WGU C957 Pre-Assessment (Latest 2023/ 2024 Update) Applied Algebra| Questions and Verified Answers| 100% Correct| Grade A
WGU C957 Pre-Assessment (Latest 2023/ 2024
Update) Applied Algebra| Questions and Verified
Answers| 100% Correct| Grade A
Q: The graph of the function C below represents the number of coal miners in the United States from 1985 2015.C( y) represents the number of coal miners in the United States in the year y. For example, C(1985) showthere were 170,000 coal miners in the United States in 1985.Which interpretation of the function C is accurate?
Answer: C(2000) represents 70,000 coal miners in 2000.
Q: The following table compares the number of employees hired and the number of employees dismissed over
an 11-year period for a certain business. Year# Hired# Dismissed
What can be concluded from this table?
Answer: More employees were hired than dismissed each year.
Q: A company has the following information on last quarter’s sales (month 7 refers to July) :MonthSales (in
thousands of dollars)730383289333 What was the average rate of change over the entire quarter (from July to
September)?
Answer: Sales increased an average of $15,000 per month.
Q: An IT firm generates the following numbers to estimate its revenue in thousands of dollars based on the
number of employees working on a project.
Employees Revenue (in thousands)
10 $12.40
20 $21.99
30 $30.74
40 $36.01
50 $38.43
Which conclusion can be made by examining the average rate of change between consecutive rows?
Answer: The revenue isincreasing atslower and slower rates in relation to the number of employees.
Q: An airplane was cruising at an altitude of 39,000 feet and descended as shown in the table below.
What can be concluded from this table?
Answer: The airplane had a descent rate of 600 ft./min.
Q: The function table below shows a company’s revenue function (R) and expense function (E) for each
month. In the second row, R(1) is the revenue total for January, and E(1) is the expense total for January.
Monthly Revenues and Expenses
Month (m) Revenues R(m) Expenses E(m)1
(Jan.) $2,000 $2,2002
(Feb.) $3,220 $3,9573
(Mar.) $2,579 $2,5044
(Apr.) $4,100 $1,6755
(May) $5,328 $2,1226
(June) $6,745 $1,9907
(July) $5,995 $2,1118
(Aug.) $10,200 $3,1839
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In 5 years, there will be 10 open stores.
A bank begins a marketing campaign to increase its number of customers. Each month, all new customers are put into a drawing. One customer then receives a $50 credit in a checking account.The amount of money given away in the drawing, G, is a function of the number of months, M, the drawing has been going on for. What is the correct function notation to represent the amount of money given away after the drawing has been going on for 5 months?
There were 8 calls 6 hours after opening.
In February, it will make between $3,000 and $5,000.
If the server works h hours, the tips will be $ X.
Both gross and net growth increased.

The OBR forecasts the growth will remain above 1% between 2016 and 2021.


Black Monday occurred on October 19, 1987, and represents the single largest decline of the Dow Jones average in history.The function f represents a seven-month period during which Black Monday occurred. The function value f(1) represents the Dow Jones average in June of 1987. Which function value represents the Dow Jones average during the month when Black Monday occurred?

The largest two-year increase in unemployment was from 1990 to 1992.

The graph of the function C below represents the number of coal miners in the United States from 1985 to 2015.C( y) represents the number of coal miners in the United States in the year y. For example, C(1985) shows there were 170,000 coal miners in the United States in 1985. Which interpretation of the function C is accurate?
C(2000) represents 70,000 coal miners in 2000.

What can be concluded from this table?
More employees were hired than dismissed each year.
A company has the following information on last quarter’s sales (month 7 refers to July):
MonthSales (in thousands of dollars)730383289333
What was the average rate of change over the entire quarter (from July to September)?
Sales increased an average of $15,000 per month.
EmployeesRevenue (in thousands)10$12.4020$21.9930$30.7440$36.0150$38.43
Which conclusion can be made by examining the average rate of change between consecutive rows?
The revenue is increasing at slower and slower rates in relation to the number of employees.
An airplane was cruising at an altitude of 39,000 feet and descended as shown in the table below.
Altitude of Airplane (ft.)Time (min.)39,000033,0001027,0002021,0003015,000409,000503,00060
What can be concluded from this table?
The airplane had a descent rate of 600 ft./min.
The function table below shows a company’s revenue function (R) and expense function (E) for each month. In the second row, R(1) is the revenue total for January, and E(1) is the expense total for January.
Monthly Revenues and Expenses
Month (m)Revenues R(m)Expenses E(m)1 (Jan.)$2,000$2,2002 (Feb.)$3,220$3,9573 (Mar.)$2,579$2,5044 (Apr.)$4,100$1,6755 (May)$5,328$2,1226 (June)$6,745$1,9907 (July)$5,995$2,1118 (Aug.)$10,200$3,1839 (Sept.)$9,455$4,12910 (Oct.)$12,337$92711 (Nov.)$10,234$3,78612 (Dec.)$7,195$2,199
Which conclusion can be made about this function table?
The highest profit occurred during October.
he original value of a company car bought in January of 2006 was $22,800. Below is a function table that tracks the value of the car V( y) as it depreciates.
Depreciation of Company AutomobileYear (y)Value (V(y)) 2006$22,8002007$18,2402008$15,5042009$13,1782010$11,2012011$9,5212012$8,0932013$6,8792014$5,8472015$4,970
V(2007) = $18,240 is the value of the car from January to December of 2007. Which other conclusion can be reached from this table?
V( y) decreases the most from 2006 to 2007.
The truck’s depreciated value after 3 years is $46,000.
If 0 items are produced, the monthly cost is $11,000.00.

