EBK BUSINESS MATH
11th Edition
ISBN: 8220103633802
Author: NOBLE
Publisher: RENT PEARS
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Chapter 4, Problem 13ES
To determine
To calculate the balance at the beginning of the statement period for Tree Top Landscape Services, given the transaction details on the check register,
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2. Jacob is going to college. He has a part-time job with take-home pay of $575 every
two weeks. He has received a scholarship for $5500 for the year. Determine Jacob's
total monthly income.
1. Pira's expenses are $850 a month for rent and utilities, $52 a month for TV and Internet
package, $90 a week for food, $110 a month for a bus pass, $25 a week for entertainment, and
$85 every two weeks for miscellaneous expenses.
a)
Convert each expense to a monthly amount and represent each monthly amount as a
percentage.
b)
Create a circle graph that shows the breakdown of the monthly expenses.
c) Pira has an income of $1600/biweekly and is deciding whether a weeklong vacation to
Florida would be within her budget. The cost of the trip is approximately $2000 per week.
Would you recommend for her to take the one weeklong vacation? Explain.
4. Mason works at a part-time job earning $985 every two weeks.
Mason's expenses are $750 a month for rent and utilities, $75 a month for her cell
phone, $350 a month for food, $35 a week for entertainment, $310 a month for her car
loan payment, and $65 every two weeks for miscellaneous expenses.
How long will it take Mason to save $2000 for a vacation? Round your answer to the
nearest month.
Chapter 4 Solutions
EBK BUSINESS MATH
Ch. 4.1 - Prob. 1-1SCCh. 4.1 - Prob. 1-2SCCh. 4.1 - Prob. 1-3SCCh. 4.1 - Prob. 1-4SCCh. 4.1 - Prob. 1-5SCCh. 4.1 - Prob. 2-1SCCh. 4.1 - Prob. 2-2SCCh. 4.1 - Prob. 2-3SCCh. 4.1 - Prob. 2-4SCCh. 4.1 - Prob. 1SE
Ch. 4.1 - Prob. 2SECh. 4.1 - Prob. 3SECh. 4.1 - Prob. 4SECh. 4.1 - Prob. 5SECh. 4.1 - Prob. 6SECh. 4.1 - Prob. 7SECh. 4.1 - Prob. 8SECh. 4.1 - Prob. 9SECh. 4.1 - Prob. 10SECh. 4.1 - Prob. 11SECh. 4.1 - Prob. 12SECh. 4.2 - Prob. 1-1SCCh. 4.2 - Prob. 1-2SCCh. 4.2 - Prob. 1-3SCCh. 4.2 - Prob. 1-4SCCh. 4.2 - Prob. 1-5SCCh. 4.2 - Prob. 1-6SCCh. 4.2 - Prob. 1-7SCCh. 4.2 - Prob. 1-8SCCh. 4.2 - Prob. 1-10SCCh. 4.2 - Prob. 1SECh. 4.2 - Prob. 2SECh. 4.2 - Prob. 3SECh. 4.2 - Prob. 4SECh. 4.2 - Prob. 5SECh. 4 - Prob. 1ESCh. 4 - Prob. 2ESCh. 4 - Prob. 3ESCh. 4 - Prob. 4ESCh. 4 - Prob. 5ESCh. 4 - Prob. 6ESCh. 4 - Prob. 7ESCh. 4 - Prob. 8ESCh. 4 - Prob. 9ESCh. 4 - Prob. 10ESCh. 4 - Prob. 11ESCh. 4 - Prob. 12ESCh. 4 - Prob. 13ESCh. 4 - Prob. 14ESCh. 4 - Prob. 15ESCh. 4 - Prob. 16ESCh. 4 - Prob. 17ESCh. 4 - Prob. 18ESCh. 4 - Prob. 19ESCh. 4 - Prob. 20ESCh. 4 - Prob. 21ESCh. 4 - Prob. 22ESCh. 4 - Prob. 23ESCh. 4 - Prob. 24ESCh. 4 - Prob. 25ESCh. 4 - Prob. 26ESCh. 4 - Prob. 27ESCh. 4 - Prob. 28ESCh. 4 - Prob. 29ESCh. 4 - Prob. 30ESCh. 4 - Prob. 1PTCh. 4 - Prob. 2PTCh. 4 - Prob. 3PTCh. 4 - Prob. 4PTCh. 4 - Prob. 5PTCh. 4 - Prob. 6PTCh. 4 - Prob. 7PTCh. 4 - Prob. 8PTCh. 4 - Prob. 9PTCh. 4 - Prob. 10PTCh. 4 - Prob. 11PTCh. 4 - Prob. 1CTCh. 4 - Prob. 2CTCh. 4 - Prob. 3CTCh. 4 - Prob. 4CTCh. 4 - Prob. 5CTCh. 4 - Prob. 6CTCh. 4 - Prob. 7CTCh. 4 - Prob. 8CTCh. 4 - Prob. 9CTCh. 4 - Prob. 10CTCh. 4 - Prob. 1CPCh. 4 - Prob. 2CPCh. 4 - Prob. 1CS1Ch. 4 - Prob. 2CS1Ch. 4 - Prob. 3CS1Ch. 4 - Prob. 4CS1Ch. 4 - Prob. 1CS2Ch. 4 - Prob. 2CS2Ch. 4 - Prob. 3CS2Ch. 4 - Prob. 4CS2
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- 3. Abdul works full-time in a bookstore. He earns a take-home salary of $580 a week. His expenses are $850 a month for rent and utilities, $65 a month for his cell phone, $95 a week for groceries, and $75 every two weeks for miscellaneous expenses. How much can Abdul save each month?arrow_forwardThe class will include a data exercise where students will be introduced to publicly available data sources. Students will gain experience in manipulating data from the web and applying it to understanding the economic and demographic conditions of regions in the U.S. Regions and topics of focus will be determined (by the student with instructor approval) prior to April. What data exercise can I do to fulfill this requirement? Please explain.arrow_forwardConsider the ceocomp dataset of compensation information for the CEO’s of 100 U.S. companies. We wish to fit aregression model to assess the relationship between CEO compensation in thousands of dollars (includes salary andbonus, but not stock gains) and the following variates:AGE: The CEOs age, in yearsEDUCATN: The CEO’s education level (1 = no college degree; 2 = college/undergrad. degree; 3 = grad. degree)BACKGRD: Background type(1= banking/financial; 2 = sales/marketing; 3 = technical; 4 = legal; 5 = other)TENURE: Number of years employed by the firmEXPER: Number of years as the firm CEOSALES: Sales revenues, in millions of dollarsVAL: Market value of the CEO's stock, in natural logarithm unitsPCNTOWN: Percentage of firm's market value owned by the CEOPROF: Profits of the firm, before taxes, in millions of dollars1) Create a scatterplot matrix for this dataset. Briefly comment on the observed relationships between compensationand the other variates.Note that companies with negative…arrow_forward
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