Fruits=['mango','apple','orange','banana','grape']

prices=[15,12,17,7,19]

1. Using priceDict, find the price for 'grape'.

2. Add a price of 20 for 'pomegranate'.

3. Create a sorted list of all the prices in priceDict.

4. Calculate the average of all the prices in priceDict.

5. Update the price for 'pomegranate' to be 25.

6. Mangos has just sold out. Delete 'mango' and its price from priceDict.

Python

Descriptors are provided below for six situations involving notes receivable being discounted at a bank. In each case, the maturity date of the note is December 31, 2018, and the principal and interest are due at maturity. For each, determine the proceeds received from the bank on discounting the note. (Do not round intermediate calculations. Round your final answers to the nearest whole dollar.)

Styrene's empirical formula is CH. What mass of styrene contains 4.61 × 10²¹ atoms of carbon? The molar mass of styrene is 104 g/mol.

A. 0.0995 g

B. 0.796 g

C. 0.0612 g

D. 0.0919 g

E. 0.00766 g

How many moles of hexachlorobenzene, C₆Cl₆, are in 4.05 g of C₆Cl₆?

A. 0.0142 mol

B. 0.0293 mol

C. 0.0189 mol

D. 1.15 × 10³ mol

E. 0.0563 mol

ow many molecules are there in 122 g of benzoic acid, C₇H₆O₂?

A. 122

B. 6.02 × 10²³

C. (6.02 × 10²³) / 122

D. 122 × (6.02 × 10²³)

E. 61

The manager of an event-driven hedge fund becomes aware of some empirical evidence suggesting that companies having a very high value of PFCF (the ratio of stock price to free cash flow per share) relative to their industry average are likely to become targets for acquisition by other firms. The manager gathers the following data about companies of interest: • The probability that a company becomes an acquisition target during the course of a year is 0.45. • 73% of the companies that became acquisition targets had values of PFCF more than three times the industry average. • Only 25% of the companies that were not targeted for acquisition had values of PFCF more than three times the industry average. What should the hedge-fund manager conclude is the probability that a given company with a PFCF more than th

The manager of an event-driven hedge fund becomes aware of some empirical evidence suggesting that companies having a very high value of PFCF (the ratio of stock price to free cash flow per share) relative to their industry average are likely to become targets for acquisition by other firms. The manager gathers the following data about companies of interest: • The probability that a company becomes an acquisition target during the course of a year is 0.45. • 73% of the companies that became acquisition targets had values of PFCF more than three times the industry average. • Only 25% of the companies that were not targeted for acquisition had values of PFCF more than three times the industry average. What should the hedge-fund manager conclude is the probability that a given company with a PFCF more than th

1. Work in empirical asset pricing has studied portfolios where stocks are grouped together on the basis of a ‘value’ measure (e.g. book-to- market value or earnings per share divided by price per share). What is the evidence on how mean returns vary across such portfolios and why does this provide a challenge to the Capital Asset Pricing model? How would you interpret the existence of differences in mean returns across value portfolios? [Write no more than 15 sentences in your answer.]

Using all the data below, construct an empirical model using a computational tool (matlab, or R, any preferred). explain your model.

Data Description: These data are from a NIST study involving calibration of ozone monitors. The response variable (y) is the customer's measurement of ozone concentration and the predictor variable (x) is NIST's measurement of ozone concentration. MATLAB Row Vectors: xLst = [0.2, 337.4, 118.2, 884.6, 10.1, 226.5, 666.3, 996.3, 448.6, 777.0, 558.2, 0.4, 0.6, 775.5, 666.9, 338.0, 447.5, 11.6, 556.0, 228.1, 995.8, 887.6, 120.2, 0.3, 0.3, 556.8, 339.1, 887.2, 999.0, 779.0, 11.1, 118.3, 229.2, 669.1, 448.9, 0.5];

yLst = [0.1, 338.8, 118.1, 888.0, 9.2, 228.1, 668.5, 998.5, 449.1, 778.9, 559.2, 0.3, 0.1, 778.1, 668.8, 339.3, 448.9, 10.8, 557.7, 228.3, 998.0, 888.8, 119.6, 0.3, 0.6, 557.6, 339.3, 888.0, 998.5, 778.9, 10.2, 117.6, 228.9, 668.4, 449.2, 0.2];

A firm has a single-channel service station with the following empirical data available to its management.
i) The mean arround rate is 6.2 minutes
ii) The mean service time is 5.5 minutes
iii) The arrival and service time probability distributions are as follows:

Arrivals ( Minutes)         Probability              Service Time (Minutes)                Probability
3-4                                  .05                           3-4                                          .10
4-5                                  .20                           4-5                                          .20
5-6                                  .35                           5-6                                          .40
6-7                                  .25                           6-7                                          .20
7-8                                  .10                           7-8                                          .10
8-9                                  .05                           8-9                                          .00
Total                               1.00    1.00          

The queuing process begins at 10:00 am proceeds for nearly 2 hours. An arrival goes to the service facility immediately; if it is empty otherwise it will wait in a queue. The queue. The queue discipline is first come first served. If the attendant's wages are K10,000 per hour and the customer's waiting time cost K11,000 per hour, would it be an economical proposition to engage second attendant?