Hypnosis and the Stroop effect: In Chapter 1, you were given an opportunity to complete the Stroop test, in which color words are printed in the wrong color; for example, the word redmight be printed in the color blue. The conflict that arises when we try to name the color of ink the words are printed in but are distracted when the color word does not match the ink color increases reaction time and decreases accuracy. Several researchers have suggested that the Stroop effect can be decreased by hypnosis. Raz, Fan, and Posner (2005) used brain-imaging techniques to demonstrate that posthypnotic suggestion led highly hypnotizable people to see Stroop words as nonsense words. Imagine that you are working with Raz and colleagues and your assignment is to determine whether reaction times decrease (remember, a decrease is a good thing; it indicates that participants are faster) when highly hypnotizable people receive a posthypnotic suggestion to view the words as nonsensical. You conduct the experiment on six participants, once in each condition, and receive the following data; the first number is reaction time in seconds without the posthypnotic suggestion, and the second number is reaction time with the posthypnotic suggestion: Participant 1: 12.6, 8.5 Participant 2: 13.8, 9.6 Participant 3: 11.6, 10.0 Participant 4: 12.2, 9.2 Participant 5: 12.1, 8.9 Participant 6: 13.0, 10.8 A. What is the independent variable and what are its levels? What is the dependent variable? B. Conduct all six steps of a paired-samples t test as a two-tailed test. Be sure to label all six steps. C. Report the statistics as you would in a journal article. • Need to show all my work .
In: Statistics and Probability
In this exercise, you will create two external style sheet files and a web page. You will experiment with linking the web page to the external style sheets and note how the display of the page is changed.
Create an external style sheet (call it format1.css) to format as follows: document background color of white, document text color of #000099, and document font family of Arial, Helvetica, or sans-serif. Hyperlinks should have a background color of gray (#CCCCCC). Configure the h1 selector to use the Times New Roman font with red text color.
Create an external style sheet (call it format2.css) to format as follows: document background color of yellow and document text color of green. Hyperlinks should have a background color of white. Configure the h1 selector to use the Times New Roman font with white background color and green text color.
Create a web page about your favorite movie that displays the movie name in an <h1> tag, a description of the movie in a paragraph, and an unordered (bulleted) list of the main actors and actresses in the movie. The page should also have a hyperlink to a website about the movie. Place an e-mail link to yourself on the web page, email link. This page should be associated with the format1.css file. Save the page as moviecss1.html. Be sure to test your page in more than one browser. Modify the moviecss1.html page to link to the format2.css external style sheet instead of the format1.css file. Save the page as moviecss2.html and test it in a browser. Notice how different the page looks!
In: Computer Science
Scenario: A 28 year old with a bachelors degree. They have no children and is a new home owner in the state of Maryland. As head of the household must determine a household budgeting plan.
Use Table 1 to report the variables selected for this assignment. Note: The information for the required variable, “Income,” has already been completed and can be used as a guide for completing information on the remaining variables.
| Variable Name In DataSet | Description | Type of variable (Qualitative or quantitative |
| Income | annual househole income in USD | Quantitative |
| Martial Status | ||
| Age | ||
| Family Size | ||
| Housing |
Reason(s) for selecting the variable and expected Outcome(s)
1) Income
2) Martial Status
3) Age
4) Family Size
5) Housing
Data Set Description:
Proposed Data Analysis:
Measures of Central Tendency and Dispersion
Complete Table 2. Numerical Summaries of the Selected Variables and briefly explain why you choose those measurements. Note: The information for the required variable, “Income,” has already been completed and can be used as a guide for completing information on the remaining variables.
Table 2. Numerical Summaries of the Selected Variables
| Variable Name |
Measures of Central Tendency and Dispersion |
Rationale for Why Appropriate |
|
Variable 1: “Income” |
Number of Observations ? Median ? Sample Standard Deviation |
I am using median for two reasons: 1. If there are any outliers or the data is not normally distributed, the median is the best measure of central tendency. 2. The variable is quantitative. I am using sample standard deviation for three reasons: 1. The data is a sample from a larger data set. 2. It is the most commonly used measure of dispersion. 3. The variable is quantitative. |
| Marital Status | ||
| Age | ||
| Family size | ||
| Housing |
Graphs and/or Tables
Complete Table 3. Type of Graphs and/or Table for Selected Variables and briefly explain why you choose those graphs and/or tables. Note: The information for the required variable, “Income,” has already been completed and can be used as a guide for completing information on the remaining variables.
