There are three goods produced in an economy by three
individuals:
Good Producer
Hand Sanitizer Rabiatu
Face Mask Mariya
Veronica Bucket Zina
If Rabiatu likes only face mask, Mariya likes only veronica buckets
and Zina likes only hand sanitizer, will any trade take place
between these three persons in barter economy? How will introducing
money into the economy benefit these three persons
In: Economics
For each of the studies, please indicate the following:
1) Independent variable(s)
2) Number of IVs
3) The levels the independent variable(s)
4) Dependent variable
(for correlation, list all variables here)
5) Between (B/S) or within-subjects (W/S)?
6) What type of design is being used?
7) What is the appropriate statistic?
*If a question isn’t applicable to a particular design, please note that as well
Study1: A team of cognitive psychologists conducted a study on the effects of sleep deprivation on short-term memory decay. Forty-eight participants stayed in a lab for two days. Twenty-four of the participants are randomly assigned to a condition in which they are not permitted to sleep during that period. The other twenty-four are allowed to sleep whenever they want. At the end of the two days, the participants complete a task that involves reading a list of 20 words, then recalling as many words as possible.
Study2: A researcher examined the effect of different kinds of music on general math ability. Forty-eight participants were randomly assigned to do a series of math tasks under one of three conditions: 16 while listening to soft gentle music, 16 while listening to loud intense music, and 16 while in silence. The math quiz contained arithmetic, geometry, and word problems. There were 25 items that were 2 points each.
Study3: A health psychologist conducted a study on the how the number of hours a person exercised each week relates to the number of days being sick per year. Participants were randomly selected from the community and provided self-reports through a series of questions on the topics of interest.
Study4: A study was designed to test the effects of science fiction movies on participants' belief in the supernatural. A scale was designed to measure the degree that a participant believes in the supernatural on a 1-7 Likert Scale (high scores indicate high levels of belief). Fifty-seven participants, selected via random digit dialing (RDD) responded to the scale before and after watching Return of the Jedi, a popular science fiction movie.
Study5: A researcher at a drug treatment center wanted to determine the best combination of treatments that would lead to more substance free days. This researcher believed there were two key factors in helping drug addiction: type of treatment and type of counseling. The researcher was interested in either residential or outpatient treatment programs and either cognitive-behavioral, psychodynamic, or client-centered counseling approaches. As new clients enrolled at the center they were randomly assigned to one of six experimental groups. After 3 months of treatment, each client’s symptoms were measured.
Study6: An organizational psychologist is hired as a consultant by a person planning to open a coffee house for college students. The coffee house owner wants to know if her customers will drink more coffee depending on the ambience of the coffee house. To test this, the psychologist sets up three similar rooms, each with its own theme (Tropical; Old Library; or New York Café ) then arranges to have thirty students spend an afternoon in each room while being allowed to drink all the coffee they like. (The order in which they sit in the rooms is counterbalanced.) The amount each participant drinks is recorded for each of the three themes.
Study7: A manager at a retail store in the mall wants to increase profit. The manager wants to see if the store’s layout (one main circular path vs. a grid system of paths) influences how much money is spent depending on whether there is a sale. The belief is that when there is a sale customers like a grid layout, while customers prefer a circular layout when there is no sale. Over two days the manager alternates the store layout, and has the same group of customers come each day. Based on random assignment, half of the customers are told there is a sale (20 % will be taken off the final purchases), while the other half is told there is no sale. At the end of each day, the manager calculates the profit.
In: Statistics and Probability
The fill amount of bottles of a soft drink is normally distributed, with a mean of 1.01.0 literliter and a standard deviation of 0.040.04 liter. Suppose you select a random sample of 2525 bottles. a. What is the probability that the sample mean will be between 0.990.99 and 1.01.0 literliter? b. What is the probability that the sample mean will be below 0.980.98 literliter? c. What is the probability that the sample mean will be greater than 1.011.01 liters? d. The probability is 9999% that the sample mean amount of soft drink will be at least how much? e. The probability is 9999% that the sample mean amount of soft drink will be between which two values (symmetrically distributed around the mean)? a. The probability is nothing. (Round to three decimal places as needed.) b. The probability is nothing. (Round to three decimal places as needed.) c. The probability is nothing. (Round to three decimal places as needed.) d. There is a 9999% probability that the sample mean amount of soft drink will be at least nothing liter(s). (Round to three decimal places as needed.) e. There is a 9999% probability that the sample mean amount of soft drink will be between nothing liter(s) and nothing liter(s). (Round to three decimal places as needed. Use ascending order.)
