A major cab company in Chicago has computed its mean fare from O'Hare Airport to the Drake Hotel to be

$

28.99

, with a standard deviation of

$

3.79

. Based on this information, complete the following statements about the distribution of the company's fares from O'Hare Airport to the Drake Hotel.

(a) According to Chebyshev's theorem, at least ?56%75%84%89% of the fares lie between 21.41 dollars and 36.57 dollars.

(b) According to Chebyshev's theorem, at least ?56%75%84%89% of the fares lie between 19.515 dollars and 38.465 dollars.

(c) Suppose that the distribution is bell-shaped. According to the empirical rule, approximately ?68%75%95%99.7% of the fares lie between 21.41 dollars and 36.57 dollars.

(d) Suppose that the distribution is bell-shaped. According to the empirical rule, approximately 99.7% of the fares lie between

dollars

and

dollars

.

Mr. Vaughn, a 27-year-old man, is hiking in the woods near his home in the American Midwest. He feels a sharp stinging sensation on his left ankle. As he looks down he sees a dark colored snake moving off the trail into the woods. Mr. Vaughn calls the ED at the local hospital. He tells the nurse what has happened. What should the nurse tell Mr. Vaughn? What actions should the nurse take at this time? Mr. Vaughn is brought to the ED via the paramedics along with a park ranger. The park ranger used the patient's description of the snake and determined that it was a pit viper. What is the priority of care for Mr. Vaughn? When the Mr. Vaughn's wounds are reassessed, the nurse notes heavy bleeding from the puncture site. What should the nurse's next actions be? Why?

Listed below are portions of the financial statements for MS Park Inc.  

Complete the following Table for MS Park & provide a brief statement on their short term financial position:

1, 33% of consumers read the ingredients listed on a product's label. For a sample of 265 consumers, what is the probability that between 80 and 103 of them read the ingredients listed on a product's label?

2.

The hotel room rate in New York City is normally distributed with a mean of $294 per night. Assume that the standard deviation is unknown.

If 23% of the New York City hotel room rates are more than $328 per night, what is the variance? (Remember the label.)

3.

The Economic Policy Institute reports that the average entry-level wage for male college graduates is $22.23 per hour and for female college graduates is $18.97 per hour. The standard deviation for male graduates is $3.94 and for female graduates is $3.02. Assume wages are normally distributed.

If 30 female graduates are chosen, find the probability the sample average entry-level wage is at least $19.85

4. Julie visits the local park 90 times, and sees her favorite pigeon 38 times. Let p be the probability that Julie sees the pigeon on any given visit, and assume that whether Julie sees the pigeon on some visit is independent of whether she sees the pigeon on any other visit.

(a) Construct a 90% two-sided confidence interval for p.

(b) Julie believes that there is a 50% chance that she sees the pigeon when she visits the park. Is your interval in part (a) consistent with that belief? Explain your answer.

(c) Test Julie’s claim from part (b) with a hypothesis test. Use a significance level of α = 0.05. Perform the test by comparing a test statistic to a critical value found in the tables in the back of your textbook.

(d) Perform the test in part (c) using a p-value.

Rental Summary

1. Calculate the Amount Due.
   amtDue = baseCharge + mileCharge

2. Print the Customer summary as follows:

Rental Summary
Rental Code:        The rental code
Rental Period:      The number of days the vehicle was rented
Starting Odometer:  The vehicle's odometer reading at the start of the rental period
Ending Odometer:    The vehicle's odometer reading at the end of the rental period
Miles Driven:       The number of miles driven during the rental period
Amount Due:         The amount of money billed displayed with a dollar sign and
                    rounded to two digits. For example, $125.99 or $43.87                   

Final Check
Remove ALL print code from your script, except for the Rental Summary.
The following data will be used in this final check:

Rental Code:        D
Rental Period:      5
Starting Odometer:  1234
Ending Odometer:    2222

Your final output should look like this:

Rental Code: D
Rental Period: 5
Starting Odometer: 1234
Ending Odometer: 2222
Miles Driven: 988
Amount Due: $324.40

Rental Summary Feedback Link

Before you submit your final code file for grading, it might be a good idea to get some feedback as a final check. This feedback is for your benefit and this will not submit your code for grading.

If so, click the Help Me! link below.

