The following data are monthly sales of jeans at a local department store. The buyer would like to forecast sales of jeans for the next month, July.

(a) Forecast sales of jeans for March through June using the naïve method, a two-period moving average, and exponential smoothing with an ? = 0.2. (Hint: Use naïve to start the exponential smoothing process.)
(b) Compare the forecasts using MAD and decide which is best.
(c) Using your method of choice, make a forecast for the month of July.

Terri Vogel, an amateur motorcycle racer, averages 129.71 seconds per 2.5 mile lap (in a 7 lap race) with a standard deviation of 2.28 seconds . The distribution of her race times is normally distributed. We are interested in one of her randomly selected laps. (Source: log book of Terri Vogel)

• a. In words, define the random variable X. X=
• b. X~
• c. Find the percent of her laps that are completed in less than 130 seconds.
• d. The fastest 3% of her laps are under _______ .
• e. The middle 80% of her laps are from _______ seconds to _______ seconds.

The national average of college students on a test of sports trivia is 50 with a standard deviation of 5. A sportscaster is interested in whether BC students know less about sports than the national average. The sportscaster tests a random sample of 25 BC students and obtains a mean of 48 Use an alpha level of 0.05. Is this a one-tailed or two tailed test?

Hatchet Corporation sells one product (using the periodic system of inventory) and had the following inventory transactions during the current month: Beginning Inventory 200 units costing $7 each Purchase on the 5th 600 units costing $8 each Purchase on the 17th 400 units costing $10 each Units sold during the month 900 units at a retail price of $15 each Answer the following questions in the space below. Calculate the cost of goods sold during the month using the Last-In-First-Out method of inventory allocation. Calculate the ending inventory balance (in dollars) using the Weighted-Average method of inventory allocation.

Ms. Child is considering the purchase of a new food packaging system. The system costs $85,295. Ms. Child plans to borrow one-third of the purchase price from a bank at 4.5% per year compounded annually. The loan will be repaid using equal, annual payments over a 7-year period. The system is expected to last 15 years and have a salvage value of $22,384 at that time. Over the 15 year period, Ms. Child expects to pay $1,033 per year for maintenance. The system will save $2,983 per year because of efficiencies. Ms. Child uses a MARR of 8% to evaluate investments. What is the equivalent uniform annual worth (EUAW) of this system?

A student group believes that less than 50% of students find their college experience extremely rewarding. They decide to test this hypothesis using a significance level of .05. They conduct a random sample of 100 students and 34 say they find their college experience extremely rewarding.

Based on the type of test this is (right, left, or two-tailed); determine the following for this problem.

4. Critical Value(s): _______________________

5. P-value Table A.3 _______________________ P-value Calculator:________________

P-value Table A.2 _______________

6: Can you reject? _______________________

7. Conclusion: Can we conclude or can we not conclude less than 50% of students find their college experience extremely rewarding? (write the conclusion in a sentence)

Problem: Given seven 8-mers as listed below

ATCGATAG

GGCCAATT

CGATATCG

AAGCAAGC

AGCGTACG

CCGCATTA

ATCCATCG

1) Create the profile matrix; 2) Derive the consensus; 3) Calculate the consensus score; 4) Calculate the total distance between the 8-mers and the consensus.

Python - No libraries - No count() function allowed

You need to travel 100 miles via rental car. There are several cars on the lot to choose from, each with their own MPG (miles per gallon) rating. Some cars have a manual transmission, while others do not (they're automatic). The price for gas in the area is $3 per gallon. Cars that have a manual transmission get a 10% discount at the pump.

To streamline your selection, the car rental place can supply you with a dictionary that represents the cars on their lot. The keys of this dictionary are names of cars, and their values are another dictionary. The inner dictionary has a key for the MPG of this car, and a key for whether or not the car is manual.

Write a function called def cheapest(cars) that returns the name of the car that costs the least amount of money to travel 100 miles.

Here is an example (there could be more than just two cars):

cars_on_lot = {'Civic':{'mpg':40,'manual':True},'Volt':{'mpg':50,'manual':False}}

print(cheapest(cars_on_lot)) # Volt

The "Civic" gets 40 miles to the gallon and is a manual transmission. 100 miles in this car requires 2.5 gallons of gas. The manual transmission deduction is $0.75. Therefore, it costs $6.75 to travel 100 miles in this car.

The "Volt" gets 50 miles to the gallon but is not a manual transmission. 100 miles in this car requires 2 gallons of gas. There is no manual transmission deduction. Therefore, it costs $6 to travel 100 miles in this car.

Of these two options, the Volt is the cheapest car you can use to travel 100 miles.

1. Find the mean hours of exercise per week by the participant.  
2. Find the variance and standard deviation of the hours of exercise per week by the participants.
3. Run a bivariate correlation to determine if there is a linear relationship between the hours of exercise per week and the life satisfaction. Report the results of the test statistic using correct APA formatting.
4. Run a linear regression on the data. Report the results, using correct APA formatting. Identify the amount of variation in the life satisfaction ranking that is due to the relationship between the hours of exercise per week and the life satisfaction (Hint: the R² value)
5. Report a model of the linear relationship between the two variables using the regression line formula.