A cable company, a satellite dish company, and a streaming service all offer TV viewing plans based on the number of channels, c, on the plan. The price of each plan is given below: Cable: P( c) = 3 c + 60Satellite dish: P( c) = 4 c + 35Streaming service: P( c) = 5 c + 50 Which company’s cost per additional channel is most expensive?
Each month, 11 members join the gym.


A big box store found its number of customers, C, in thousands on Saturday is predicted by the time of day in hours, t. In the graph below, t = 0 corresponds to midnight of the current day and t = 24 corresponds to midnight of the next day. How should the average rate of change from t = 8 to t = 10 be interpreted?
There are, on average, 1,000 more customers per hour.

Profit decreases by $288,000 per 1,000 items produced.




P(–2) represents the population in 1998, which was approximately 276 million people.
L(67) is the amount due in late fees for a payment that is 67 days overdue, which would be $381.90.
The account will increase by $26.72, on average, each year.
A scientist found a sample of carbon-14 and knows the graph below models the exponential decay of carbon-14, where t is time measured in years and y is the amount of carbon-14 left in the sample in grams. What would the average rate of change over the time interval of t = 100 to t = 700 represent, and would that rate be positive or negative?

As the number of toys produced increases, the average cost per toy tends toward $10.

Two medical operations are being compared to determine which is better for patients. Below is a graph of the chance of infection after operation (in percentage) for the first option (shown with a solid curve) and for the second option (shown with a dashed curve). Both curves are shown over time since 1950, in years. As time has gone on, which is the better operation?

A factory with an assembly line can produce more automobiles per week as more employees are working at a given time, limited by the capacity of the assembly line. The model follows the function below, where A is the number of automobiles per week, and w is the number of workers at a given time. How many workers are needed to produce 50 automobiles per week?

When does the cat population reach 110?
A factory with an assembly line can produce more automobiles per week as more employees are working at a given time, limited by the capacity of the assembly line. The model follows the function below, where A is the number of automobiles produced per week, and w is the number of workers at a given time. The instantaneous rate of change at w = 50 is 1. How should this be interpreted?
When the factory has 50 workers, the factory will produce 1 more car for each worker added.

The rabbit population is increasing by 0.002 rabbits per year during this time.
A factory with an assembly line produces automobiles and is limited by the capacity of its assembly line. The model follows the function below, where A is the number of automobiles produced per week, and w is the number of workers at a given time. What happens as additional workers between 10 workers and 40 workers are added?
Adding additional workers increases the number of automobiles produced faster and faster.

The cost of the phone is decreasing faster and faster.

A factory with an assembly line can produce more automobiles per week as more employees are working at a given time, limited by the capacity of the assembly line. The model follows the function below, where A is the number of automobiles per week, and w is the number of workers at a given time. How should the upper horizontal asymptote be interpreted?
The factory can produce a maximum of approximately 95 automobiles per week.



The following graph measures revenue from vending machines at a large business on a typical day. The y-axis shows revenue in dollars, and the x-axis shows time based on the 24-hour clock. Revenue was measured every 15 minutes from 7:00 a.m. (700) to 8:00 p.m. (2000). What indicates that a shift ends at 5:00 p.m. (1700)?
The vending machine revenues spike around 5:00 p.m. to about $55.

The following graph shows the price of the stock of a company x months after December 2014. A program is set to automatically buy this stock on the first day of the month, provided the price is below $20. What month would it have first bought this stock, and would the investment have increased in value the following month?
September 2015; yes, the stock would have increased in value the next month.


A chain of stores started out as 100 stores the first year, then increased by 400 stores the following year, and then increased each year for the next six years. The function below tracks the growth of the chain during the first eight years. Which statement about the average rate of change is correct?

Each point on the following graph represents the revenue returned from a project with a specified marketing budget. The y-axis measures the revenue in thousands of dollars, and the x-axis represents the budget in thousands of dollars. Which budget should new projects have at this company to maximize revenue?
New projects should have a budget of $6,000 since this returned a revenue of $20,000.


