Assume that you are using a piezoelectric material to build a micro/MEMS actuator beam in order to pick up a red-blood cell (with mass of ~1picogram or 10-12grams). If the dimensions of this actuator beam are length=100µm, width=10μm, and thickness=1μm, what is the minimal voltage you need to apply to this piezoelectric actuator in order to pick up the red-blood cell? Please write down all your assumptions used to estimate the voltage required.

True or False:

"The goal of an economic system should be to create as much economic growth as fast as possible."

Identify if you believe this statement is True or False. Provide a supporting explanation to your answer. Your explanation should include a graph.

Make sure to define any concepts from the section that you use in your explanation.

Osmosis and Tonicity experiment:

Red blood cells prefer an isotonic (isosmotic) environment. What happens to red blood cells place into a hypertonic (hyperosmotic) environment? Why is that bad for a patient?

What happens to red blood cells placed into a hypotonic (hypoosmotic) environment? Why is that bad for a patient?

Approximately 8% of males experience red-green color blindness. Suppose a random sample of 200 men is chosen. a. Assuming the necessary conditions are satisfied, give the mean and standard deviation of the Normal model that would be used to approximate the sampling distribution of the sample proportion of red-green color blindness. b. Sketch and clearly label the sampling distribution, based on the 68-95-99.7 Rule. c. Suppose the 200 person sample had a sample proportion of 10%. What is the probability that the sample proportion would be 10% or higher? Does that proportion seem to be an unusual result or does it meet our expectations? Briefly explain

a. What are the redeeming qualities and shortcomings of the internal rate of return (IRR) method in capital budgeting analysis? explain

b.Explain conceptually in detail what the weighted average cost of capital (WACC) is and the role it plays in capital budgeting.

c. Explain why the opportunity cost and net working capital (NWC) are included, while the financing costs and sunk costs are NOT in the cash flow analysis.

*(Explained in greatest depth/detail if possible)*

**(Preferably pertaining to Economist Karl Polanyi's Fictitious Commodities, Embeddedness, and Double Movement theorems)**

Has the Economic and Political sectors in the state of Utah been assimilated by the sentiments of The Church of Jesus Christ of the Latter-day Saints (Mormons) religious beliefs? If so, I wonder not only how it affects Utah’s Economic related well-being, but how the LDS religion affects the entire culture of the state of Utah?

You may need to use the appropriate technology to answer this question.

An amusement park studied methods for decreasing the waiting time (minutes) for rides by loading and unloading riders more efficiently. Two alternative loading/unloading methods have been proposed. To account for potential differences due to the type of ride and the possible interaction between the method of loading and unloading and the type of ride, a factorial experiment was designed. Use the following data to test for any significant effect due to the loading and unloading method, the type of ride, and interaction. Use α = 0.05.

Find the value of the test statistic for method of loading and unloading.

Find the p-value for method of loading and unloading. (Round your answer to three decimal places.)

p-value =

State your conclusion about method of loading and unloading.

Because the p-value > α = 0.05, method of loading and unloading is not significant.Because the p-value ≤ α = 0.05, method of loading and unloading is significant.     Because the p-value ≤ α = 0.05, method of loading and unloading is not significant.Because the p-value > α = 0.05, method of loading and unloading is significant.

Find the value of the test statistic for type of ride.

Find the p-value for type of ride. (Round your answer to three decimal places.)

p-value =

State your conclusion about type of ride.

Because the p-value ≤ α = 0.05, type of ride is not significant.Because the p-value ≤ α = 0.05, type of ride is significant.     Because the p-value > α = 0.05, type of ride is not significant.Because the p-value > α = 0.05, type of ride is significant.

Find the value of the test statistic for interaction between method of loading and unloading and type of ride.

Find the p-value for interaction between method of loading and unloading and type of ride. (Round your answer to three decimal places.)

p-value =

State your conclusion about interaction between method of loading and unloading and type of ride.

Because the p-value > α = 0.05, interaction between method of loading and unloading and type of ride is significant.Because the p-value > α = 0.05, interaction between method of loading and unloading and type of ride is not significant.     Because the p-value ≤ α = 0.05, interaction between method of loading and unloading and type of ride is significant.Because the p-value ≤ α = 0.05, interaction between method of loading and unloading and type of ride is not significant.

2. You may need to use the appropriate technology to answer this question.

The calculations for a factorial experiment involving four levels of factor A, three levels of factor B, and three replications resulted in the following data: SST = 282, SSA = 26, SSB = 22, SSAB = 179.Set up the ANOVA table. (Round your values for mean squares and F to two decimal places, and your p-values to three decimal places.)

Test for any significant main effects and any interaction effect. Use α = 0.05.

Find the value of the test statistic for factor A. (Round your answer to two decimal places.)

Find the p-value for factor A. (Round your answer to three decimal places.)

p-value =

State your conclusion about factor A.

Because the p-value ≤ α = 0.05, factor A is not significant.Because the p-value ≤ α = 0.05, factor A is significant.     Because the p-value > α = 0.05, factor A is not significant.Because the p-value > α = 0.05, factor A is significant.

Find the value of the test statistic for factor B. (Round your answer to two decimal places.)

Find the p-value for factor B. (Round your answer to three decimal places.)

p-value =

State your conclusion about factor B.

Because the p-value ≤ α = 0.05, factor B is significant.Because the p-value ≤ α = 0.05, factor B is not significant.     Because the p-value > α = 0.05, factor B is not significant.Because the p-value > α = 0.05, factor B is significant.

Find the value of the test statistic for the interaction between factors A and B. (Round your answer to two decimal places.)

Find the p-value for the interaction between factors A and B. (Round your answer to three decimal places.)

p-value =

State your conclusion about the interaction between factors A and B.

Because the p-value > α = 0.05, the interaction between factors A and B is not significant.Because the p-value ≤ α = 0.05, the interaction between factors A and B is not significant.     Because the p-value ≤ α = 0.05, the interaction between factors A and B is significant.Because the p-value > α = 0.05, the interaction between factors A and B is significant.