True or false: In order to calculate MACRS depreciation, the business needs to know the asset's original cost, the depreciation period, and which depreciation method (i.e. 200% declining balance) is used. No other information is required.

For a sample of 50 customers of last year's customers, the expected number of customers requiring a recall is equals to the 7.5 customers.

The expected value or say mean of a binomial distribution is determined by multiplying the number of trials (n) by the probability of successes (p), that is E(x) = n × p. We have a LaRusso Auto Group of vehicles. Total sales of cars in last year

= 5,000

Number of defective cars in sold cars

= 750

For a random sample of last year's customers, sample size, n= 50

We have to determine the expected number of customers requiring a recall.

Now, the probability of defective cars and customers make a factory recall for dealer correction, p = [tex]\frac{750}{5000} [/tex] = 0.15

So, the sales of cars in Store follows the binomial distribution with parameters n, p. Using expected value or number formula, E(x) = n×p

= 50 × 0.15 = 7.5

Hence, required value is 7.5 customers.

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The largest country in Europe by population is Russia. With a population of over 144 million people, Russia holds almost twice as many inhabitants as the second-largest country in Europe, Germany.

The reason why Russia has the largest population in Europe is mainly due to its vast geographical area, which includes diverse ethnic groups and natural resources, thus supporting a larger population. Additionally, historical factors such as migration, urbanization, and economic growth have also contributed to Russia's high population numbers.

One of the main reasons for Russia's large population is its size. As the largest country in the world, Russia covers almost 1/8th of the world's landmass, providing ample room for its citizens to reside. Additionally, Russia's population growth has been influenced by various factors throughout history, including immigration, wars, and government policies. Despite declining birth rates in recent years, Russia's population remains the largest in Europe.

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The correlation coefficient is approx 0.57, with a positive direction; the slope is 0.41.it seems that the correlation coefficient is approximately 0.57, with a slope of 0.41, indicating a moderately strong positive linear relationship.

To analyze the relationship between age and bone density loss, follow these steps:

1. Open the Excel file containing the data.
2. Create a scatter plot by selecting the data for age (x variable) and bone density loss (y variable).
3. Insert a scatter plot chart from the "Insert" tab in Excel.
4. Add a trendline to the scatter plot by right-clicking on any data point, selecting "Add Trendline," and choosing "Linear."
5. Display the equation and R-squared value on the chart by checking the "Display Equation on chart" and "Display R-squared value on chart" options in the trendline settings.

Based on the information provided in the options, it seems that the correlation coefficient is approximately 0.57, with a slope of 0.41, indicating a moderately strong positive linear relationship. This corresponds to option A:

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The approximate area of the trapezoid is determined as  13.95 unit².

The approximate area of the trapezoid is calculated as follows;

Area = ¹/₂(b₁ + b₂)h

Where;

The y-coordinates of the points on the curve at x=3/2 and x=4 is calculated as follows;

y(3/2) = - (3/2)²/2 + 3/2 + 5

y(3/2) = -9/8 + 3/2 + 5

y(3/2) = 5.375

y(4) = -4²/2 + 4 + 5

y(4) = -8 + 9

y(4) = 1

h = 5.375 - 1 = 4.375

The approximate area of the trapezoid is calculated as;

Area = ¹/₂(5.375 + 1) x 4.375

Area = 13.95 unit²

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To calculate the effective annual cost of not taking the discount and paying on day 40, we need to determine the cost of financing the purchase over 40 days.

First, we can calculate the cost of not taking the discount:

Discount = 3%

Days to Pay = 40

Effective Interest Rate = (Discount % / (100% - Discount %)) x (365 / (Days to Pay - Discount Period))

Effective Interest Rate = (3% / (100% - 3%)) x (365 / (40 - 20))

Effective Interest Rate = 0.03109 or 3.109%

This means that if Wyatt Oil does not take the discount and pays on day 40, they will effectively be paying an annual interest rate of 3.109% to finance the purchase.

