The New Hotel Of Marseille has 2 different meeting rooms named Honorine and Zoe. In Honorine, there is a meeting for a pharmaceutical company while in Zoe there is a meeting for an insurance company. The reception team was well informed about the pharmaceutical meeting but not the insurance’s, every time a person asks the reception for the meeting location, they were immediately sent to Honorine. Two of the participants came back to the front desk and they were very upset about being sent to the wrong place, when asking about why they were not sent to the correct meeting, the receptionist politely replied and informed them that based on the information he had, there is only one meeting at the hotel today, but the guests insisted that their company organized a meeting at the hotel, so the reception showed his understanding and apologized about the misunderstanding and immediately called the sales department who confirmed that there are two different meetings.

Questions: Question 1: What is the reason behind this situation? Why? (35 pts.)

Question 2: Who is responsible for avoiding such misunderstandings in the future? How? (35 pts.)

Question 3: How would you evaluate the service delivered by the front office team? (30 pts.)

1. Choose the scenario under which each of the following Doppler shift effects will be seen:

choices are:

The source and observer are approaching one another

The source and observer are moving away from one another

The source and observer are stationary relative to one another

1.1 Light is shifted towards the blue end of the spectrum (blue-shifted).

1.2 The apparent pitch of the source is lower than the actual pitch of the source.

1.3 There is no apparent change in the pitch or color.

1.4 Light is shifted towards the red end of the spectrum (red-shifted).

1.5The apparent pitch of the source is higher than the actual pitch of the source.

2.Sounds coming from moving objects, such as the siren of an emergency vehicle, appear to change pitch as the object moves toward or away from you. Compare the frequency of a siren based on its motion toward or away from you.

rate from  highest to lowest

away from you 31 miles per hour

toward you at 34 miles per hour

away from you at 34 miles per hour

toward you at 55 miles per hour

neither toward nor away from you

toward you at 3 miles per hour

The Indiana State Police union is interested in whether the number of miles driven by each trooper is the same or different for the three different 8-hour shifts. Twenty Indiana state troopers were selected randomly selected on each of the three shifts and the number of miles that they traveled was recorded.

a) Is this an observational or an experimental study? Please explain your answer.

b) What is the population in this study?
20 Indiana troopers in each shift.
All police officers
The recorded number of miles
The times of the shift.
The Indiana State Police union
All Indiana State Troopers

c) What is the factor or treatment in this study?
All police officers
20 Indiana troopers in each shift.
All Indiana State Troopers
The times of the shift.
The Indiana State Police union
The recorded number of miles

d) What is the outcome variable of this study?
The Indiana State Police union
All Indiana State Troopers
The recorded number of miles
20 Indiana troopers in each shift.
The times of the shift.
All police officers

e) State a possible source of bias in this study. Feel free to speculate beyond the explicit statement of the question. However, nothing that is assumed can be contradicted by what is stated. Please include any assumptions that you are making.

A tire manufacturer warranties its tires to last at least 20 comma 000 miles or​ "you get a new set of​ tires." In its​ experience, a set of these tires last on average 28 comma 000 miles with SD 5 comma 000 miles. Assume that the wear is normally distributed. The manufacturer profits ​$200 on each set​ sold, and replacing a set costs the manufacturer ​$400. Complete parts a through c.

​(a) What is the probability that a set of tires wears out before 20 comma 000 ​miles? The probability is nothing that a set of tires wears out before 20 comma 000 miles. ​(Round to four decimal places as​ needed.)

​(b) What is the probability that the manufacturer turns a profit on selling a set to one​ customer? The probability is nothing that the manufacturer turns a profit on selling a set to one customer. ​(Round to four decimal places as​ needed.)

​(c) If the manufacturer sells 500 sets of​ tires, what is the probability that it earns a profit after paying for any​ replacements? Assume that the purchases are made around the country and that the drivers experience independent amounts of wear. The probability is nothing that the manufacturer earns a profit after paying for any replacements on 500 sets of tires. ​(Round to four decimal places as​ needed.)

I am having a trouble with a python program. I am to create a program that calculates the estimated hours and mintutes. Here is my code.