Table 3. Type of Graphs and/or Tables for Selected Variables
|
Variable Name |
Graph and/or Table |
Rationale for why Appropriate? |
|
Variable 1: “Income” |
Graph: I will use the histogram to show the normal distribution of data. |
Histogram is one of the best plot to show the normal distribution of quantitative level data . |
| martial status | ||
| age | ||
| family size | ||
| housing |
The data is a random sample from the US Department of Labor’s 2016 Consumer Expenditure Surveys (CE) and provides information about the composition of households and their annual expenditures (https://www.bls.gov/cex/). It contains information from 30 households, where a survey responder provided the requested information; it is all self-reported information. This dataset contains four socioeconomic variables (whose names start with SE) and four expenditure variables (whose names start with USD).
In: Statistics and Probability
Without a Critical Thinking Assignment this week, this is your opportunity (and a requirement!) to work on your Portfolio Project. Obtain the supporting information from the option you have chosen to complete for your Portfolio Project. You will also use the Schedule E template included under that same option.
Show all calculations within the cells of the template. This means that you must use formulas and links so that your thought process can be examined. Make good use of comments to convey your thought process as well. No hard coding of solutions is allowed. In addition, complete the depreciation schedule showing the list of assets for the rental properties as well as the depreciation rates and amounts. Submit a single MS Excel file for grading.
Case:
| Brian and Sheila Williams were married in October of 2008. They live at 1000 Main Street, Atlanta, GA 33127. Brian is a postal service worker. Sheila is a teacher at Grady High School. Brian’s social security number is 555-11-1111 and Sheila’s social security number is 555-22-2222. They have a dependent daughter Jayla who is 10 years old (Born on May 12th). Jayla’s social security number is 555-33-3333. In 2016, Brian's wages was $45,860 while Sheila's was $43,590. | ||||||||||||||||||||||
| Included or Excluded Items | Reasoning for Including or Excluding and if Including, Indicate amount to include | |||||||||||||||||||||
| Two years ago, the taxpayer loaned a friend $2000. The friend has filed for bankruptcy this year and will not be able to repay | ||||||||||||||||||||||
| Earned $100 interest on county municipal bonds | ||||||||||||||||||||||
| Found a diamond worth $1000 on the ground | ||||||||||||||||||||||
| Received $500 in death benefits fron Brian's father | ||||||||||||||||||||||
| Received $4,000 court settlement. $1,000 was punitive damanges. | ||||||||||||||||||||||
| Brian paid $400/month in child support | ||||||||||||||||||||||
| Received a $1000 gift from his brother | ||||||||||||||||||||||
| Sheila won $100 playing bingo | ||||||||||||||||||||||
| Brian paid $200/month in alimony to his ex-wife | ||||||||||||||||||||||
| Sheila received a $1000 gift from her mother | ||||||||||||||||||||||
| Sheila spent $300 on supplies for her classroom | ||||||||||||||||||||||
| Portfolio Investments | ||||||||||||||||||||||
| Stock | Acquired | Sold | Sales Price | Cost (Basis) | Qualified Dividends | |||||||||||||||||
| Red Stock | 2/1/2016 | 10/5/2016 | $6,000 | $2,500 | $0 | |||||||||||||||||
| White Stock | 6/11/2009 | 10/15/2016 | $5,000 | $4,000 | $100 | |||||||||||||||||