Help Me!

import sys
'''
Section 1: Collect customer input
'''

##Collect Customer Data - Part 1

##1)   Request Rental code:
#Prompt --> "(B)udget, (D)aily, or (W)eekly rental?"
#rentalCode = ?
rentalCode = input("(B)udget, (D)aily, or (W)eekly rental?\n")
print(rentalCode)
budget_charge = 40.00
daily_charge = 60.00
weekly_charge = 190.00
#2)   Request time period the car was rented.

#Prompt --> "Number of Days Rented:"
#rentalPeriod = ?
#   OR
#Prompt --> "Number of Weeks Rented:"
#rentalPeriod = ?
if rentalCode == 'B' or rentalCode == 'D':
rentalPeriod= int(input('Number of Days Rented:\n'))
else:
rentalPeriod =int(input('Number of Weeks Rented:\n'))

daysRented = rentalPeriod
#CUSTOMER DATA CHECK 1
#ADD CODE HERE TO PRINT:
#rentalCode
#rentalPeriod

#Calculation Part 1

##Set the base charge for the rental type as the variable baseCharge.
#The base charge is the rental period * the appropriate rate:

#Collect Customer Data - Part 2

#4)Collect Mileage information:
#a)   Prompt the user to input the starting odometer reading and store it as the variable odoStart

#Prompt -->"Starting Odometer Reading:\n"
# odoStart = ?

#b)   Prompt the user to input the ending odometer reading and store it as the variable odoEnd

#Prompt -->"Ending Odometer Reading:"
# odoEnd = ?

#c) Calculate total miles

#Print odoStart, odoEnd and totalMiles

# Calculate Charges 2

##   Calculate the mileage charge and store it as
# the variable mileCharge:

#a)   Code 'B' (budget) mileage charge: $0.25 for each mile driven

#b)   Code 'D' (daily) mileage charge: no charge if the average
# number of miles driven per day is 100 miles or less;
# i)   Calculate the averageDayMiles (totalMiles/rentalPeriod)

# ii)   If averageDayMiles is above the 100 mile per day
# limit:
# (1)   calculate extraMiles (averageDayMiles - 100)
# (2)   mileCharge is the charge for extraMiles,
# $0.25 for each mile

#c)   Code 'W' (weekly) mileage charge: no charge if the
# average number of miles driven per week is
# 900 miles or less;

# i)   Calculate the averageWeekMiles (totalMiles/ rentalPeriod)

# ii)   mileCharge is $100.00 per week if the average number of miles driven per week exceeds 900 miles

'''
Section 3: Display the results to the customer
'''
#1) Calculate the Amount Due as the variable amtDue
# This is the base charge + mile charge

#2. Display the results of the rental calculation:

print ("Rental Summary")
print("Rental Code: ", rentalCode)
print ("Rental Period: ", rentalPeriod)
print ("Starting Odometer: ", odoStart)
print ("Ending Odometer: ", odoEnd)
print ("Miles Driven: ", totalMiles)
print ("Amount Due: ", amtDue)

onsider the following questions: How much does milk cost on the East Coast of the United States? How many minutes does it take to drive 30 miles at an average speed of 55 miles per hour? What is the age difference between you and your siblings? How many hours of sleep do teenagers get during the school year compared to summer vacation? Define each question as being or not being a statistical question and explain why.

Use graphs to illustrate the difference between a fuel tax and CAFE standard on the marginal cost (to the consumer) per mile driven.

Use what you know about elasticity to discuss why a fuel tax would need to be very high in order to bring about a substantial reduction in miles driven.

Use what you know about supply and demand to discuss why fuel efficiency standards might actually result in more miles driven.

A random sample of Midsize Sedans’ Miles per Gallon (mpg) were recorded and the                   data is listed below. Assume the miles per gallon are normally distributed:

24.6      30.2      29.9      33.1      26.7

28.5      31.6      36.3      24.4      28.7

1. Calculate the mean (1 pt):

2. Calculate the standard deviation (1 pt):

3. Construct a 90% confidence interval for population mean (4 pts):

4. Construct a 95% confidence interval for population standard deviation (4 pts):

Apply the case on facebook or Microsoft.

Regarding the notion of organizational culture, structure and styles of management from the perspectives of Handy’s (1976) and Miles & Snow (1978). These authors provided their frameworks that are different from each other’s. What you have to do:

Take an organization with which you are familiar or imaginary organization and evaluate & relate or apply Handy’s and Miles & Snow’s typologies (scientific/logical classification/steps of organizational culture, structure and styles) that they provided in their approaches or framework.