PLEASE SHOW ME HOW TO DO IT IN EXCEL, THANKS
In: Math
obs group g density 1 Control 1 605 2 Control 1 604 3 Control 1 640 4 Control 1 602 5 Control 1 580 6 Control 1 599 7 Control 1 597 8 Control 1 617 9 Control 1 566 10 Control 1 578 11 Lowjump 2 625 12 Lowjump 2 624 13 Lowjump 2 632 14 Lowjump 2 623 15 Lowjump 2 635 16 Lowjump 2 623 17 Lowjump 2 624 18 Lowjump 2 627 19 Lowjump 2 630 20 Lowjump 2 630 21 Highjump 3 649 22 Highjump 3 630 23 Highjump 3 632 24 Highjump 3 615 25 Highjump 3 633 26 Highjump 3 625 27 Highjump 3 615 28 Highjump 3 634 29 Highjump 3 598 30 Highjump 3 619
Many studies have suggested that there is a link between exercise and healthy bones. Exercise stresses the bones and this causes them to get stronger. One study examined the effect of jumping on the bone density of growing rats. There were three treatments: a control with no jumping, a low-jump condition (the jump height was 30 centimeters), and a high-jump condition (60 centimeters). After 8 weeks of 10 jumps per day, 5 days per week, the bone density of the rats (expressed in mg/cm3 ) was measured. Here are the data. data379.dat (a) Make a table giving the sample size, mean, and standard deviation for each group of rats. Consider whether or not it is reasonable to pool the variances. (Round your answers for x, s, and to one decimal place.) Group n s Control Low jump High jump (b) Run the analysis of variance. Report the F statistic with its degrees of freedom and P-value. What do you conclude? (Round your test statistic to two decimal places and your P-value to three decimal places.) F = P = Conclusion: There is statistically significant difference between the three treatment means at the ? = .05 level.
Sorry here is the Date
In: Statistics and Probability
Many studies have suggested that there is a link between exercise and healthy bones. Exercise stresses the bones and this causes them to get stronger. One study examined the effect of jumping on the bone density of growing rats. There were three treatments: a control with no jumping, a low-jump condition (the jump height was 30 centimeters), and a high-jump condition (60 centimeters). After 8 weeks of 10 jumps per day, 5 days per week, the bone density of the rats (expressed in mg/cm3 ) was measured. Here are the data. data266.dat (a) Make a table giving the sample size, mean, and standard deviation for each group of rats. Consider whether or not it is reasonable to pool the variances. (Round your answers for x, s, and s_(x^^\_) to one decimal place.) Group n x^^\_ s s_(x^^\_) Control Low jump High jump (b) Run the analysis of variance. Report the F statistic with its degrees of freedom and P-value. What do you conclude? (Round your test statistic to two decimal places and your P-value to three decimal places.) F = P = Conclusion: There is statistically significant difference between the three treatment means at the α = .05 level.
obs group g density 1 Control 1 602 2 Control 1 543 3 Control 1 596 4 Control 1 542 5 Control 1 650 6 Control 1 574 7 Control 1 594 8 Control 1 613 9 Control 1 573 10 Control 1 616 11 Lowjump 2 621 12 Lowjump 2 659 13 Lowjump 2 627 14 Lowjump 2 648 15 Lowjump 2 629 16 Lowjump 2 639 17 Lowjump 2 632 18 Lowjump 2 645 19 Lowjump 2 631 20 Lowjump 2 638 21 Highjump 3 605 22 Highjump 3 606 23 Highjump 3 603 24 Highjump 3 598 25 Highjump 3 634 26 Highjump 3 600 27 Highjump 3 639 28 Highjump 3 594 29 Highjump 3 606 30 Highjump 3 617
In: Statistics and Probability
A doctor wanted to determine whether there is a relation between a male's age and his HDL (so-called good) cholesterol. The doctor randomly selected 17 of his patients and determined their HDL cholesterol. The data obtained by the doctor is the in the data table below. Complete parts (a) through (f) below.
Data:
Age, x, HDL Cholesterol, y
36 56
41 55
47 32
30 56
54 37
51 40
59 40
61 39
25 47
36 43
65 61
29 55
53 38
25 47
54 38
50 53
41 27
(a) Draw a scatter diagram of the data, treating age as the explanatory variable. What type of relation, if any, appears to exist between age and HDL cholesterol?
A. The relation appears to be linear.
B. The relation appears to be nonlinear.
C. There does not appear to be a relation.
(b) Determine the least-squares regression equation from the sample data.
ModifyingAbove y with caret equals y=?x+? (Round to three decimal places as needed.)
(c) Are there any outliers or influential observations?
No
Yes
Use technology to compute the P-value. Use the Tech Help button for further assistance.