| Blue Stock | 10/1/2005 | 8/3/2016 | $2,000 | $10,000 | $0 | |||||||||||||||||
| Black Stock | 3/6/2016 | 12/15/2016 | $3,000 | $5,000 | $0 | |||||||||||||||||
| Yellow Stock | 4/5/2006 | N/A | N/A | $5,000 | $300 | |||||||||||||||||
| Interest Income Source | Amount | |||||||||||||||||||||
| Money Market Account | $200 | |||||||||||||||||||||
| Savings Account | $25 | |||||||||||||||||||||
| State Municipal Bonds | $35 | |||||||||||||||||||||
| Rental Property | ||||||||||||||||||||||
| They own and rent two pieces of residential real estate in Miami, FL. These properties were acquired with cash (so there are no mortgages on the homes). They both have real estate broker licenses in Georgia and Florida. They dedicate enough hours (through their business) to qualify as a “real estate professional” with regard to these properties. | ||||||||||||||||||||||
| Property 1 | ||||||||||||||||||||||
| The first property is located at 17750 NW 17th Ave, Miami, FL. They collect $1,000 monthly in rent. The property was purchased June 30, 2016 for $150,000. The tax records show that the value of the land is $30,000 and the value of the home was $90,000 when purchased. They actively participate in the management of the real property. | ||||||||||||||||||||||
| The property has the following expenditures: | ||||||||||||||||||||||
| Property tax | $7,000/yr | |||||||||||||||||||||
| Repairs | $ 900/yr | |||||||||||||||||||||
| Insurance | $1,200/yr | |||||||||||||||||||||
| Washing Machine | $300 | (purchased 6/2/2015) | ||||||||||||||||||||
| Refrigerator | $700 | (purchased 7/1/2016) | ||||||||||||||||||||
| Furniture | $2,000 | (purchased 4/1/2014) | ||||||||||||||||||||
| Property 2 | ||||||||||||||||||||||
| The second property is located at 5610 NW 11th Ave, Miami, FL. They collect $1,500 monthly in rent. The property was purchased on June 12, 2016 for $100,000. The tax records show that the value of the land is $20,000 and the value of the home was $80,000 when purchased. They actively participate in the management of the real property. | ||||||||||||||||||||||
| The property has the following expenditures: | ||||||||||||||||||||||
| Property tax | $6,200/yr | |||||||||||||||||||||
| Repairs | $3,000/yr | |||||||||||||||||||||
| Insurance | $1,200/yr | |||||||||||||||||||||
| Legal fees | $ 500/yr | |||||||||||||||||||||
| Advertising Expense | $ 500/yr | |||||||||||||||||||||
Templet:
|
SCHEDULE E (Form 1040) Department of the Treasury Internal Revenue Service (99) |
Supplemental
Income and Loss (From rental real estate, royalties, partnerships, S corporations, estates, trusts, REMICs, etc.) ? Attach to Form 1040, 1040NR, or Form 1041. ? Information about Schedule E and its separate instructions is at www.irs.gov/schedulee. |
OMB No. 1545-0074 | ||||||||||||||||
| 2016 Attachment Sequence No. 13 |
||||||||||||||||||
| Name(s) shown on return | Your social security number | |||||||||||||||||
| Part I | Income or Loss From Rental Real Estate and Royalties Note. If you are in the business of renting personal property, use | |||||||||||||||||
| Schedule C or C-EZ (see instructions). If you are an individual, report farm rental income or loss from Form 4835 on page 2, line 40. | ||||||||||||||||||
| A Did you make any payments in 2016 that would require you to file Form(s) 1099? (see instructions) | Yes | No | ||||||||||||||||
| B If “Yes,” did you or will you file required Forms 1099? | Yes | No | ||||||||||||||||
