Question

State the null and research hypothesis for the following: In examining the relationship between sleep deprivation and impatience, researchers hypothesized that there would be a strong correlation.

Answer #1

We have to test whether the relationship between sleep deprivation and impatience is strong or not.

it is mentioned that we have to test whether the relationship is strong positive or not. For strong positive, slope coefficient must be greater than 0

So, it is a case of one tailed hypothesis testing

Null hypothesis is that there is no significant strong correlation or relationship

Alternate hypothesis is that there is a significant strong positive correlation or relationship

For the following research question, state an appropriate null
and alternate hypothesis and determine whether the hypothesis test
would be directional or non-directional and whether it would be a
test of difference, equivalence, superiority, or non-inferiority.
Do students who get at least 8 hours of sleep the night before an
exam get different exam grades than those who get less than 8 hours
of sleep

Is it possible to reject the null hypothesis AND reject the
alternative hypothesis?
If the alternative hypothesis is: "There is a strong positive
correlation between quality of sleep and academic success" and I
find that the correlation coefficient is .39 (not strong) what
would the null hypothesis be, and would I accept that. The sample
size is 60 and the p value is below my level of significance of
.05

Sleep deprivation, CA vs. OR. For a recent
report on sleep deprivation, the Centers for Disease Control and
Prevention interviewed 11536 residents of California and 4556
residents of Oregon. In California, 923 respondents reported
getting insufficient rest or sleep during each of the preceding 30
days, while 396 of the respondents from Oregon reported the same.
Round each calculation to 4 decimal places.
1. Using California as population 1 and Oregon as population 2,
what are the correct hypotheses for...

Imagine we found a strong positive correlation between worry and
sleep disturbances and we hypothesized that drinking caffeine
before going to bed would exacerbate this relationship. What type
of analysis could we conduct to test this hypothesis?
a.
Moderation
b.
Mediation
c.
ANCOVA
d.
Two-way ANOVA

If
my question for a research project is "does sleep deprivation
increase tantrums in toddlers during their playtime?"what would be
my construct and the operational definition

According to a report on sleep deprivation by the Centers for
Disease Control and Prevention, the proportion of California
residents who reported insufficient rest or sleep during the on
each of the preceding 30 days is 8.0% while this proportion is 8.8%
for Oregon residents. A random sample of 11,545 California and
4,691 Oregon residents were surveyed. We are interested in finding
out if there is evidence to suggest that the rate of sleep
deprivation is different for the two...

1.Type 1 error is...
a.Correctly rejecting the null hypothesis.
b.Rejecting the null hypothesis when it’s actually true.
c.Correctly failing to reject the null hypothesis.
d.Failing to reject the null hypothesis when it’s actually
false.
2.Power is defined as the probability of...
a.Correctly rejecting the null hypothesis.
b.Correctly failing to reject the null hypothesis.
c.Failing to reject the null hypothesis when it’s actually
false.
d.Rejecting the null hypothesis when it’s actually true.
3. From Study Example 1: Based on the sample,...

A researcher is examining the relationship between height
(measured in centimeters) and weight (measured in kilograms). They
obtain a correlation coefficient of r = 0.3045. Suppose that the
researchers change their measurements to inches (1inch = 2.5400cm)
and pounds (1lb = 0.4536kg). After this change of units, what will
the new correlation coefficient be?

For a sample of 116 college students, the relationship between
the reported hours of sleep during the previous 24 hours and the
reported hours of study during the same period was studied. Data
for y = hours of sleep the previous day and x =
hours of studying the previous day for n = 116 college
students were computed. Some regression results for those data are
shown in the following table.
Regression output
Predictor
Coef
SE Coef
T
P
Constant...

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...

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