Write a creative story to tell about the journey of a jogger from one location in a park to another location. Make up some events and experiences that the jogger goes through on his/her journey. Tell what happens to the jogger throughout the journey (e.g., being chased by a dog or having to slow down for a parade, etc.) As you tell the story, use the terms speed, velocity and acceleration and explain how and why these values change for the jogger as he/she goes through different parts of his/her trip. Your story can be creative and funny or serious as long as you use the terms speed, velocity and acceleration. Make sure that the story conveys the meanings of these terms and the differences between them.
In: Physics
At the Doha Zoo, access to the public is organized as follows:
There are five employees at the entrance who sell entry passes to everyone who is not subscribed and be allowed to enter,
As for subscribers, they only display the membership card on entry. At the end of the day, one of the employees delivers cash to the cashier, the treasurer counts the cash received and places the cash in the designated treasury.
At the end of the week, the cashier deposits the cash in the bank according to the deposit slip. The deposit slip is used in the journal Cash Receipts,
Also, the treasurer is the one who certifies the payment of garden expenses and is the one who pays the expenses.
The park administration discovered the need to improve the internal control system of the cash receipts system
Required:
What are the weaknesses? What are the appropriate procedures to overcome the system's weaknesses?
In: Operations Management
You have to choose one of these industries
In: Economics
Results of a survey revealed that the distribution of the amount of the monthly utility bill of a 3-bedroom house using gas or electric energy had a mean of $97 and a standard deviation of $12.
If the distribution of monthly bills can be considered mound-shaped and symmetric, what percentage of homes will have a monthly bill of more than $85 and less than $109?
If nothing is known about the shape of the distribution of monthly bills, what percentage of homes will have a monthly bill between $61 and $133?
If the distribution of monthly bills can be considered mound-shaped and symmetric, what percentage of homes will have a monthly bill of more than $121?
use Excel
explain how to calculate standard deviation and how you got the percentage?
In: Statistics and Probability
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both Bond Sam and Bond Dave have 7 percent coupons, make semiannual payments, and are priced at par value. Bond Sam has 5 years to maturity, whereas Bond Dave has 18 years to maturity.
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In: Finance
The life expectancy of a brand of light bulbs is normally distributed with a mean of 1500 hours and a standard deviation of 75 hours. A. What is the probability that a bulb will last between 1500 and 1650 hours. The life expectancy of a brand of light bulbs is normally distributed with a mean of 1500 hours and a standard deviation of 75 hours. A. What is the probability that a bulb will last between 1500 and 1650 hours.
B. What percentage of the light bulbs will last between 1485 and
1500 hours.
C. What percentage of the light bulb will last between 1416 and
1677 hours.
D. What percentage of the light bulbs will last between 1563 and
1648 hours.
E. What percentage of the light bulbs will last less than 1410
hours.
In: Statistics and Probability
Best Electronics offers a “no hassle” returns policy. The number of items returned per day follows the normal distribution. The mean number of customer returns is 8.2 per day and the standard deviation is 1.60 per day. Refer to the table in Appendix B.1.
a. In what percentage of the days 6 or fewer customers returning items? (Round z-score computation to 2 decimal places and the final answer to 2 decimal places.)
Percentage %
b. In what percentage of the days between 12 and 14 customers returning items? (Round z-score computation to 2 decimal places and the final answer to 2 decimal places.)
Percentage %
c. Is there any chance of a day with no returns?
(Click to select) No, it is not possible. Yes, but very unlikely. Yes
In: Statistics and Probability
Are America's top chief executive officers (CEOs) really worth
all that money? One way to answer this question is to look at row
B, the annual company percentage increase in revenue, versus row A,
the CEO's annual percentage salary increase in that same company.
Suppose that a random sample of companies yielded the following
data:
| B: Percent for company |
28 |
16 |
25 |
26 |
18 |
20 |
7 |
10 |
| A: Percent for CEO |
23 |
14 |
23 |
18 |
23 |
10 |
4 |
14 |
Do these data indicate that the population mean percentage increase
in corporate revenue (row B) is different from the population mean
percentage increase in CEO salary? Use a 5% level of significance.
Find (or estimate) the P-value.
In: Math
In this problem, assume that the distribution of differences is
approximately normal. Note: For degrees of freedom
d.f. not in the Student's t table, use
the closest d.f. that is smaller. In
some situations, this choice of d.f. may increase
the P-value by a small amount and therefore produce a
slightly more "conservative" answer.
Are America's top chief executive officers (CEOs) really worth all
that money? One way to answer this question is to look at row
B, the annual company percentage increase in revenue,
versus row A, the CEO's annual percentage salary increase
in that same company. Suppose a random sample of companies yielded
the following data:
|
B: Percent increase for company |
30 | 4 | 8 | 18 | 6 | 4 | 21 | 37 |
| A: Percent
increase for CEO |
20 | 30 | 29 | 14 | -4 | 19 | 15 | 30 |
Do these data indicate that the population mean percentage increase in corporate revenue (row B) is different from the population mean percentage increase in CEO salary? Use a 5% level of significance. Solve the problem using the critical region method of testing. (Let d = B − A. Round your answers to three decimal places.)
| test statistic | = | |
| critical value | = ± |
Interpret your conclusion in the context of the application.
Fail to reject the null hypothesis, there is insufficient evidence to claim a difference in population mean percentage increases for corporate revenue and CEO salary.Reject the null hypothesis, there is insufficient evidence to claim a difference in population mean percentage increases for corporate revenue and CEO salary. Reject the null hypothesis, there is sufficient evidence to claim a difference in population mean percentage increases for corporate revenue and CEO salary.Fail to reject the null hypothesis, there is sufficient evidence to claim a difference in population mean percentage increases for corporate revenue and CEO salary.
In: Statistics and Probability
Kim is a 27-year-old woman who recently moved from a small
town in Texas to work in the city of Dallas as a reporter for one
of the major newspapers. She is 5’6” tall and weighs 115 lb. To
keep in shape she likes to jog, which she did regularly in her
hometown. She doesn’t know anyone in Dallas and has been
lonely for her family since arriving. But she has moved into a
small apartment in a quiet neighborhood and hopes to meet
young people soon though her work and church.
On the first Saturday morning after she moved into her new
apartment, Kim decided to get up early and go jogging. It was
still dark out, but Kim was not afraid. She had been jogging
alone in the dark many times in her hometown. She donned her
jogging clothes and headed down the quiet street toward a nearby
park. As she entered the park, an individual came out from a
dense clump of bushes, put a knife to her throat, and ordered her
to the ground. She was raped and beaten unconscious. She
remained in that condition until sunrise when she was found by
another jogger who called emergency services, and Kim was
taken to the nearest emergency department. Upon regaining
consciousness, Kim was hysterical, but a sexual assault nurse
examiner (SANE) was called to the scene, and Kim was assigned
to a quiet area of the hospital, where the post-rape examination
was initiated.
Answer the following questions related to Kim:
1. What are the initial nursing interventions for Kim?
2. What treatments must the nurse ensure that Kim is aware
are available for her?
3. What nursing diagnosis would the nurse expect to focus on
with Kim in follow-up care?
In: Biology