Therefore, the closest answer to the effective annual cost is 3.109%, which is option B: 18%.

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The area of sector AOB with radius of the circle 4cm and angle 60° is equal to 8.4 square centimeters ( approximately ).

Radius of the circle = 4cm

Angle = 60degrees

The area of a sector can be calculated using the formula,

A = (θ/360)πr²

where θ is the central angle of the sector in degrees,

r is the radius of the circle,

and π is the constant pi approximately equal to 3.14.

Substitute the given values, we get,

⇒ A = (60/360)π(4 cm)²

⇒ A = (1/6)π(16 cm²)

⇒ A ≈ 8.3733 cm²

⇒ A ≈ 8.4 cm²

Rounding to the nearest tenth, we get,

A ≈ 8.4 cm²

Therefore, the area of sector AOB is approximately 8.4 square centimeters.

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The above question is incomplete, the complete question is:

If radius r = 4cm,  and  angle = 60degrees find the area of sector AOB to the nearest tenth.

O 18. 8 cm²

O 31. 4 cm²

O 15. 7 cm²

O 8. 4 cm²

Answer:

[tex] log(x + 7) > log(3x) [/tex]

[tex]x + 7 > 3x[/tex]

[tex]7 > 2x[/tex]

[tex]0 < x < 3.5[/tex]

{x | x > 0 and x < 3.5}

To calculate the standard deviation of the fares, we need to use the formula for the standard deviation of a linear transformation:

[tex]Standard Deviation (Fares) = $2.00 \times Standard Deviation (Distance) = $2.00 \times 2 = $4.00[/tex]

The shape of the distribution of the fares is not affected by the linear transformation.

The average and standard deviation of the fares for the month in dollars, The formula for the total fare for a given distance:

Fare = [tex]$2.50 + $2.00 \times distance[/tex]

Using the mean distance of 6.5 miles, we can calculate the average fare:

Average Fare

=[tex]$2.50 + $2.00 \times 6.5[/tex]

= [tex]$15.50[/tex]

The standard deviation of the fares for the month is $4.00.

The shape of the distribution of the fares is not affected by the linear transformation.

Since the original distribution of distances is approximately normal, the distribution of fares will also be approximately normal, with a mean of $15.50 and a standard deviation of $4.00.

The distances are independent and identically distributed, and that the taxi driver charged the same fare for each trip regardless of other factors such as traffic or time of day.

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The volume of this rectangular prism is equal to 114 3/4 cubic inches..

In Mathematics and Geometry, the volume of a rectangular prism can be calculated by using the following formula:

Volume of a rectangular prism = L × W × H

Where:

By substituting the given dimensions (parameters) into the formula for the volume of a rectangular prism, we have the following;

Volume of rectangular prism = 8 1/2 × 3 ×  4 1/2

Volume of rectangular prism = 17/2 × 3 ×  9/2

Volume of rectangular prism = 114 3/4 cubic inches.

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We can match the tape diagrams to the descriptive texts as follows:

1. Kevin spends $13 at a fair. He bought 3 tickets to go on rides and he paid a $4 fee to enter the fair.

2. Knox has 13 cups of soda. He pours equal amounts for four friends and has 3 cups left for himself.

3. Nancy spends 4 hours training for a triathlon. She spends three hours swimming and then bikes 13 miles at a constant pace.

To match the diagrams to the text, we can first begin by checking the figures described and equating them to the corresponding boxes. For instance, in the first diagram, there are 3 boxes with the x sign which indicate the three tickets that Kevin purchased.

The extra $4 entrance fee is indicated by the 4 in the last box. So, this method is how one can match the diagrams to their descriptions effectively.

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The critical value z* for a 98% confidence level is 2.33.

A critical value is a value used as a cut-off to indicate the beginning of a zone where the test statistic from a hypothesis test is unlikely to fall.

To find the critical value z* for a 98% confidence level, we need to find the z-value that corresponds to an area of 0.98 in the standard normal distribution.