In last week’s sales meeting, a supervisor at a company stressed that current sales are increasing, but the graph of the sales is concave down. She seemed to emphasize this repeatedly to encourage the sales team to change the curvature of the sales. What could happen to the company sales if the sales graph keeps the trend of being concave down?
A technology firm in Erie, Pennsylvania, receives a contract to develop a computer program controlling the angle of a solar array on a daily basis. In order to develop the program, the firm first needs to model the hours of sunlight for every day of the year. The graphs below show the amount of hours of daylight for Erie, Pennsylvania, on December 21, March 21, June 21, and September 21. From December to March, the hours of daylight are increasing faster and faster, and from March to June, they are increasing slower and slower. Which graph would be an appropriate model for this firm to use?



A company is trying to develop a computer algorithm to predict whether a customer will make a purchase of $100 or more in an online store based on the customer’s browsing behavior and various characteristics about the customer. As the company collects more customer data, it updates its algorithm to make it more accurate. The graph below shows the algorithm’s error rate for various amounts of customer data. Which conclusion can the company make about the error rate for this algorithm?
The error rate stabilizes and approaches an error rate of 2.5%.

The average cost reduces to about $2 per cover.

A software developer recently launched a new social media app and is concerned about user retention (i.e., users continuing to use the app after initial download). In order to study the retention of users, the company looked at users who shared three or more pictures on the app within the first five days of downloading the app (Group A, which is indicated by the solid line in the graph below) and compared the use of the app by these users in the days following the initial download with the use of the app in the days following the initial download by users who did not share three or more pictures on the app within the first five days after downloading the app (Group B, which is indicated by the dashed line in the graph below). The data in the graph shows the retention rates for these two groups, where t is the number of days since the initial download of the app, and y is the percentage of users who still use the app after t days. Which conclusion can be made from the data in this graph?

Yes, the data is strongly correlated, and it has a roughly constant rate of change.

A business wants to model the relationship between the number of items sold for two similar products. The monthly sales data for 20 months of sales of the two items are shown in the graph below. The company fit its data with a linear model, which has an R-squared value of r 2 = 0.18. What does r 2 imply for the fit of the model?
This model has a weak fit; therefore, predictions should not be made based on this function.

A real estate agent wanted to develop a model for the number of days a rental property sits vacant based on how the rental price compares to the market value. The graph below shows the rental price compared to market value and the number of days the house sat vacant for 15 of the real estate agent’s previous rental properties. The real estate agent fit the data with an exponential function, which has an r 2 value of 0.83. Is this exponential function a good regression model for the data?
Yes, there is a strong correlation, and the data points increase approximately by a constant ratio.

A student created the scatterplot of data on the graph below. The x-axis represents the number of items, and the y-axis represents the total cost of the product. The student then drew in a dotted line of best fit. The student’s calculator produced r 2 = 0.9946991797. How can the value of r 2 be interpreted?
The number of items has a strong correlation to the total cost.

A company has tracked the depreciating value of a company car over a 10-year period. The company performed a regression and modeled the value of the car, V, at year x with the function V( x) = 26,878.23 e –0.21x with r 2 = 0.98. Would it be appropriate to use this model to make a prediction for the value of the car when the car is 12 years old?

A local university collects data related to its increasing enrollment for the past 19 years. The university sees enrollment was increasing quickly but is now leveling off. The university models this with the logistic function with r 2 = 0.96, where t is time in years, and P is enrollment in thousands at time t . The graph of the model is given below. Would it be appropriate for the university to use this model to predict enrollment five years from now (when t = 24)?
Yes, the data are strongly correlated, so this would be considered a somewhat safe extrapolation.

A company examined cost data in an effort to model the relationship between number of items produced, x, and cost, C. The regression equation is C( x) = 0.52 x + 366 with a coefficient of determination of r 2 = 0.92. The company plans to use this function to determine the cost of producing 45 items. Is the company’s plan appropriate?

A company has tracked the relationship between the selling price of an item, x, and the revenue generated by the sales of that item, f. The company performs a polynomial regression on the data and models the data with the function f( x) = –24.34 x 2 + 336.21 x + 53.88 with r 2 = 0.93. The company uses this model to predict that if it charges $12 per item, it will earn a revenue of approximately $583.44. Is this conclusion valid and why?

A company has tracked the relationship between the number of units of an item that sold, x, (measured in thousands) and the total revenue earned from the item in dollars, A. The company decided to perform an exponential regression and found the function A( x) = 223.7 e 0.04x with r 2 = 0.76. The company uses this model to predict that when it sells 180,000 items, its revenue will be approximately $300,000.Is this a valid conclusion and why?

A company has tracked the depreciating value of a company car over an eight-year period. The company performed a linear regression and modeled the value of the car, V, at year x with the function V( x) = –2606.54 x + 24109.37 with r 2 = 0.96. Would it be appropriate to use this model to predict the value of the car when the car is 10 years old?