Question

State the null and research hypothesis for the following: In examining the relationship between sleep deprivation...

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.

Math   Statistics-And-Probability   
0 0
Add a commentTranscribed image text
Next >

Homework Answers

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

0 0
Know the answer?
Your Answer:

Post as a guest

Your Name:

What's your source?

Earn Coins

Coins can be redeemed for fabulous gifts.

Log In

Sign Up

Not the answer you're looking for?
Ask your own homework help question
Similar Questions
For the following research question, state an appropriate null and alternate hypothesis and determine whether the...
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...
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...
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...
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...
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...
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...
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)....
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...
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...
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...
ADVERTISEMENT
Need Online Homework Help?

Get Answers For Free
Most questions answered within 1 hours.

Ask a Question
ADVERTISEMENT