Using a standard normal table or a calculator, we can find the z-value that corresponds to an area of 0.98:

z* = 2.33

Therefore, the critical value z* for a 98% confidence level is 2.33.

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If f is defined recursively by f(0) = −1, f(1) = 2, and f(n + 1) = f(n) + 3f(n − 1) for n = 1,2,3,4,5 then f(2)=-1, f(3)=5, f(4)=2, f(5)=17

f(0) = -1

f(1) = 2

need to find  f(2), f(3), f(4), and f(5)

f(2) =f(1+1)

we have  f(n + 1) = f(n) +  3f(n − 1)

therefore f(2)= f(1) + 3 * f(0)

but we have f(1)= 2  and f(0)=1 (given)

therefore required f(2)=2+ 3 * (-1)

                                = 2-3    

                            f(2)=-1   ----> equation (1)

need to find  f(3)

f(3)=f((2+1)

here n=2

by def we have  f(n + 1) = f(n) +  3f(n − 1)

f(3)=f(2)+3f(2-1)

   =f(2)+3f(1)

but f(2)=-1 from the above calculated and f(1)=2 given

therefore f(3)=-1+3(2)

                =-1+6

         f(3)  =5        ------------------------>(2)

need to find f(4)

f(4)=f(3+1)

there n=3

therefore by def

f(4)=f(3)+3f(3-1)

     =f(3) +3f(2)

substituing the values of f(3) from  equation (2) and f(2) from  equation 1

f(4)=5+3(-1)

       =5-3

    f(4)   =2-------------------------------------------(3)

need to find f(5)

f(5)=f(4+1)

by def

f(n + 1) = f(n) +  3f(n − 1)

therefore f(5)=f(4)+3f(4-1)

                 =f(4)+3f(3)

Substitute the values from equations (3) and (2) we get

    f(5)=2+3(5)

           =2+15

         f(5)  =17

Therefore, If f is defined recursively by f(0) = −1, f(1) = 2, and f(n + 1) = f(n) + 3f(n − 1) for n = 1,2,3,4,5 then f(2)=-1, f(3)=5, f(4)=2, f(5)=17

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Full question:

Find f(2), f(3), f(4), and f(5) if f is defined recursively by f(0) = −1, f(1) = 2, and f(n + 1) = f(n) + 3f(n − 1) for n = 1,2,3,4,5

The variation of the predicted population mean from the sample mean as per the given data is equal to for sample 1 =6, for sample 2 = 13, for sample 3 = 1.

For sample 1, 2, 3,

Predicted mean are 34 , 15 , and 29.

Actual mean are 28, 28, 28

To compute the variation of each predicted population mean from the sample means.

Required to calculate the difference between the predicted mean and the actual mean for each sample.

And then take the absolute value of each difference.

The formula for this is written as,

|Predicted Mean - Actual Mean|

Using the values from the table, we get,

For Sample 1,

|34 - 28| = 6

For Sample 2,

|15 - 28| = 13

For Sample 3,

|29 - 28| = 1

Therefore, the variation of the predicted population mean from the sample mean is 6 for Sample 1, 13 for Sample 2, and 1 for Sample 3.

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Answer: Sample 1: 6   Sample 2: -13  Sample 3: 1

Step-by-step explanation:

As x approaches 0, (5x⁴+8x²)/(3x⁴-16x²) is -1/2.

What is L'Hopital's rule?

L'Hopital's rule which states that if the limit of a function f(x)/g(x) as x approaches a is of the form 0/0 or ∞/∞, then the limit is equal to the limit of the derivative of f(x) divided by the derivative of g(x) as x approaches a.

Here given expression is (5x⁴+8x²)/(3x⁴-16x²)

Here we want to find limit of the function (5x⁴+8x²)/(3x⁴-16x²) as x approaches 0.

