1. Which of the following shocks did NOT contribute to the Great Depression

   		rising interest rates
   		stock market crash
   		bank panics
   		rising budget deficits

2. Both the Great Recession and the Great Depression

   		had unemployment peaking at 10%
   		were caused by short-run aggregate supply shocks
   		were associated with falling prices
   		were associated with a financial crisis

3. During the Great Depression, the lack of which safeguard for depositors created the incentive for bank runs?

   		Interest rate caps
   		unemployment insurance
   		deposit insurance
   		social security

4. When depositors withdraw from the banking system,

   		economic activity improves because people spend their money
   		economic activity declines because banks are unable to make loans
   		economic activity is unaffected because banks do not produce goods or services
   		none of the above

Refer to the Baseball 2016 data, which report information on the 30 Major League Baseball teams for the 2016 season.

1. At the .10 significance level, is there a difference in the variation in team salary among the American and National League teams?
2. Create a variable that classifies a team’s total attendance into three groups: less than 2.0 (million), 2.0 up to 3.0, and 3.0 or more. At the .05 significance level, is there a difference in the mean number of games won among the three groups?
3. Using the same attendance variable developed in part (b), is there a difference in the mean number of home runs hit per team? Use the .05 significance level.
4. Using the same attendance variable developed in part (b), is there a difference in the mean salary of the three groups? Use the .05 significance level.

Refer to the Baseball 2016 data, which report information on the 30 Major League Baseball teams for the 2016 season.

1. At the .10 significance level, is there a difference in the variation in team salary among the American and National League teams?
2. Create a variable that classifies a team’s total attendance into three groups: less than 2.0 (million), 2.0 up to 3.0, and 3.0 or more. At the .05 significance level, is there a difference in the mean number of games won among the three groups?
3. Using the same attendance variable developed in part (b), is there a difference in the mean number of home runs hit per team? Use the .05 significance level.
4. Using the same attendance variable developed in part (b), is there a difference in the mean salary of the three groups? Use the .05 significance level.

At a major food production facility, a cart of bananas with a mass of 200kg is at the top of a 10m high hill, moving with a speed of 6m/s. At the end of the production line is a segment where brakes are applied (uk = 0.4; D = 8m), and then the cart runs into a giant stopping spring (K = 10,000 N/m; total length = 4m).

a. Draw a FBD of the cart while in contact with the spring.

b. Show that the initial energy (at the top of the hill) of the cart is 23,200J.

c. Determine the distance the cart goes after touching the spring before it is brought to rest for the first time (answer to B is Eo).

d. Assuming that, after touching the spring, the cart travels 1.5m (not answer to part C) before stopping, determine the acceleration of the cart at the time its speed is zero.

The accompanying data are the number of wins and the earned run averages​ (mean number of earned runs allowed per nine innings​ pitched) for eight baseball pitchers in a recent season. Find the equation of the regression line. Then construct a scatter plot of the data and draw the regression line. Then use the regression equation to predict the value of y for each of the given​ x-values, if meaningful. If the​ x-value is not meaningful to predict the value of​ y, explain why not.

​(a) x=5 wins

​(b) x=10 wins

​(c) x=21 wins

​(d) x=15 wins

Wins, x= 20 18 17 16 14 12 11 9

Earned run average, y= 2.74 3.31 2.65 3.64 3.94 4.34 3.88 5.16

1. Find the regression equation.

2. Graph below

The accompanying data are the number of wins and the earned run averages​ (mean number of earned runs allowed per nine innings​pitched) for eight baseball pitchers in a recent season. Find the equation of the regression line. Then construct a scatter plot of the data and draw the regression line. Then use the regression equation to predict the value of y for each of the given​ x-values, if meaningful. If the​ x-value is not meaningful to predict the value of​ y, explain why not. ​(a) x=5 wins (b) x=10wins (c) x=21 wins (d) x=15 wins

The equation of the regression line is y = (__) x + (__).

20, 2.72
18 3.26
17 2.72
16 3.75
14 3.83
12 4.41
11 3.73
9 5.07

Miranda, a satellite of Uranus, is shown in part a of the figure below. It can be modeled as a sphere of radius 242 km and mass 6.68 1019 kg.

(a) Find the free-fall acceleration on its surface. (m/s2)

(b) A cliff on Miranda is 5.00 km high. It appears on the limb at the 11 o'clock position in part a of the figure above and is magnified in part b of the figure above. A devotee of extreme sports runs horizontally off the top of the cliff at 8.50 m/s. For what time interval is he in flight? (Ignore the difference in g between the lip and base of the cliff.) (s)

(c) How far from the base of the vertical cliff does he strike the icy surface of Miranda? m (d) What is his vector impact velocity? (m/s ° below the horizontal)

The length of nylon rope from which a mountain climber is suspended has a force constant of 1.1 × 10^4 N/m.

Part (a) What is the frequency, in Hz, at which he bounces, given his mass and the mass of his equipment is 86 kg?

Part (b) How much would this rope stretch, in centimeters, to break the climber's fall if he free-falls 1.6 m before the rope starts to stretch?

Part (c) What is the frequency, in Hz, at which he bounces, given his mass and the mass of his equipment is 86 kg if the rope is twice as long?

Part (d) How much would this rope stretch, in centimeters, to break the climber's fall if he free-falls 1.6 m before the rope runs out of slack if the rope was twice the length?

Wilkerson Case

Prepare a table ( per unit and in total) showing sales, direct labor expenses, material expenses, machine expenses overhead, setup labor overhead, receiving/ production control overhead, engineering overhead, packaging/ ship overhead, margin, and margin % for valves, pumps, flow controllers, unused capacity (difference between capacity units and actual driver unit usage x driver rate figured at capacity levels), and in total using driver rates based on capacity usage levels (machine hours, production runs, engineering hours and shipments.)

The data can be found in the Wilkerson Case and in exhibits 1-4 of the Wilkerson Case

Are you not able to google case? exhibits? I do not know how to attach a document to the questions?