46.
How large a sample is necessary for this sample mean to be
statistically significant? Assume a two-tailed test with alpha =
.05.

Correlations
Relationship happiness
Risk-Taking
Relationship happiness Pearson Correlation
1 -.097
Sig. (2-tailed)
.053
N 400 400
Risk-Taking Pearson Correlation
-.097 1
Sig. (2-tailed) .053
N 400 400
#7. Look at the correlation between Risk-Taking
(R) and Relationship Happiness (HAPPY). Use the standard alpha
level of 5%. How would you describe the relationship?
a. The relationship is non-significant.
b. There is a significant negative relationship.
c. There is a significant positive relationship....

(a) Suppose n = 6 and the sample correlation coefficient is r =
0.908. Is r significant at the 1% level of significance (based on a
two-tailed test)? (Round your answers to three decimal places.) t =
critical t =
(b) Suppose n = 10 and the sample correlation coefficient is r =
0.908. Is r significant at the 1% level of significance (based on a
two-tailed test)? (Round your answers to three decimal places.) t =
critical t =

QUESTION 2
Correlations
Total perceived
stress
Total Optimism
Total Mastery
age
Total perceived
stress
Pearson
Correlation
1
-.469**
-.612**
-.127**
Sig. (2-tailed)
.000
.000
.008
N
433
432
433
433
Total Optimism
Pearson
Correlation
-.469**
1
.546**
.201**
Sig. (2-tailed)
.000
.000
.000
N
432
435
435
435
Total Mastery
Pearson
Correlation
-.612**
.546**
1
-.036
Sig. (2-tailed)
.000
.000
.453
N
433
435
436
436
age
Pearson
Correlation
-.127**
.201**
-.036
1
Sig. (2-tailed)
.008
.000
.453
N
433...

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