Applying L'Hopital's rule,

(20x³+16x)/(12x³-32x)

Now, as x approaches 0, we can evaluate the limit by plugging in x=0 in the above expression. However, plugging in x=0 results in a denominator of 0, which is undefined. This suggests that we should simplify the expression further.

We can factor out x from the numerator and denominator to get:

(5x²+8)/(3x²-16)

Now, plugging in x=0 gives us:

(5(0)²+8)/(3(0)²-16) = 8/-16 = -1/2

So, as x approaches 0, (5x⁴+8x²)/(3x⁴-16x²) approaches -1/2.

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We can draw from this study that we can make inferences based on the results of this study for the population of all tennis balls slated for use in the match.

Based on the information provided, the tennis court official conducts an experiment where a random sample of 50 tennis balls is selected and subjected to different treatments to inspect wear and tear. From this study, we can draw the following conclusion:

A: We can make inferences based on the results of this study for the population of all tennis balls slated for use in the match.

This is because the tennis court official selected a random sample of tennis balls and subjected them to different conditions, allowing us to make inferences about how the entire population of tennis balls might be affected under similar conditions.

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The answer  is that the quadratic function is the one that models the situation.

The function that models the situation is a quadratic function in the form of ax² + bx + c.

In this scenario, the engineer is designing a flashlight with a parabolic mirror. A parabolic mirror has a shape that can be represented by a quadratic function. Quadratic functions are typically in the form of f(x) = ax² + bx + c, where a, b, and c are constants.

The explanation for this is that a parabolic mirror reflects light in a way that the reflected rays converge at the focus, which is the vertex of the parabola. This means that the distance between the reflector and the light source should be the same as the distance between the reflector and the focus. The shape of the parabolic mirror is defined by a quadratic function, which is y = ax²

The variable y represents the height of the mirror at a given point, x represents the distance from the vertex, and a is a constant that determines the steepness of the curve. Therefore, the engineer can use this equation to design the parabolic mirror that will maximize the output of the flashlight.
.

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The prediction for the number of passwords in which the first character is a number is given as follows:

139 passwords.

A probability is calculated as the division of the desired number of outcomes by the total number of outcomes in the context of a problem/experiment.

The passwords have the first character chosen as follows:

Hence the probability of a number is given as follows:

p = 10/(10 + 26)

p = 10/36

p = 5/18.

Out of 500 passwords, the expected number is then given as follows:

E(X) = 500 x 5/18

E(X) = 139 passwords.

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The probabilities of the given events for all four children are girls is 0.0625, two girls and two boys is 0.375, the youngest child is a girl is 0.5 and the oldest child is a boy is 0.5

What is probability?

Probability is a measure of the likelihood or chance of an event occurring. It is a number between 0 and 1, where 0 represents an impossible event and 1 represents a certain event.

Since the probability of giving birth to a boy or a girl is 0.5, we can use the binomial probability formula to calculate the probabilities of the given events:

1) Probability of all four children being girls:

The probability of having a girl for each birth is 0.5, so the probability of having all four children as girls is (0.5)⁴ = 0.0625 or 6.25%.

2) Probability of having two girls and two boys:

The number of ways to have two girls and two boys in a family of four children is the number of combinations of 4 children taken 2 at a time, which is 6. The probability of having two girls and two boys in any of these combinations is (0.5)⁴ = 0.0625 or 6.25%. Therefore, the probability of having two girls and two boys is 6 * 0.0625 = 0.375 or 37.5%.

3) Probability of the youngest child being a girl:

The probability of having a girl for any birth is 0.5, so the probability of the youngest child being a girl is 0.5.

4) Probability of the oldest child being a boy:

Since there are 2 possibilities for the gender of the oldest child (boy or girl), the probability of the oldest child being a boy is 0.5.

Therefore, the probabilities of the given events are:

All four children are girls: 0.0625 or 6.25%

Two girls and two boys: 0.375 or 37.5%

The youngest child is a girl: 0.5 or 50%

The oldest child is a boy: 0.5 or 50%

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The correct matches for the probabilities are:

The probabilities are calculated based on the result of the spin.

