Questions
The mean cost of domestic airfares in the United States rose to an all-time high of...

The mean cost of domestic airfares in the United States rose to an all-time high of $400 per ticket. Airfares were based on the total ticket value, which consisted of the price charged by the airlines plus any additional taxes and fees. Assume domestic airfares are normally distributed with a standard deviation of $105. Use Table 1 in Appendix B.

a. What is the probability that a domestic airfare is $545 or more (to 4 decimals)?

b. What is the probability that a domestic airfare is $240 or less (to 4 decimals)?

c. What if the probability that a domestic airfare is between $310 and $470 (to 4 decimals)?

d. What is the cost for the 3% highest domestic airfares? (rounded to nearest dollar)

In: Statistics and Probability

The mean cost of domestic airfares in the United States rose to an all-time high of...

The mean cost of domestic airfares in the United States rose to an all-time high of $375 per ticket. Airfares were based on the total ticket value, which consisted of the price charged by the airlines plus any additional taxes and fees. Assume domestic airfares are normally distributed with a standard deviation of $105. Use Table 1 in Appendix B.

a. What is the probability that a domestic airfare is $530 or more (to 4 decimals)?

b. What is the probability that a domestic airfare is $250 or less (to 4 decimals)?

c. What if the probability that a domestic airfare is between $320 and $490 (to 4 decimals)?

d. What is the cost for the 2% highest domestic airfares? (rounded to nearest dollar)

In: Statistics and Probability

According to the US Bureau of Labor Statistics, in the United States, the employment rate measures...

According to the US Bureau of Labor Statistics, in the United States, the employment rate measures the number of people who have a job as a percentage of the working age population. In January 2020 the rate was 61.2%.

A) Recognizing that this is a binomial situation, give the meaning S and F in this context. That is, define what you will classify as a "success" S and what you will classify as a "failure" F as it refers to being employed.

B) Next, give the values of n, p, and q.

C) Construct the complete binomial probability distribution for this situation in a table.

D) Using your table, find the probability that exactly six working aged persons are employed.

E) Find the probability that at least 5 working aged persons are employed.

F) Find the probability that fewer than 6 working aged persons are employed.

G) Find the mean and standard deviation of this binomial probability distribution.

H) By writing a sentence, interpret the meaning of the mean value found in (G) as tied to the context of the percentage of working aged persons in the US.

I) Is it unusual to have 8 working aged persons in a group of 10 who are employed? Briefly explain your answer.

In: Statistics and Probability

b) When Nii Kpakpo got to the Ministry of Information in the United States of Accra,...

b) When Nii Kpakpo got to the Ministry of Information in the United States of Accra, he observed that managers were not playing their roles. For instance, workers prefer to come to work late and leave early to their homes to avoid traffic on the road after 5pm. Using the case of any organization, examine some behaviours expected of these managers in order to curb this situation and enhance performance .

In: Operations Management

According to the US Bureau of Labor Statistics, in the United States, the employment rate measures...

According to the US Bureau of Labor Statistics, in the United States, the employment rate measures the number of people who have a job as a percentage of the working age population. In January 2020 the rate was 61.2%.

A) Recognizing that this is a binomial situation, give the meaning S and F in this context. That is, define what you will classify as a "success" S and what you will classify as a "failure" F as it refers to being employed.

B) Next, give the values of n, p, and q.

C) Construct the complete binomial probability distribution for this situation in a table.

D) Using your table, find the probability that exactly six working aged persons are employed.

E) Find the probability that at least 5 working aged persons are employed.

F) Find the probability that fewer than 6 working aged persons are employed.

G) Find the mean and standard deviation of this binomial probability distribution.

H) By writing a sentence, interpret the meaning of the mean value found in (G) as tied to the context of the percentage of working aged persons in the US.

I) Is it unusual to have 8 working aged persons in a group of 10 who are employed? Briefly explain your answer.

In: Statistics and Probability

Data Set for Project 1 Maximum Temperatures by State in the United States for the month...

