Sophia who took the Graduate Record Examination (GRE) scored 167 on the Verbal Reasoning section and 161 on the Quantitative Reasoning section. The mean score for Verbal Reasoning section for all test takers was 155 with a standard deviation of 7.06, and the mean score for the Quantitative Reasoning was 151 with a standard deviation of 7.11. Suppose that both distributions are nearly normal.
(a) What is Sophias Z-score on the Verbal Reasoning
section?
On the Quantitative Reasoning section?
(b) Relative to others, which section did she do better on? .
(c) Find her percentile scores for the two exams.
Verbal Reasoning percentile:
Quantitative Reasoning percentile:
(d) What percent of the test takers did better than her on the
Verbal Reasoning section? .
On the Quantitative Reasoning section? .
Find the following:
(e) The score of a student who scored in the 60th percentile on the
Quantitative Reasoning section.
(f) The score of a student who scored worse than 50% of the test
takers in the Verbal Reasoning section.
In: Statistics and Probability
Sophia who took the Graduate Record Examination (GRE) scored 157
on the Verbal Reasoning section and 162 on the Quantitative
Reasoning section. The mean score for Verbal Reasoning section for
all test takers was 150 with a standard deviation of 7.2, and the
mean score for the Quantitative Reasoning was 153 with a standard
deviation of 7.64. Suppose that both distributions are nearly
normal.
(a) What is Sophias Z-score on the Verbal Reasoning section?
On the Quantitative Reasoning section?
(b) Relative to others, which section did she do better on? .
(c) Find her percentile scores for the two exams.
Verbal Reasoning percentile: th
Quantitative Reasoning percentile: th
(d) What percent of the test takers did better than her on the
Verbal Reasoning section? .
On the Quantitative Reasoning section? .
Find the following:
(e) The score of a student who scored in the 75th percentile on the
Quantitative Reasoning section.
(f) The score of a student who scored worse than 85% of the test
takers in the Verbal Reasoning section.
In: Statistics and Probability
Extensions of Demand and Supply Analysis
| product price | Quantitiy Demanded |
| $5 | 1 |
| 4 | 2 |
| 3 | 3 |
| 2 | 4 |
| 1 | 5 |
2- Calculate total-revenue data from the demand schedule in question 2. Graph total revenue below your demand curve. Generalize about the relationship between price elasticity and total revenue.
In: Economics
Exercise 4–Timing Sorting AlgorithmCollect the run times for either selection sort or insertion sort (use random values for an array and sorted values; sorted the same list twice and collect time each time) for the following array sizes: 1000, 2000, and 10000. You should be able to confirm that the runtime is n^2 for unsorted list (i.e., going from 1000 to 2000 should be about 4 times slower and going from 1000 to 10000 should be about 100times slower).
Question 1: Does your sorting algorithm in exercise4run faster for a sorted listthan an unsorted list?Explain why or why not.
Question 2: What are some reasons for doing algorithm analysis and expressing running time in O notation?
In: Computer Science
Answer the following questions:
a) List Zappos’ 10 Core Values.
b) Now, pretend you are the HR manager at Zappos and you are preparing to
interview an applicant for a customer service position at Zappos. The position
requires this person to answer customer questions about its products, over the
phone.
Select 3 core values and write 2 interview questions for each of the 3 core values
(Yes, you will be writing a total of 6 interview questions).
C. Be sure to explain why you are using the interview question and what you hope it
will reveal about the applicant. You are not allowed to use one of the interview
questions presented in the video or in the attached document. Come up with your
own interview questions. Be creative!
In: Operations Management
Your task is to develop quantified Risk models of two Risks of
interest to you. This is an academic
exercise and its purpose is to make you familiar with the process
of quantified Risk modelling and
to show me you understand the theory and the practice.
a) Write up each Risk as a case study that explains the Risk in
detail and describes the proposed
control measures.
b) Estimate/judge the values that could realistically be given to
the various parameters relevant to
modelling Risk and explain your reasoning to me. Don’t spend
inordinate amounts of time
trying to justify any of the values that have to be
estimated/judged in order to complete the task
(eg. does a death cost $3M or is it $3.2M? Is the Exposure 20 times
a year or 18?). However,
ensure that you do have justification for the values you use as I
am not interested in you simply
using a number with no justification.
c) Use your spreadsheet to estimate the position of the Risk line,
using any necessary “reality
checks”. In other words, justify or even make a clear statement of
the inadequacies of what
you have done and the need for further investigation. Estimate the
Risk value.
d) Propose a possible control measure change/improvement and
estimate the associated
implications for productivity, recurrent costs and/or capital
requirements. I am well aware
these may based on judgement unless you have a close knowledge of a
particular case.
e) Provide me with an explanation of the anticipated effect of this
proposed control measure on
each of the parameters that determine Risk and use this to justify
a reduction in the Risk value
estimated before this improved control measure is applied.
f) Use this to estimate the effect of the improved control measure
on one or both (as appropriate)
of recurrent costs and payback period.
In: Civil Engineering
2 page paper describing the following
Provide a description of an organization you are familiar with (possibly a company you have worked for in the past or are currently working for) and describe briefly what services they contribute. Then, select three out of the six questions below
and provide detailed answers, supporting those answers by referencing any sources used. Be sure to use examples from your research to strengthen your argument as needed
·What personal knowledge management tools does this organization utilize?
·What steps has this organization taken in securing their information and knowledge?
·What has this organization done to gain and sustain an advantage over their competitors?
·Describe in detail how this organization manages the components of its IT infrastructure
In what ways does the organization demonstrate successful collaboration?
·Identify at least two types of hardware and two types of software used by this organization.
In: Computer Science
Singing Fish Fine Foods has $1,910,000 for capital investments this year and is considering two potential projects for the funds. Project 1 is updating the store's deli section for additional food service. The estimated after-tax cash flow of this project is $610,000 per year for the next five years. Project 2 is updating the store's wine section. The estimated annual after-tax cash flow for this project is $530,000 for the next six years. If the appropriate discount rate for the deli expansion is 9.7% and the appropriate discount rate for the wine section is 9.1%, use the NPV to determine which project Singing Fish should choose for the store. Adjust the NPV for unequal lives with the equivalent annual annuity. Does the decision change? If the appropriate discount rate for the deli expansion is 9.7%, what is the NPV of the deli expansion? If the appropriate discount rate for the deli expansion is 9.1%, what is the NPV of the deli expansion?
In: Finance
What is an example of the null hypothesis?
People in red are more attractive than those in blue
There is no differences in ratings of attraction
There is a difference in attraction ratings for those who ware the color red and those who ware blue.
Support research hypothesis
In: Statistics and Probability
A jar contains 6 blue and 8 red marbles. What is the probability of drawing two consecutive red marbles if the drawing is done without replacement?
Group of answer choices
32/91
2/7
4/13
101/91
In: Statistics and Probability