Colleen is the marketing manager for Virtually Viral, an entertainment company that collects viral videos from around the Internet and aggregates them on their website. Whether it’s videos of cats or unusual marriage proposals, Virtually Viral collects them all. Almost all of Virtually Viral’s revenue comes from clicks on advertisements surrounding the videos. To maximize profits, Colleen tries to match ad content to video content. For example, for the ‘Wacky Weddings’ section of the website, most advertisements link to wedding planners and invitation/paper product suppliers. As part of this effort, Colleen contracted a web design firm to put together a new look for the website, with the goal of improving the amount of time visitors spend on the website. They produced four different versions, each arranging the videos and advertisements differently. Colleen is unsure which of these designs would result in the greatest amount of time spent on the site. To solve this problem, Colleen designs an experiment. She sets up a system to randomly assign visitors to the website to experience one of the four designs, recording the number of seconds that they spend on the site. She wants to compare the groups with each other and see if the different designs result in different lengths of time viewing the website. Whichever results in the longest visits will become the new design for the site in general. She knows from Chapter 7 that she has a research question and that this calls for some type of hypothesis testing. In Chapter 9, she learned that treating groups differently and comparing them means that she has independent data. But the independent-samples t-test only compares two groups with each other and she has four. Should she run multiple independent-samples t-tests? Or is there a better way?

Also complete an ANOVA and post-hoc test.

Answer the questions and interpret the data.

Colleen is the marketing manager for Virtually Viral, an entertainment company that collects viral videos from around the Internet and aggregates them on their website. Whether it’s videos of cats or unusual marriage proposals, Virtually Viral collects them all. Almost all of Virtually Viral’s revenue comes from clicks on advertisements surrounding the videos. To maximize profits, Colleen tries to match ad content to video content. For example, for the ‘Wacky Weddings’ section of the website, most advertisements link to wedding planners and invitation/paper product suppliers. As part of this effort, Colleen contracted a web design firm to put together a new look for the website, with the goal of improving the amount of time visitors spend on the website. They produced four different versions, each arranging the videos and advertisements differently. Colleen is unsure which of these designs would result in the greatest amount of time spent on the site. To solve this problem, Colleen designs an experiment. She sets up a system to randomly assign visitors to the website to experience one of the four designs, recording the number of seconds that they spend on the site. She wants to compare the groups with each other and see if the different designs result in different lengths of time viewing the website. Whichever results in the longest visits will become the new design for the site in general. She knows from Chapter 7 that she has a research question and that this calls for some type of hypothesis testing. In Chapter 9, she learned that treating groups differently and comparing them means that she has independent data. But the independent-samples t-test only compares two groups with each other and she has four. Should she run multiple independent-samples t-tests? Or is there a better way?

Colleens problem can be solved with an ANOVA and post-hoc test.  

DATA

Given the following price and dividend information:

A. calculate the sample variance for the returns. (Round to 4 decimals)

B. calculate the arithmetic average return. (Round to 4 decimals)

C.calculate the geometric average return. (Round to 4 decimals)

D.calculate the sample standard deviation for the returns. (Round to 4 decimals)

6. (a) The quantum number n describes the of an atomic orbital and the quantum number l describes its _____

(b) When n = 4, the possible values of l are:

(c) What type of orbital corresponds to l = 2?

(d) What type of atomic orbital has 0 nodal planes?

(e) The maximum number of orbitals that may be associated with the quantum number set n = 3, l = 2, and ml = 1 is

(f) How many subshells are in the n = 4 shell?

(g) How many orbitals are in the n = 4 shell?

(h) How many orbitals are in the l = 2 subshell?

(i) The maximum number of orbitals that may be associated with the quantum numbers n = 3 and l = 2 is

We will denote the last digit of your ASU ID as L (if L = 0, then use L = 4)

Consider three processes of the form CPU

P1:

[CPU burst of length L;  I/O burst of length 4*L; CPU burst of length L]

P2:

[CPU of  2*L; I/O of 4*L; CPU of L; I/O of 2*L; CPU of 3*L]

P3:

[CPU of  L; I/O of L; CPU of 2*L; I/O of L; CPU of L]

1.) What is the average CPU utilization for FIFO scheduling for the scenario?

2.) What is the average CPU utilization for SJF scheduling with shortest remaining CPU burst?

The following table provides the project annual budget, total number of projects, and total number of people working on the projects for City of Killingcovid annually:

For A to F, use the data between Yr 2006 and Yr 2015 to calculate the following:

A. The mean of the Number of People Working on the Project.
B. The median of the Budget.
C. The range of Budget.
D. The variance (3 significant figures) of Number of Projects.
E. The standard deviation (nearest integer) of Number of People Working on the Project.
F. The 20% trimmed mean of Number of Projects.

G. Draw a dot plot comparing the Number of People Working on the Project from Yr 1997 to Yr 2006 and those from Yr 2009 to Yr 2018.

H. Using the data for Annual Budget from Yr 2001 to Yr 2017, draw a double stem leaf plot, then calculate the relative frequency.

Consider the following time series data.

Using the naive method (most recent value) as the forecast for the next week, compute the following measures of forecast accuracy.

a. Mean absolute error (to 1 decimal).

b.Mean squared error (to 1 decimal).

c. Mean absolute percentage error (to 2 decimals).

d. What is the forecast for week 7 (to 2 decimals)?

Consider the following time series data.

Using the naive method (most recent value) as the forecast for the next week, compute the following measures of forecast accuracy.

a. Mean absolute error (to 1 decimal).

_______

b.Mean squared error (to 1 decimal).

_____

c. Mean absolute percentage error (to 2 decimals).

_____%

d. What is the forecast for week 7 (to 2 decimals)?

______

There are 3 True or False questions in an exam, if a candidate knows the answer she/he answers it correctly, otherwise, a guess is made and the probability of getting it right is 1/2. An examiner assumes that every candidate knows no answer, 1 answer, 2 answers, 3 answers with equal probabilities, a candidate answered two of the three questions correctly. What is the probability that this candidate knew the answer to only one of them?

(A) 1/11.

(B) 2/11.

(C) 3/11.

(D) 4/11.

Calculate the ​(a​) net present value​ (NPV), ​(b​) profitability index​ (PI), and ​(c​) internal rate of return​ (IRR) for Projects 1 and 2​ (cash flows shown​ below), assuming a required return of 14 %. Year 0 project 1 -440 project 2 -420 Year 1 P1 190 P2 150 Year 2 P1 120 P2 150 Year 3 P1 140 P2 190 Year 4 P1 320 P2 330