Question

You want to determine whether or not there is a significant relationship between IQ and eye-hand coordination. You obtain scores for the 62 students in a university class on both an IQ test and an eye-hand coordination test.

(a) State the null hypothesis.

(b) Given the number of students in your study, what is the tabled value of r for significance at the .05 error (95% confidence) level? Use a two-tailed test.

(c) Assume that you calculate a Pearson r between the two test scores and find that r = .48. Interpret this result at a two-tailed .05 error level: Is there a significant relationship between IQ and eye-hand coordination? (yes, no, or not enough information to tell) Explain.

Answer #1

Is there a significant relationship between Sales and
Promotion? Defend you answer
Correlations
Sales
Promotion
Sales
Pearson Correlation
1
.535**
Sig. (2-tailed)
0.001
N
34
34
Promotion
Pearson Correlation
.535**
1
Sig. (2-tailed)
0.001
N
34
34
**. Correlation is significant at the 0.01 level (2-tailed).

To determine whether training in a series of workshops on
creative thinking increases IQ scores, a total of 70 students are
randomly divided into treatment and control groups of 35 each.
After two months of training, the sample mean IQ (–X1) for
the treatment group equals 110, and the sample mean IQ
(–X2) for the control group equals 108. The estimated
standard error equals 1.80.
Question:
Steps:
Calculations or Logic:
Answer:
Using t , test the null hypothesis at the...

A researcher is interested in the correlation between an IQ test
and scores on a particular 8th grade achievement test. The
students's scores are assumed to be normal and the scale of this
test has been converted to the same scale as the IQ test. The
following data is for a sample of 30 eighth graders:
IQ Test Mean: 109 IQ Test S.D: 18
Achievement Test Mean: 104 Achievement Test S.D:. 22
Correlation of Test Scores: r=0.47
a) what does...

A researcher examined the relationship between sleep hours and
stress levels among NYC students. He studied 10 participants. He
found that r-statistics is r = .620. What is his conclusion? Use
alpha level = .05 Two-tailed test.
*Failed to reject the null hypothesis and conclude that there is
no relationship between the two variables.
*Reject the null hypothesis and conclude that there is no
relationship between the two variables.
*Reject the null hypothesis and conclude that there is a
relationship...

The test results of a correlation analysis conducted to assess
the relationship between body mass index and body fat percentage
indicated a Pearson correlation coefficient (r) value of 0.71.
Interpret the r value in terms of strength and direction. The
significance (p= 0.14) was tested at α = 0.01. Was there a
statistically significant correlation between body mass index and
body fat percentage? How did you arrive at your conclusion?

A researcher is interested in assessing the relationship between
depression and anxiety. A group of individuals completed a
depression inventory and an anxiety questionnaire. Higher scores on
both assessments indicate a higher level of depression or anxiety.
Test the relationship between these scores using a two-tailed test,
α=.05. What is the verbal research hypothesis (H1)?
a. Neuroticism scores and hours spent on Instagram daily are
linearly related; the correlation is not zero.
b. Neuroticism scores and hours spent on Instagram...

Trustworthiness and eye color. One group of researches decided
to study the relationship between eye color and trustworthiness. In
their experiment the researchers took photographs of 80 students
(20 males with brown eyes, 20 males with blue eyes, 20 females with
brown eyes, 20 females with blue eyes), each seated in a front of a
white background looking directly at the camera with a neutral
expression. The photos were cropped so the eyes were horizontal and
at the same height....

How do you determine if there is an overall significant
relationship between the dependent variable and the independent
variables (taken together)? Which test do you use?

Model Summary
S
R-sq
R-sq(adj)
1.65820
69.11%
66.02%
Analysis of Variance
Source
DF
SS
MS
F
P
Regression
1
61.5038
61.5038
22.37
0.001
Error
10
27.4962
2.7496
Total
11
89.0000
Under the pasted Model Summary and Analysis of Variance in Word
answer the following questions:
What is the Correlation Coefficient?
Does the Correlation Coefficient justify your answer to #14 or
would you now change your answer? Why or why not? What does the
Correlation Coefficient tell you about the direction...

A group of researchers wants to examine whether taking multiple
practice quizzes improve scores on tests. They compare the exam
scores for a sample of n1 = 12 students who
took multiple practice quizzes with the test scores of a sample of
n2 = 10 students who did not do any practice
quizzes. Results of the study revealed that the practice quiz group
had M1 = 95, SS1 = 52. The
no quiz group had M2 = 92,
SS2 =...

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