Data Set for Project 1
Maximum Temperatures by State
in the United States
for the month of August, 2013
State Name Max Temps in August 2013
AL 97
AK 97
AZ 45
AR 100
CA 49
CO 109
CT 93
DE 91
FL 102
GA 99
HI 90
ID 97
IL 97
IN 93
IA 100
KS 111
KY 93
LA 97
ME 93
MD 97
MA 97
MI 91
MN 109
MS 97
MO 97
MT 90
NE 108
NV 111
NH 93
NJ 108
NM 106
NY 93
NC 100
ND 88
OH 91
OK 108
OR 97
PA 93
RI 104
SC 97
SD 93
TN 99
TX 104
UT 106
VT 91
VA 102
WA 93
WV 91
WI 90
WY 99
  1. Open a blank Excel file and create a grouped frequency distribution of the maximum daily temperatures for the 50 states for a 30 day period. Use 8 classes.
  2. Add midpoint, relative frequency, and cumulative frequency columns to your frequency distribution.
  3. Create a frequency histogram using Excel. You will probably need to load the Data Analysis add-in within Excel. If you do not know how to create a histogram in Excel, view the video located at: http://www.youtube.com/watch?v=_gQUcRwDiik. A simple bar graph will also work.

If you cannot get the histogram or bar graph features to work, you may draw a histogram by hand and then scan or take a photo (your phone can probably do this) of your drawing and email it to your instructor.

  1. Create an ogive in Excel (or by hand).
  2. A. Do any of the temperatures appear to be unrealistic or in error? If yes, which ones and why?

B. Explain how this affects your confidence in the validity of this data set.

Project 1 is due by 11:59 p.m. (ET) on Monday of Module/Week 1.

please help!!!!!!!!

In: Statistics and Probability

The Interstate Conference of Employment Security Agencies says the average workweek in the United States is...

The Interstate Conference of Employment Security Agencies says the average workweek in the United States is down to only 35 hours, largely because of a rise in part-time workers. Suppose this figure was obtained from a random sample of 20 workers and that the standard deviation of the sample was 4.3 hours. Assume hours worked per week are normally distributed in the population. Use this sample information to develop a 90% confidence interval for the population variance of the number of hours worked per week for a worker. Interpret your interval.

In: Statistics and Probability

Suppose that the annual interest rate is 3 percent in the United States and 4 percent...

  1. Suppose that the annual interest rate is 3 percent in the United States and 4 percent in Germany, and that the S(EUR/USD) = $1.60 and the forward exchange rate, with one-year maturity, is F12(EUR/USD ) = $1.57. Assume that an arbitrager can borrow up to $10,000,000 or €6,250,000. If an astute trader finds an arbitrage opportunity, what is the net cash flow in one year? (Show each step and the values)

In: Finance

Use the data and Excel to answer this question. It contains the United States Census Bureau’s...

Use the data and Excel to answer this question. It contains the United States Census Bureau’s estimates for World Population from 1950 to 2014. You will find a column of dates and a column of data on the World Population for these years. Generate the time variable t. Then run a regression with the Population data as a dependent variable and time as the dependent variable. Have Excel report the residuals.

(a) Based on the ANOVA table and t-statistics, does the regression appear significant?

(b) Calculate the Durbin-Watson Test statistic. Is there a serial correlation problem with the data? Explain.

(d) What affect might your answer in part (b) have on your conclusions in part (a)?

Year Population
1950 2,557,628,654
1951 2,594,939,877
1952 2,636,772,306
1953 2,682,053,389
1954 2,730,228,104
1955 2,782,098,943
1956 2,835,299,673
1957 2,891,349,717
1958 2,948,137,248
1959 3,000,716,593
1960 3,043,001,508
1961 3,083,966,929
1962 3,140,093,217
1963 3,209,827,882
1964 3,281,201,306
1965 3,350,425,793
1966 3,420,677,923
1967 3,490,333,715
1968 3,562,313,822
1969 3,637,159,050
1970 3,712,697,742
1971 3,790,326,948
1972 3,866,568,653
1973 3,942,096,442
1974 4,016,608,813
1975 4,089,083,233
1976 4,160,185,010
1977 4,232,084,578
1978 4,304,105,753
1979 4,379,013,942
1980 4,451,362,735
1981 4,534,410,125
1982 4,614,566,561
1983 4,695,736,743
1984 4,774,569,391
1985 4,856,462,699
1986 4,940,571,232
1987 5,027,200,492
1988 5,114,557,167
1989 5,201,440,110
1990 5,288,955,934
1991 5,371,585,922
1992 5,456,136,278
1993 5,538,268,316
1994 5,618,682,132
1995 5,699,202,985
1996 5,779,440,593
1997 5,857,972,543
1998 5,935,213,248
1999 6,012,074,922
2000 6,088,571,383
2001 6,165,219,247
2002 6,242,016,348
2003 6,318,590,956
2004 6,395,699,509
2005 6,473,044,732
2006 6,551,263,534
2007 6,629,913,759
2008 6,709,049,780
2009 6,788,214,394
2010 6,858,584,755
2011 6,935,999,491
2012 7,013,871,313
2013 7,092,128,094
2014 7,169,968,185

Thanks id advance! Will try to rate the answer ASAP. Please show your process too :)

In: Statistics and Probability

In 2016 the Better Business Bureau settled 80% of complaints they received in the United States....