The results of the spin;

A, A

A, B

A, C

A, D

B, A

B, B

B, C

B. D

C, B

C, C

C, D

D, B

D, C

D, D

The probabilities are as follows:

Spinner landing on at least one A is 7/16 since there are 7 out of 16b options having an A.

Spinner landing on C and D in any order 1/8 since there are 2 such occurrences out of 16.

Spinner landing on two Bs is 1/16 since there is 1 such occurrence out of 16.

Spinner landing on C on the second spin 1/4 since there are 4 such occurrences out of 16.

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NASA would need a sample size of at least 1499 people.

To determine the sample size required for estimating the fraction of people who black out at g forces greater than 6, we can use the following formula:

[tex]n=\frac{Z^2\times p\times (1-p)}{E^2}[/tex]

n = sample size

Z = z-score

p = estimated population proportion from the earlier study (p = 0.46)

(1 - p) = proportion of the population that does not black out at g forces greater than 6

E = desired margin of error (E = 0.03)

n = ((2.33)² × 0.46 × (1-0.46))/(0.03)²

n = 1498.3764

Rounding up to the next integer, we get a required sample size of n = 1499.

Therefore, NASA would need a sample size of at least 1499 people to estimate the fraction of people who black out at g forces greater than 6, with a 98% confidence level and a margin of error of at most 0.03.

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Answer:

a) multiply

b) 16

Step-by-step explanation:

a) To convert a smaller unit of measurement into a larger unit, multiply because more of a smaller unit is required to cover up a larger measurement.

b) We know that there are 16 ounces in a pound, which is the unit rate.

The assumption for linear regression analysis that is violated when the dependent variable is binary is the linearity of observed and predicted values. Binary variables only take on two values (0 or 1), and thus cannot be plotted on a linear regression line. Therefore, linear regression analysis is not appropriate for binary variables. Logistic regression is a more appropriate analysis method for binary variables.

Hi! If the dependent variable is binary and linear regression analysis is used, then the assumption for linear regression analysis that is violated is the "normality of error." This is because binary variables, which take only two values (e.g., 0 and 1), do not follow a continuous normal distribution, and thus, the errors in prediction are not likely to be normally distributed. Linear regression is designed for continuous dependent variables, so it's not ideal for analyzing binary outcomes.

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Original statement: Any valid argument has a true conclusion. Negation: There exists a valid argument with a false conclusion.

To write a negation for a statement, we use the word “not” or its equivalent to express the opposite of the original statement. For example, the negation of “All dogs are mammals” is “Not all dogs are mammals” or “Some dogs are not mammals”. Here are the negations for the given statements:

a. The negation of “Any valid argument has a true conclusion” is “Not any valid argument has a true conclusion” or “Some valid arguments do not have a true conclusion”.

b. The negation of “Every real number is positive, negative, or zero” is “Not every real number is positive, negative, or zero” or “There exists a real number that is not positive, negative, or zero”.

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The correct option is b) 7.888. The number of people in the museum is at a maximum at time t ≈ 7.888 hours using Newton-Raphson method.

To find the time t when the number of people in the museum is at a maximum for 1 < t < 11, we need to find the maximum value of the net rate of people entering the museum, which is the difference between the rates of people entering and leaving the museum.

