A random sample of 100 customers was chosen in a market between 3:00 and 4:00 PM on a Thursday afternoon. The frequency distribution below shows the distribution for checkout time, in minutes.
Checkout Time
1.0-1.9
2.0-2.9
3.0-3.9
4.0-5.9
6.0-6.9
Frequency
8
22
Missing
Missing
Missing
Cumulative Relative Frequency
Missing
Missing
0.84
0.98
1.00

(a) Complete the frequency table with frequency and cumulative relative frequency. Express the cumulative relative frequency to two decimal places

(b) What percentage of checkout times was less than 3 minutes?

(c) Which of the following checkout time groups does the median of this distribution belong to? 1.0-1.9, 2.0-2.9, 3.0-3.9, 4.0-5.9, 6.0-6.9

A random sample of 100 customers was chosen in a market between 3:00 and 4:00 PM on a Thursday afternoon. The frequency distribution below shows the distribution for checkout time, in minutes.
Checkout Time
1.0-1.9
2.0-2.9
3.0-3.9
4.0-5.9
6.0-6.9
Frequency
8
22
Missing
Missing
Missing
Cumulative Relative Frequency
Missing
Missing
0.84
0.98
1.00

(a) Complete the frequency table with frequency and cumulative relative frequency. Express the cumulative relative frequency to two decimal places

(b) What percentage of checkout times was less than 3 minutes?

(c) Which of the following checkout time groups does the median of this distribution belong to? 1.0-1.9, 2.0-2.9, 3.0-3.9, 4.0-5.9, 6.0-6.9

please work on this assignment

Twenty-five percent of the customers entering a grocery store between 5 P.M. and 7 P.M. use an express checkout. Consider five randomly selected customers, and let x denote the number among the five who use the express checkout.

(a) What is p(3), that is, P(x = 3)? (Round the answer to five decimal places.)
p(3) =

(b) What is P(x ≤ 1)? (Round the answer to five decimal places.)
P(x ≤ 1) =

(c) What is P(2 ≤ x)? (Round the answer to five decimal places. Hint: Make use of your computation in Part (b).)
P(2 ≤ x) =

(d) What is P(x ≠ 3)? (Round the answer to five decimal places.)
P(x ≠ 3) =

For much of the past century, the conflict between Israelis and Palestinians has
been a defining feature of the Middle East. Despite billions of dollars expended to
support, oppose, or seek to resolve it, the conflict has endured for decades, with
periodic violent eruptions, of which the Israel-Gaza confrontation in the summer of
2014 is only the most recent.
This executive summary highlights findings from a study by a team of RAND
researchers that estimates the net costs and benefits over the next ten years of five
alternative trajectories — a two-state solution, coordinated unilateral withdrawal,
uncoordinated unilateral withdrawal, nonviolent resistance, and violent uprising —
compared with the costs and benefits of a continuing impasse that evolves in
accordance with present trends. The analysis focuses on economic costs related to
the conflict, including the economic costs of security. In addition, intangible costs
are briefly examined, and the costs of each scenario to the international community
have been calculated.
The economy of the Palestinian Territory was a viable and thriving one before the
occupation in June 1967. It generated significant production and income that
sustained a growing population of 1 million people and generated a gross domestic
product (GDP) per capita of about $1,349 in 2004 prices, which was sufficient for it
to be considered a lower-middle-income economy at that time. Tragically, it has
become a land on the verge of economic and humanitarian collapse.
In 2014, the GDP growth rate in the Palestinian Territory turned negative, for the
first time since 2006. The Gaza Strip is becoming increasingly unliveable and could
become totally unliveable by 2020. According to the Palestinian Central Bureau of
Statistics, the unemployment rate in Gaza was 45 per cent in 2014, with over 63
per cent of Gaza’s young people unemployed, which is the highest rate in the world.
Female unemployment in the Palestinian Territory was around 40 per cent and
more than 60 per cent in Gaza. Nearly 40 per cent of Palestinians live below the
poverty line. Clean water is a rarity, with at least 90 per cent of Gaza’s water supply
unfit for human consumption. Electricity in Gaza is also sporadic and unreliable,
available only four to six hours a day, and a properly functioning sewage treatment
system no longer exists.
Seven key findings were identified (1): A two-state solution provides by far the best
economic outcomes for both Israelis and Palestinians. Israelis would gain over two
times more than the Palestinians in absolute terms — $123 billion versus $50
billion over ten years. But the Palestinians would gain more proportionately, with
average per capita income increasing by approximately 36 percent over what it
would have been in 2024, versus 5 percent for the average Israeli. A return to
violence would have profoundly negative economic consequences for both Palestinians and Israelis; per capita gross domestic product would fall by 46
percent in the West Bank and Gaza and by 10 percent in Israel by 2024. In most
scenarios, the value of economic opportunities gained or lost by both parties is
much larger than expected changes in direct costs. Unilateral withdrawal by Israel
from the West Bank would impose large economic costs on Israelis unless the
international community shoulders a substantial portion of the costs of relocating
settlers. Intangible factors, such as each party's security and sovereignty
aspirations, are critical considerations in understanding and resolving the impasse.
Taking advantage of the economic opportunities of a two-state solution would
require substantial investments from the public and private sectors of the
international community and from both parties.

9. What was the approximate gross domestic production (in RS.) in year 2004? (1$ =
73.25 INR)
(a) 877078.50 (b) 988142.5 (c) 978650.25 (d) 967892.5
10.The total population of the Palestinian Territory increased by 20% over a decade
from 2004, out of which 75% of the people lived in Gaza. Also, if 60% of Gaza’s
population is considered to be young then the total number of persons who are not
young but are still unemployed are: (Consider all the people who live outside Gaza
as employed)
(a) 65000
(b) 64000
(c) 64800
(d) None of these

Pinworm: In a random sample of 830 adults in the U.S.A., it was found that 74 of those had a pinworm infestation. You want to find the 90% confidence interval for the proportion of all U.S. adults with pinworm.