#!/usr/bin/env python3
#Arrival Date/Time Estimator
#
#

from datetime import datetime
import locale

mph = 0
miles = 0
def get_departure_time():
    while True:
        date_str = input("Estimated time of departure (HH:MM AM/PM): ")
        try:
            depart_time = datetime.strptime(date_str, "%H:%M %p")
        except ValueError:
            print("Invalid date format. Try again.")
            continue
        return depart_time

def get_departure_date():
    while True:
        date_str = input("Estimated date of departure (YYYY-MM-DD): ")
        try:
            depart_date = datetime.strptime(date_str, "%Y-%m-%d")
        except ValueError:
            print("Invalid date format. Try again. ")
            continue
        return depart_date
  
def travel_calculations():

      Estimated_travel_time = (miles / mph)
      a=timedelta(hours=Estimated_travel_time)
      a=str(a)
      a=a.split(':')
      print (" The estimated travel time: ",a[0],'hours and ', a[1],'minutes')

def main():
    print("Arrival Time Estimator\n")
    depart_time = get_departure_time()
    depart_date = get_departure_date()
    travel_calculations()
    miles = input("Enter miles: ")
    mph = input("Enter miles per hour : ")
    return

if __name__ == "__main__":
    main()

Suppose you have ridden a bicycle from New York City to Key West, Florida. Your bicycle odometer shows the total miles you have travelled thus far, which you make a note of each day with paper and pencil. Your first two entries might be ‘55’ and ‘120’, indicating that you rode your bike 55 miles on day 1 and 65 miles on day 2. Your task is to create a NumPy array wherein you can record the cumulative miles you recorded each day during your trip “by hand”. Then use your Python skills to show the total miles that you rode each day. Assume the trip took a total of 35 days and included at least 4 non-consecutive days where no cycling was possible due to either weather conditions or personal fatigue/soreness. For the remaining 31 days, you would have covered the entire distance between NYC and Key West. Complete your work within your Jupyter Notebook for this assignment and be sure to include a writeup explaining your approach to this problem, including the ways in which you decided to make use of NumPy.

A reaction between substances A and B has b been found to give the following data:

Using the above data, determine the order of the reaction with respect to A and B, the rate law, and calculate the specific rate constant.

Use the accompanying table of standard scores and their percentiles under the normal distribution to find the approximate standard score of the following data values. Then state the approximate number of standard deviations that the value lies above or below the mean.

a. A data value in the 80th percentile

b. A data value in the 60th percentile

c. A data value in the 92nd percentile

a. The standard score for the 80th percentile is approximately

nothing.

​(Round to two decimal places as​ needed.)

​(Round to two decimal places as​ needed.)

z-score Percentile

-3.5        0.02

-3.0        0.13

-2.9        0.19

-2.8        0.26

-2.7        0.35

-2.6        0.47

-2.5        0.62

-2.4        0.82

-2.3        1.07

-2.2        1.39

-2.1        1.79

-2.0        2.28

-1.9        2.87

-1.8        3.59

-1.7        4.46

-1.6        5.48

-1.5        6.68

-1.4        8.08

-1.3        9.68

-1.2        11.51

-1.1        13.57

-1.0        15.87

-0.95      17.11

-0.90      18.41

-0.85      19.77

-0.80      21.19

-0.75      22.66

-0.70      24.2

-0.65      25.78

-0.60      27.43

-0.55      29.12

-0.50      30.85

-0.45      32.64

-0.40      34.46

-0.35      36.32

-0.30      38.21

-0.25      40.13

-0.20      42.07

-0.15      44.04

-0.10      46.02

-0.05      48.01

0.0          50.0

0.05        51.99

0.1          53.98

0.15        55.96

0.2          57.93

0.25        59.87

0.3          61.79

0.35        63.68

0.4          65.54

0.45        67.36

0.5          69.15

0.55        70.88

0.6          72.57

0.65        74.22

0.7          75.8

0.75        77.34

0.8          78.81

0.85        80.23

0.9          81.59

0.95        82.89

1.0          84.13

1.1          86.43

1.2          88.49

1.3          90.32

1.4          91.92

1.5          93.32

1.6          94.52

1.7          95.54

1.8          96.41

1.9          97.13

2.0          97.72

2.1          98.21

2.2          98.61

2.3          98.93

2.4          99.18

2.5          99.38

2.6          99.53

2.7          99.65

2.8          99.74

2.9          99.81

3.0          99.87

3.5

Eleven students and 14 professors took part in a study to find mean commuting distances. The mean number of miles traveled by students was 5.6 and the standard deviation was 2.8. The mean number of miles traveled by professors was 14.3 and the standard deviation was 9.1. Perform a test of the null hypothesis that the population variances are equal.