The P-value is (Round to three decimal places as needed.)
e) Assuming the residuals are normally distributed, construct a 95% confidence interval about the slope of the trueleast-squares regression line.
|
Lower Bound |
equals= |
|
|
Upper Bound |
equals= |
(Round to three decimal places as needed.)
(f) For a 42-year-old male patient who visits the doctor's office, would using the least-squares regression line obtained in part (b) to predict the HDL cholesterol of this patient berecommended?
If the null hypothesis was rejected, that means that thisleast-squares regression line can accurately predict the HDL cholesterol of a patient. If the null hypothesis was not rejected, that means the least-squares regression line cannot accurately predict the HDL cholesterol of a patient.
Should this least-squares regression line be used to predict the patient's HDL cholesterol? Choose the correct answer below.
A. Yes, because the null hypothesis was rejected.
B. Yes, because the null hypothesis was not rejected.
C. No, because the null hypothesis was not rejected.
D. No, because the null hypothesis was rejected.
A good estimate for the HDL cholesterol of this patient is ? (Round to two decimal places as needed)
In: Statistics and Probability
Many studies have suggested that there is a link between exercise and healthy bones. Exercise stresses the bones and this causes them to get stronger. One study examined the effect of jumping on the bone density of growing rats. There were three treatments: a control with no jumping, a low-jump condition (the jump height was 30 centimeters), and a high-jump condition (60 centimeters). After 8 weeks of 10 jumps per day, 5 days per week, the bone density of the rats (expressed in mg/cm3 ) was measured. Here are the data. data190.dat
(a) Make a table giving the sample size, mean, and standard deviation for each group of rats. Consider whether or not it is reasonable to pool the variances. (Round your answers for x, s, and s_(x^^\_) to one decimal place.)
Group n x^^\_ s s_(x^^\_)
Control
Low jump
High jump
(b) Run the analysis of variance. Report the F statistic with its degrees of freedom and P-value. What do you conclude? (Round your test statistic to two decimal places and your P-value to three decimal places.)
F =
P =
Conclusion: There is statistically no/a significant difference between the three treatment means at the α = .05 level.
obs group g density 1 Control 1 616 2 Control 1 613 3 Control 1 609 4 Control 1 619 5 Control 1 664 6 Control 1 602 7 Control 1 571 8 Control 1 585 9 Control 1 600 10 Control 1 609 11 Lowjump 2 623 12 Lowjump 2 620 13 Lowjump 2 622 14 Lowjump 2 653 15 Lowjump 2 622 16 Lowjump 2 634 17 Lowjump 2 647 18 Lowjump 2 636 19 Lowjump 2 642 20 Lowjump 2 660 21 Highjump 3 639 22 Highjump 3 611 23 Highjump 3 586 24 Highjump 3 622 25 Highjump 3 610 26 Highjump 3 605 27 Highjump 3 626 28 Highjump 3 630 29 Highjump 3 605 30 Highjump 3 640
In: Math
Many studies have suggested that there is a link between exercise and healthy bones. Exercise stresses the bones and this causes them to get stronger. One study examined the effect of jumping on the bone density of growing rats. There were three treatments: a control with no jumping, a low-jump condition (the jump height was 30 centimeters), and a high-jump condition (60 centimeters). After 8 weeks of 10 jumps per day, 5 days per week, the bone density of the rats (expressed in mg/cm3 ) was measured. Here are the data. data126.dat
(a) Make a table giving the sample size, mean, and standard deviation for each group of rats. Consider whether or not it is reasonable to pool the variances. (Round your answers for x, s, and s_(x^^\_) to one decimal place.)
Group n x^^\_ s s_(x^^\_)
Control
Low jump
High jump
(b) Run the analysis of variance. Report the F statistic with its degrees of freedom and P-value. What do you conclude? (Round your test statistic to two decimal places and your P-value to three decimal places.)
F =
P =
Conclusion: There is no? or a? statistically significant difference between the three treatment means at the α = .05 level.
obs group g density 1 Control 1 565 2 Control 1 598 3 Control 1 611 4 Control 1 601 5 Control 1 623 6 Control 1 607 7 Control 1 595 8 Control 1 649 9 Control 1 620 10 Control 1 576 11 Lowjump 2 629 12 Lowjump 2 645 13 Lowjump 2 626 14 Lowjump 2 653 15 Lowjump 2 633 16 Lowjump 2 639 17 Lowjump 2 624 18 Lowjump 2 639 19 Lowjump 2 643 20 Lowjump 2 622 21 Highjump 3 619 22 Highjump 3 614 23 Highjump 3 606 24 Highjump 3 608 25 Highjump 3 615 26 Highjump 3 608 27 Highjump 3 620 28 Highjump 3 619 29 Highjump 3 597 30 Highjump 3 593
In: Math
In: Operations Management
In: Operations Management