(a) What is the point estimate for the proportion of all U.S. adults with pinworm? Round your answer to 3 decimal places.


(b) What is the critical value of z (denoted z_α/2) for a 90% confidence interval? Use the value from the table or, if using software, round to 2 decimal places.
z_α/2 =

(c) What is the margin of error (E) for a 90% confidence interval? Round your answer to 3 decimal places.
E =

(d) Construct the 90% confidence interval for the proportion of all U.S. adults with pinworm. Round your answers to 3 decimal places.
< p <

(e) Based on your answer to part (d), are you 90% confident that more than 5% of all U.S. adults have pinworm?

Yes, because 0.05 is above the lower limit of the confidence interval.No, because 0.05 is below the lower limit of the confidence interval.    No, because 0.05 is above the lower limit of the confidence interval.Yes, because 0.05 is below the lower limit of the confidence interval.

(f) In Sludge County, the proportion of adults with pinworm is found to be 0.15. Based on your answer to (d), does Sludge County's pinworm infestation rate appear to be greater than the national average?

No, because 0.15 is above the upper limit of the confidence interval.Yes, because 0.15 is below the upper limit of the confidence interval.    No, because 0.15 is below the upper limit of the confidence interval.Yes, because 0.15 is above the upper limit of the confidence interval.

The quarterly returns for a group of 74 mutual funds with a mean of 1.1​% and a standard deviation of 4.9​% can be modeled by a Normal model. Based on the model ​N(0.011​,0.049​), what are the cutoff values for the ​a) highest 20% of these​ funds? ​b) lowest 40%? ​c) middle 80​%? ​d) highest 60%?

Suppose you are the manager of Speedy Oil Change which claims that it will change the oil in customers’ cars in less than 30 minutes on average. Further suppose that several complaints have been filed from customers stating that their oil change took longer than 30 minutes. Upper-level management at Speedy Oil Change headquarters has requested that you investigate the complaints. To begin your investigation, you randomly audit 36 oil changes performed by Speedy Oil Change and record the time each customer waited for the oil change. The number of minutes to complete each of the 36 oil changes is reported below.

In the questions below, you will test if the mean is significantly less than 30 minutes at a significance level of 0.05. (Please be sure to use correct notation and symbols in all answers.)

1. List the requirements that should be met for this hypothesis test.

2. Write the null and alternative hypothesis.

3. Calculate the test statistic and the P-value (to four decimal places). Label each accordingly.

   [Indicate which calculator program you use.]

4. Would you reject the null hypothesis? Justify your answer using a complete sentence and proper

   grammar.

5. Is the company fulfilling its promise to “change the oil in customers’ cars in less than 30 minutes on

   average?”

_________________________________________________________________________________

Unfortunately, Speedy Oil Change continues to get customer complaints. As the manager, you feel that perhaps more analysis is needed. You know that you are likely to be asked “how much less than 30 minutes is our mean oil change?”

6. Construct a 90% confidence interval (to the nearest tenth). [Indicate which calculator program

   you use.]

7. State the point estimate and calculate the margin of error (to the nearest tenth).

8. Explain to your superiors how to interpret this interval.

9. Using the confidence interval you created, calculate the interval of values that answers the

   question “how much less than 30 minutes is our mean oil change?”

To test for any significant difference in the number of hours between breakdowns for four machines, the following data were obtained.

Find the value of the test statistic. (Round your answer to two decimal places.)___

Use Fisher's LSD procedure to test for the equality of the means for machines 2 and 4. Use a 0.05 level of significance.

Find the value of LSD. (Round your answer to two decimal places.)

LSD = ___

Find the pairwise absolute difference between sample means for machines 2 and 4

x₂ − x₄ =___

The International League of Triple-A minor league baseball consists of 14 teams organized into three divisions: North, South, and West. Suppose the following data show the average attendance for the 14 teams in the International League. Also shown are the teams' records; W denotes the number of games won, L denotes the number of games lost, and PCT is the proportion of games played that were won.

Find the value of the test statistic. (Round your answer to two decimal places.)___

Find the p-value. (Round your answer to three decimal places.)

p-value =___

Use Fisher's LSD procedure to determine where the differences occur. Use α = 0.05.

Find the value of LSD for each pair of divisions. (Round your answers to two decimal places.)

North and SouthLSD=

North and WestLSD=

South and WestLSD=

Find the pairwise absolute difference between sample attendance means for each pair of divisions. (Round your answers to the nearest integer.)

x_N − x_S=

x_N − x_W=

x_S − x_W=

Please describe the financial requirements regarding stock and other finances of the acquisition of YouTube by Google in 2006.

Please answer with a 1000 word typed response. Please cite sources.

A queueing system serves two types of customers. Type 1 customers arrive according to a Poisson process with a mean rate of 5 per hour. Type 2 customers arrive according to a Poisson process at a mean rate of 3 per hour. The system has two servers, both of which serve both types of customer. All service times have exponential distribution with a mean of 10 minutes. Service is provided on a first-come-first-served basis.

a. What is the probability distribution of the time between consecutive arrivals of customers of any type, what is its mean?

b. Assume that when a Type 2 customer arrives, he finds two Type 1 customers being served and no other customers in the system. What is the probability distribution of this Type 2 customer’s waiting time in the queue and its mean?