| 1a | Physical address of each property (street, city, state, ZIP code) | |||||||||||||||||
| A | ||||||||||||||||||
| B | ||||||||||||||||||
| C | ||||||||||||||||||
| 1b | Type of Property (from list below) |
2 For each rental real estate property listed above, report the number of fair rental and | Fair Rental Days |
Personal Use Days |
QJV | |||||||||||||
| A | 7 | only if you meet the requirements to file as a qualified joint venture. See instructions. | A | 365 | 0 | |||||||||||||
| B | 7 | B | 365 | 0 | ||||||||||||||
| C | C | |||||||||||||||||
| personal use days. Check the QJV box | ||||||||||||||||||
| Type of Property: | ||||||||||||||||||
| 1 Single Family Residence | ||||||||||||||||||
| 2 Multi-Family Residence | ||||||||||||||||||
| 3 Vacation/Short-Term Rental | ||||||||||||||||||
| 4 Commercial | ||||||||||||||||||
| 5 Land | ||||||||||||||||||
| 6 Royalties | ||||||||||||||||||
| 7 Self-Rental | ||||||||||||||||||
| 8 Other (describe) | ||||||||||||||||||
| Income: | Properties: | A | B | C | ||||||||||||||
| 3 Rents received . . . . . . . . . . . . . | 3 | 12000 | 18000 | |||||||||||||||
| 4 Royalties received . . . . . . . . . . . . | 4 | 0 | 0 | |||||||||||||||
|
Expenses: 5 Advertising . . . . . . . . . . . . . . 6 Auto and travel (see instructions) . . . . . . . 7 Cleaning and maintenance . . . . . . . . . 8 Commissions. . . . . . . . . . . . . . 9 Insurance . . . . . . . . . . . . . . . 10 Legal and other professional fees . . . . . . . 11 Management fees . . . . . . . . . . . . 12 Mortgage interest paid to banks, etc. (see instructions) 13 Other interest. . . . . . . . . . . . . . 14 Repairs. . . . . . . . . . . . . . . . 15 Supplies . . . . . . . . . . . . . . . 16 Taxes . . . . . . . . . . . . . . . . 17 Utilities . . . . . . . . . . . . . . . . 18 Depreciation expense or depletion . . . . . . . 19 Other (list) ? 20 Total expenses. Add lines 5 through 19 . . . . . 21 Subtract line 20 from line 3 (rents) and/or 4 (royalties). If result is a (loss), see instructions to find out if you must file Form 6198 . . . . . . . . . . . . . 22 Deductible rental real estate loss after limitation, if any, on Form 8582 (see instructions) . . . . . . . |
5 | 0 | 500 | |||||||||||||||
| 6 | 0 | 0 | ||||||||||||||||
| 7 | 0 | 0 | ||||||||||||||||
| 8 | 0 | 0 | ||||||||||||||||
| 9 | 1200 | 1200 | ||||||||||||||||
| 10 | 0 | 500 | ||||||||||||||||
| 11 | 0 | 0 | ||||||||||||||||
| 12 | 0 | 0 | ||||||||||||||||
| 13 | 0 | 0 | ||||||||||||||||
| 14 | 900 | 3000 | ||||||||||||||||
| 15 | 0 | 0 | ||||||||||||||||
| 16 | 7000 | 6200 | ||||||||||||||||
| 17 | 0 | 0 | ||||||||||||||||
| 18 | 3873 | 2909 | ||||||||||||||||
| 19 | ||||||||||||||||||
| 20 | 12973 | 13859 | ||||||||||||||||
| 21 | -973 | 4141 | ||||||||||||||||
| 22 | ( | ) | ( | ) | ( | ) | ||||||||||||
| 23a Total of all amounts reported on line 3 for all rental properties . . . . b Total of all amounts reported on line 4 for all royalty properties . . . . c Total of all amounts reported on line 12 for all properties . . . . . . d Total of all amounts reported on line 18 for all properties . . . . . . e Total of all amounts reported on line 20 for all properties . . . . . . | 23a | 30000 | ||||||||||||||||
| 23b | 0 | |||||||||||||||||
| 23c | 0 | |||||||||||||||||
| 23d | 6782 | |||||||||||||||||
| 23e | 26832 | |||||||||||||||||
|
24 Income. Add positive amounts shown on
line 21. Do not include any losses .
. . . .
