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# how does the end of the cold war in differ from the ends of previous significant wars

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view, 86 (78), p78-84. Article: https://hbr.org/2008/07/employee-motivation-a-powerful-new-model 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?
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irs during primary recovery. This problem explores some aspects of this behavior. Consider the expansion of methane from 300 bars to 50 bars at a constant temperature of 40 C (313 K). Methane obeys the following equation of state V =(RT/P)+C+(D/T) where C = 31 cm3/mol, D = -693cm3K/mole, and R = 83.14bar cm3/mole K. Note that the units of energy are bar-cm3/mole in this problem. Report your answer in bar-cm3/mole (a) What is the change in enthalpy during the expansion (b) What is the change in internal energy? (c) What is the heat removed? (d) How much work does the system do during the expansion?
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lane, The distance between Vancouver and Regina is 1739km. If the flight from Vancouver to Regina on a commercial airplane takes 140 minutes longer than a jet plane, what is the time of a commercial plane ride of this route. 2. A man goes fishing in a river and and wants to know how long it will take him to get 10km upstream to his favourite fishing location. The speed of the current is 3km/h and it takes his boat twice as long to go 3km upstream as is does to go 4km downstream. How long will it take his boat to get to his fishing spot?
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e idea of “least squares” in regression (you need to fully read pp. 200-208 to understand). 3) What does it mean if b = 0? 4) What does it mean when r-squared is 0? What does it mean when r-squared is 1? 5) What is the difference in an unstandardized regression coefficient and the standardized regression coefficient? 6) If a report says test performance was predicted by number of cups of coffee (b = .94), what does the .94 mean? Interpret this. (For every one unit increase in ___,There is an increase in ___ ) 7) If F (2,344) = 340.2, p < .001, then what is this saying in general about the regression model? (see p. 217) 8) Why should you be cautious in using unstandardized beta? (p. 218) 9) (Ch. 8) Explain partial correlation in your own words. In your explanation, explain how it is different from zero-order correlation (aka Pearson r). 10) (Ch. 9) What is the F statistic used to determine in multiple regression? 11) What is F when the null hypothesis is true? 12) In Table 9.4, which variable(s) are statistically significant predictors? 13) In Table 9.4, explain what it means if health motivation has b = .36 in terms of predicting number of exercise sessions per week. 14) What is the benefit of interpreting standardized beta weights? (see p. 264). 15) What happens if your predictor variables are too closely correlated? 16) Reflect on your learning. What has been the most difficult? How did you get through it? What concepts are still fuzzy to you? Is there anything you could share with me that would help me address how you learn best?
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