Given the functions f'(t) = 380([tex]1.02^t[/tex])(t – 4) and g'(t) = 240 + 240 sin t, let's define a new function h(t) representing the net rate of people entering the museum:

h(t) = f'(t) - g'(t)

Now, we need to find the critical points of h(t) to locate the maximum value. To do this, we will find the derivative of h(t) and set it equal to 0.

h'(t) = f''(t) - g''(t)

To find the second derivatives, we differentiate f'(t) and g'(t) with respect to t:

f''(t) = 380([tex]1.02^t[/tex])(1 - 4t + [tex]t^2[/tex])
g''(t) = 240 cos t

Now, we find h'(t):

h'(t) = 380(1.02^t)(1 - 4t + [tex]t^2[/tex]) - 240 cos t

Set h'(t) = 0 and solve for t within the interval 1 < t < 11:

380()(1 - 4t + [tex]t^2[/tex]) - 240 cos t = 0

This equation is transcendental and is best solved using a numerical method such as the Newton-Raphson method. Using a calculator or software, we find the approximate value of t as:

t ≈ 7.888

Therefore, the correct option is b) 7.888, the number of people in the museum is at a maximum at time t ≈ 7.888 hours (Option B).

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The value of the sample proportion of people from Vermont who exercised for at least 30 minutes a day 3 days a week is 0.653, which is equivalent to 65.3%.

It is important to note that this value is based on a random sample of respondents and may not necessarily represent the true proportion of the entire population of Vermont who exercise regularly.

To find the sample proportion of people from Vermont who exercised for at least 30 minutes a day, 3 days a week, follow these steps:

1. Convert the given percentage (65.3%) to a decimal by dividing by 100: 65.3 / 100 = 0.653
2. Multiply the decimal by the number of participants in the random sample (100 respondents): 0.653 * 100 = 65.3
3. Round the result to the nearest whole number to find the number of participants who exercised: 65.3 ≈ 65
4. Divide the number of participants who exercised (65) by the total number of participants in the random sample (100): 65 / 100 = 0.65

This means that out of the 100 participants sampled from Vermont, 65.3 of them answered "yes" to the question of whether they had exercised for more than 30 minutes a day for three days out of the week.

The value of the sample proportion of people from Vermont who exercised for at least 30 minutes a day, 3 days a week is 0.65 or 65%.

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Answer:

<1 = 120

<2 = 32

Sorry for bad handwriting

Answer:

19

Step-by-step explanation:

The measure of an inscribed angle is half of the measure of its intercepted arc.

6x + 17 = (1/2)(262)

6x + 17 = 131

6x = 114

x = 19

The initial value for the equation is 198. The base, denoted by b, for the equation is 1.27. Therefore, the type of change represented is exponential growth because the value of y is increasing at a constant rate as the value of x increases.

a.The initial value for the equation is "a", which in this case is 198. The base, denoted by "b", for the equation is 1.27. Therefore, the type of change represented is exponential growth because the base

(b) is greater than 1, indicating a continuous increase in the value of y as the exponent "n" increases.

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Koda who is making birdhouses for a park needs 16 trapezoids for 8 birdhouses, 12 rectangles for 3 birdhouses, and 8 triangles when she has 4 squares,

Koda is making birdhouses for a park. For one birdhouse she required 2 trapezoids, 1 square 2 triangles and 4 rectangles.

For the 8 birdhouses, the number of trapezoids she need is,

Trapezoids=2 x 8

Trapezoids=16

For the 3 birdhouses, the number of rectangle she need is,

Rectangle =4 x 3

Rectangle=12

The number of birdhouses when she uses 4 square,

Bird house=4 x 1

Bird house=4

Thus, the number of triangles for 4 birdhouses is,

Triangle=2 x 4

Triangle=8

Hence, Koda who is making birdhouses for a park needs 16 trapezoids for 8 birdhouses, 12 rectangles for 3 birdhouses, and 8 triangles when she has 4 squares,

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Answer:

2) Negative one-third

Step-by-step explanation:

In questions such as these, always best to draw the number line for easier visualization

Attached is the number line representing the situation described

The number line goes from -1 to 1 with 0 in the middle of (-1, 1) segment

Since there are 3 equal spaces between the numbers each "space" or the smallest segment is 1/3 units long. In other words each mark is separated from the next mark by a distance of 1/3

The point A is 1 mark to the left of 0 ; this places point A at the - 1/3 mark

Therefore the correct answer is

2) Negative one-third