1.Please read: Nohria, N., Groysberg, B., Lee, L.–E.(2008). Employee Motivation, Harvard Business Review, 86 (78), p78-84.
And answer the following
view, 86 (78), p78-84.
And answer the following questions:
1.Which motivation theory does Nohria et al.’s (2008, p. 80) model on the “the four drives that underline motivation” relate to?
2.Which of the ‘drivers’ best fit you and why?
3.Now read “the organizational levers of motivation” and refer to the model on “how to fulfill the drivers that motivate employees” (Nohria et al., 2008, p. 81-82). Are the author’s suggestions to motivate sufficient? Why (not)?
4.Read the section on the importance of management. How important do you see management as a driving force for motivation?
5.What is your overall take on the article? Is it the solution to motivation for millennials or Gen Zers like you?
3.Can domestic dogs understand human body cues such as leaning? The experimenter leaned toward one of two objects and recorded
two objects and recorded whether or not the dog being tested correctly chose the object indicated. A four-year-old male beagle named Augie participated in this study. He chose the correct object 42 out of 70 times when the experimenter leaned towards the correct object.
(a) (2 points) Let the parameter of interest, π, represent the probability that the long-run probability that Augie chooses correctly. Researches are interested to see if Augie understands human body cues (better than gussing).
Fill in the blanks for the null and alternative hypotheses.
H0 : Ha :
(b) (6 points) Based on the above context, conduct a test of significance to determine the p-value to investigate if domestic dogs understand human body cues. What conclusion will you draw with significance level of 10%? (If you use an applet, please specify which applet you use, and the inputs.)
(c) (5 points) Based on the above context, conduct a test of significance to determine the p-value to investigate if domestic dogs understand human body cues. What conclusion will you draw with significance level of 5%? (If you use an applet, please specify which applet you use, and the inputs.)
(d) (2 points) Are your conclusions from part (b) and (c) the same? If they are different, please provide an explanation.
(e) (5 points) Shown below is a dotplot from a simulation of 100 sample proportions under the assump- tion that the long-run probability that Augie chooses correct is 0.50. Based on this dotplot, would a 90% confidence interval for π contain the value 0.5? Explain your answer.
(f) (4 points) Compute the standard error of the sample proportion of times that Augie chose the object correctly.
(g) (5 points)
(h) (3 points) question?
(i) (4 points)
(j) (4 points) A.
Construct an approximate 95% confidence interval for π using the 2SD method. What is the margin of error of the confidence interval that you found in the previous
How would you interpret the confidence interval that you found in part (g)?
Which of the following is a correct interpretation of the 95% confidence level?
If Augie repeats this process many times, then about 95% of the intervals produced will capture the true proportion of times of choosing the correct objective.
About 95% times Augie chooses the correct objective.
If Augie repeats this process and constructs 20 intervals from separate independent sam- ples, we can expect about 19 of those intervals to contain the true proportion Augie chooses the correct objective.
(k) (4 points)
object 21 out of 35 times.
Conjecture how, if at all, the center and the width of a 99% confidence interval would change with these data, compared to the original 2SD 95% confidence interval.
The center of the confidence interval would . The width of the confidence interval would .
(l) (4 points) Suppose that we repeated the same study with Augie, and this time he chose the correct object 17 out of 35 times, and we also change the confidence level from 95% to 99%. Conjecture how, if at all, the center and the width of a 99% confidence interval would change with these data, compared to the original 2SD 95% confidence interval.
Suppose that we repeated the same study with Augie, and this time he chose the correct
The center of the confidence interval would The width of the confidence interval would
4.MUST access/view this website link to help me solve this one big lab question:
https://opengeology.org/historicalgeology/virtual-field-experiences-vfes/vfe-glaciers/#Continental_glaciation_in_LiDAR And go/view liDAR image map of Scandinavia below the heading “Continental glaciation in liDAR” to view the image portion of the Scandanivia map on that site. I need help for this one final question regarding this liDAR image of Scandinavia for this lab assignment I’m doing to “Identify one of each of the following geomorphic 5 features below each associated with continental glaciation (TAKE a screenshot on your PC of an example of each from this liDAR map image of Scandinavia, and send those 5 images, labeling key features of the image, and put all 5 screenshot images of these below features with their labeled annotated key features in a Word Doc or PDF to SEND to me). From accessing this website link and using the liDAR map image of Scandinavia take take these 5 key feature screenshots, HERE are there 5 required features BELOW required to screenshot with key features labeled/annotated to take one of each on your PC( press “Fn” + “PrtScr” to screenshot images on your Windows PC(don’t know how on Mac PC) or use/downloa snippet program to take computer screenshots of these 5 features):
kettles SEE attached photo file for same directions for this question as typed here, but for more better simpler clarity to read the same directions as typed here on this attached file. ALSO THIS Assignment is really due by 11:59 pm tonight 11/7, but I want it done at least by 7 or 8 pm today 11/7. Thanks, please try to help me ASAP, I’m struggling.
5.1. Complete an algorithm, code and compile the following program. Save the program as finalgrade.py.
Final Grade Calculator
Write a program that
Final Grade Calculator
Write a program that allows an instructor to calculate the final grade for the students in a class. Use the following menu to drive the program:
1. Enter new student information
When the user chooses (1) they will be prompted for the following information:
Number of Exams and the grade for each
Number of Quizzes and the grade for each
Number of Homework assignments and the grade for each
Input validation: All grades entered must be between 0 and 100.
The final grade is then calculated as follows:
Exams: 40% of final grade
Display the final grade for each student. The user may enter as many students as possible until they choose to quit.
Please see attached output example.
2. Upload both your algorithm and your source code.
Grading Rubric: (20 points)
Include the following in your algorithm:
Algorithm (3 points)
If statements/Loops (8 points total)
Main menu loop and if statements (4)
Input validation loop for exam, quizzes, homework grade (2)
Input validation for main menu (2)
Calculations (9 points total)
Average exams (2)
Average quizzes (2)
Average homework (2)
Final Grade (3)