. . 25 Losses. Add royalty losses from line 21 and rental real estate losses from line 22. Enter total losses here 26 Total rental real estate and royalty income or (loss). Combine lines 24 and 25. Enter the result here. If Parts II, III, IV, and line 40 on page 2 do not apply to you, also enter this amount on Form 1040, line 17, or Form 1040NR, line 18. Otherwise, include this amount in the total on line 41 on page 2 . . . . |
24 | 4141 | ||||||||||||||||
| 25 | (973 | ) | ||||||||||||||||
| 26 | 3168 | |||||||||||||||||
| For Paperwork Reduction Act Notice, see the separate instructions. Cat. No. 11344L Schedule E (Form 1040) 2016 | ||||||||||||||||||
In: Accounting
Solutions Plus is an industrial chemicals company that produces specialized cleaning fluids and solvents for a wide variety of applications. Solutions Plus just received an invitation to submit a bid to supply Great North American railroad with a cleaning fluid for locomo- tives. Great North American needs the cleaning fluid at 11 locations (railway stations); it provided the following information to Solutions Plus regarding the number of gallons of cleaning fluid required at each location (see Table 6.8). Solutions Plus can produce the cleaning fluid at its Cincinnati plant for $1.20 per gal- lon. Even though the Cincinnati location is its only plant, Solutions Plus has negotiated
TABLe 6.8 GALLONS OF CLEANING FLUID REQUIRED AT EACH LOCATION
|
Location |
Gallons Required |
Location |
Gallons Required |
|
Santa Ana |
22,418 |
Glendale |
33,689 |
|
El Paso |
6,800 |
Jacksonville |
68,486 |
|
Pendleton |
80,290 |
Little Rock |
148,586 |
|
Houston |
100,447 |
Bridgeport |
111,475 |
|
Kansas City |
24,570 |
Sacramento |
112,000 |
|
Los Angeles |
64,761 |
|
Table 6.9 |
Freight Cost ($ Per Gallon) |
||
| Cincinnati | Oakland | ||
| Santa Ana | 0 | 0.22 | |
| El Paso | 0.84 | 0.74 | |
| Pendleton | 0.83 | 0.49 | |
| Houston | 0.45 | 0 | |
| Kansas City | 0.36 | 0 | |
| Los Angeles | 0 | 0.22 | |
| Glendale | 0 | 0.22 | |
| Jacksonville | 0.34 | 0 | |
| Little Rock | 0.34 | 0 | |
| Bridgetport | 0.34 | 0 | |
| Sacramento | 0 | 0.15 | |
with an industrial chemicals company located in Oakland, California, to produce and ship up to 500,000 gallons of the locomotive cleaning fluid to selected Solutions Plus customer locations. The Oakland company will charge Solutions Plus $1.65 per gallon to produce the cleaning fluid, but Solutions Plus thinks that the lower shipping costs from Oakland to some customer locations may offset the added cost to produce the product. The president of Solutions Plus, Charlie Weaver, contacted several trucking companies to negotiate shipping rates between the two production facilities (Cincinnati and Oakland) and the locations where the railroad locomotives are cleaned. Table 6.9 shows the quotes received in terms of dollars per gallon. The “—” entries in Table 6.9 identify shipping routes that will not be considered because of the large distances involved. These quotes for shipping rates are guaranteed for one year. To submit a bid to the railroad company, Solutions Plus must determine the price per gallon it will charge. Solutions Plus usually sells its cleaning fluids for 15% more than its cost to produce and deliver the product. For this big contract, however, Fred Roedel, the director of marketing, suggested that maybe the company should consider a smaller profit margin. In addition, to ensure that if Solutions Plus wins the bid, it will have adequate capacity to satisfy existing orders as well as accept orders for other new business, the management team decided to limit the number of gallons of the locomotive cleaning fluid produced in the Cincinnati plant to 500,000 gallons at most.
3. If Solutions Plus wants to use its standard 15% markup, how much should it bid?
In: Finance
In: Accounting
A company paid dividends of $3.20 per share in 2009, and just announced that it will pay $9.49 in 2016. Estimate the compound annual growth rate of the dividends. The compound annual growth rate of the dividends is ___%.
In: Finance
Select 3-5 financial markets or economic metrics. Compare and contrast financial markets metrics of 2008, 2012, and 2016 - has the US economy sufficiently recovered from the financial crisis?
In: Finance
Which is better, lowering or raising taxes? Explain and use example on how your choice is accurate.
http://money.cnn.com/2016/10/17/pf/taxes/trump-tax-plan/index.html
In: Economics
Select TWO companies listed in the construction sector of the Main Market of Bursa Malaysia
Compute the relevant ratios for the analysis of the companies’ capital structure for the years 2015, 2016, 2017, 2018 and 2019
In: Finance