In 2016 the Better Business Bureau settled 80% of complaints they received in the United States. Suppose you have been hired by the Better Business Bureau to investigate the complaints they received this year involving new car dealers. You plan to select a sample of new car dealer complaints to estimate the proportion of complaints the Better Business Bureau is able to settle. Assume the population proportion of complaints settled for new car dealers is 0.80, the same as the overall proportion of complaints settled in 2016.

(a)

Suppose you select a sample of 180 complaints involving new car dealers. Show the sampling distribution of

p.

A bell-shaped curve is above a horizontal axis labeled p.

  • In order of left to right, the ticks on the horizontal axis are labeled: 0.74, 0.77, 0.8, 0.83, 0.86.
  • The curve enters the viewing window near 0.74 just above the horizontal axis and travels up to the right to a maximum near 0.8.
  • After reaching the maximum, the curve then travels down and to the right until it leaves the viewing window at the same height it entered near 0.86.

A bell-shaped curve is above a horizontal axis labeled p.

  • In order of left to right, the ticks on the horizontal axis are labeled: −0.06, −0.03, 0, 0.03, 0.06.
  • The curve enters the viewing window near −0.06 just above the horizontal axis and travels up to the right to a maximum near 0.
  • After reaching the maximum, the curve then travels down and to the right until it leaves the viewing window at the same height it entered near 0.06.

A bell-shaped curve is above a horizontal axis labeled p.

  • In order of left to right, the ticks on the horizontal axis are labeled: −1.2, −0.2, 0.8, 1.8, 2.8.
  • The curve enters the viewing window near −1.2 just above the horizontal axis and travels up to the right to a maximum near 0.8.
  • After reaching the maximum, the curve then travels down and to the right until it leaves the viewing window at the same height it entered near 2.8.

A bell-shaped curve is above a horizontal axis labeled p.

  • In order of left to right, the ticks on the horizontal axis are labeled: −0.03, 0, 0.03, 0.06, 0.09.
  • The curve enters the viewing window near −0.03 just above the horizontal axis and travels up to the right to a maximum near 0.03.
  • After reaching the maximum, the curve then travels down and to the right until it leaves the viewing window at the same height it entered near 0.09.

(b)

Based upon a sample of 180 complaints, what is the probability that the sample proportion will be within 0.04 of the population proportion? (Round your answer to four decimal places.)

(c)

Suppose you select a sample of 470 complaints involving new car dealers. Show the sampling distribution of

p.

A bell-shaped curve is above a horizontal axis labeled p.

  • In order of left to right, the ticks on the horizontal axis are labeled: −0.04, −0.02, 0, 0.02, 0.04.
  • The curve enters the viewing window near −0.04 just above the horizontal axis and travels up to the right to a maximum near 0.
  • After reaching the maximum, the curve then travels down and to the right until it leaves the viewing window at the same height it entered near 0.04.

A bell-shaped curve is above a horizontal axis labeled p.

  • In order of left to right, the ticks on the horizontal axis are labeled: −1.2, −0.2, 0.8, 1.8, 2.8.
  • The curve enters the viewing window near −1.2 just above the horizontal axis and travels up to the right to a maximum near 0.8.
  • After reaching the maximum, the curve then travels down and to the right until it leaves the viewing window at the same height it entered near 2.8.

A bell-shaped curve is above a horizontal axis labeled p.

  • In order of left to right, the ticks on the horizontal axis are labeled: 0.76, 0.78, 0.8, 0.82, 0.84.
  • The curve enters the viewing window near 0.76 just above the horizontal axis and travels up to the right to a maximum near 0.8.
  • After reaching the maximum, the curve then travels down and to the right until it leaves the viewing window at the same height it entered near 0.84.

A bell-shaped curve is above a horizontal axis labeled p.

  • In order of left to right, the ticks on the horizontal axis are labeled: −0.02, 0, 0.02, 0.04, 0.06.
  • The curve enters the viewing window near −0.02 just above the horizontal axis and travels up to the right to a maximum near 0.02.
  • After reaching the maximum, the curve then travels down and to the right until it leaves the viewing window at the same height it entered near 0.06.

(d)

Based upon the larger sample of 470 complaints, what is the probability that the sample proportion will be within 0.04 of the population proportion? (Round your answer to four decimal places.)

(e)

As measured by the increase in probability, how much do you gain in precision by taking the larger sample in part (d)?

In: Finance