One-Sample T-Test
Problem 1:
Reading level: A school librarian purchases a novel for her library. The publisher claims that the book is
written at a fifth-grade reading level, but the librarian suspects that the reading level is lower than that.
The librarian selects a random sample of 40 pages and uses a standard readability test to assess the
reading level of each page. The mean reading level of these pages is 4.8 with a standard deviation of 0.8.
Do these data give convincing evidence at the a=0.05 significance level that the average reading level of
this novel is less than 5?

The surface area of the composite solid is 162 unit²

The area occupied by a three-dimensional object by its outer surface is called the surface area.

The composite solid has 6 faces . The area of each face is calculated as follows;

Face 1

area = 5×7 = 35 units²

face 2

area = 1/2bh + l×b

= 1/2 ×3×4 + 3×4

= 6+12 = 18units²

face 3 = face 2

area = 18units²

face 4

area = 3× 7 = 21units²

face 5

area = 4×7

= 28units²

face 6

area = 3×7 + 3×7

= 21+21 = 42units²

Therefore total surface area = 42+28+21+18+18+35

= 162 units²

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The results of the experiment might support the hypothesis, or might not.

The correct statement is that the results of the experiment might support the hypothesis, or might not. It is important to design a well-controlled experiment that tests the hypothesis in a rigorous and systematic way. The goal is not to prove the hypothesis correct, but rather to gather evidence that either supports or contradicts the hypothesis. It is also important to conduct the experiment in a suitable environment with appropriate equipment and procedures to ensure accurate and reliable results.
Your question focuses on understanding the relationship between a hypothesis, an experiment, and the possible outcomes.
An experiment is designed to test a hypothesis, which is an educated guess or prediction about a phenomenon. When conducting an experiment, the results might either support the hypothesis or contradict it, leading to further investigation and refinement of the hypothesis. A well-designed experiment should be able to provide valuable data and insights, regardless of the outcome.

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The statement that is true is:

"The results of the experiment might support the hypothesis or might not."

A scientist designs an experiment to test a hypothesis.

In such a scenario, it is important to note that the outcome of the experiment cannot be predicted with certainty.

The scientific method involves formulating a hypothesis, designing an experiment to test the hypothesis,

collecting and analyzing data and drawing conclusions.

The hypothesis is an educated guess that can be tested through experimentation.

It is important to remember that a hypothesis can never be proven to be 100% correct, only supported or refuted by the evidence obtained through experimentation.
It is not accurate to say that if the experimenter does the test correctly, the hypothesis will be proven correct.

This is because there are many variables that can affect the outcome of the experiment, and it is impossible to control all of them.

Additionally, a good experiment is not necessarily one that produces the most data.

A good experiment is one that is well-designed, carefully controlled, and yields reliable results.

The use of lab equipment is also not a requirement for conducting experiments.

While it is often necessary for certain types of experiments, many experiments can be conducted with simple materials and equipment.
Ultimately, the results of the experiment might support the hypothesis, or might not. If the results support the hypothesis, it can be considered a step towards validating the hypothesis.

The results do not support the hypothesis, it does not necessarily mean that the hypothesis is incorrect.

It could mean that the experiment was flawed, or that the hypothesis needs to be revised based on the new information obtained from the experiment.
Designing and conducting experiments is an important part of the scientific method.

Guarantee that an experiment will yield the desired results, a well-designed and carefully controlled experiment can provide valuable information that can help scientists understand the natural world.

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One measure we use to determine the F-statistics is the ratio of the variability within and across groups when we are doing the one way-ANOVA test.

We are interested in discovering whether there are significant differences between the means of the populations when doing a one-way ANOVA test on more than two independent normally distributed populations. A test statistic used to reach this conclusion is the F-statistic.

The ratio of the variability of the between group and within group is the a tool that we use to find the F-statistics.

F is equal to (SSB/k-1) / (SSW/N-k)

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Formula:

98% Confidence Interval = (Mean - (2*Standard Deviation/√n), Mean + (2*Standard Deviation/√n))

98% Confidence Interval = ($775 - (2*$110/√45), $775 + (2*$110/√45))

98% Confidence Interval = ($735.56, $814.44)

In a right triangle, tangent of one of non-right angles is equal to  ratio of the length of opposite side to the length of  adjacent side. The tangent of angle M is 5/3.

In this case, we want to find  tangent of angle M.

Let's label the sides of  triangle opposite, adjacent, and hypotenuse, as follows:

Opposite: side LM, which is opposite to angle M.

Adjacent: side MN, which is adjacent to angle M.

Hypotenuse: side LN, which is the longest side and opposite to the right angle N.

Using the Pythagorean theorem, we can find the length of the hypotenuse LN:

[tex]LN^2 = LM^2 + MN^2 \\LN^2 = 10^2 + 6^2\\LN^2 = 100 + 36\\LN^2 = 136LN = sqrt(136) = 2*sqrt(34)[/tex]

Now, we can use the tangent formula:

tan(M) = opposite/adjacent = LM/MN

tan(M) = 10/6 = 5/3

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according to the question the probabilities of event can be P(s)= 14/2525, P(C) = 6/2525, P(S and C) = 5/2525, P(S or C) = 3/505

Probability theory, a subfield of mathematics, quantifies the likelihood that an event is going to happen or that a statement is true. The probability for an event is a number between 0 and 1, where 0 roughly denotes how probable the event is to occur and 1 denotes certainty. A probability is a numerical representation of the likelihood that a certain event will occur. In addition to numbers from 0 to 1, probability values can also be stated as percentages between 0% and 100%. the fraction of an entire set of equally likely possibilities that result in a certain occurrence out of all possible outcomes, expressed as a ratio.

given,

To solve the problem, we can use the formula:

P(A and B) equals P(A) plus P(B) minus P(A or B)

where P(A) is the probability of event A, P(B) is the probability of event B, and P(A or B) is the probability of either A or B occurring (including the case where both A and B occur).

P(S): the probability that a student writes steak is 14/2525.

P(C): the probability that a student writes chicken is 6/2525.

The likelihood that a student would write steak plus chicken equals 5/2525.A or B. P(A and B) Equals P(A) +P(B), which -P(P(S or C))

P(S or C): the probability that a student writes steak or chicken can be calculated as:

P(S or C) = P(S) + P(C) - P(S and C)

= (14/2525) + (6/2525) - (5/2525)

= 15/2525

= 3/505

Therefore, the answers to the questions are:

P(S) = 14/2525

P(C) = 6/2525

P(S and C) = 5/2525

P(S or C) = 3/505

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There have been numerous cases of athletes being accused of using performance-enhancing drugs, and the numbers may vary depending on the sport, country, and time period in question.

Additionally, determining how many athletes were using or not using performance-enhancing drugs would require specific information on individual cases.

Regarding the percentage of athletes falsely accused of using performance-enhancing drugs, it is difficult to determine an accurate figure without examining each case in detail. False accusations may occur due to various reasons, such as flawed testing procedures or contaminated supplements, and the percentage of false accusations may vary depending on the situation.

If you have a specific case or sport in mind, I can try to provide you with more information on that topic.

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[tex]\sin(X )=\cfrac{\stackrel{opposite}{36}}{\underset{hypotenuse}{45}}\implies \sin(X )=\cfrac{4}{5} \\\\\\ \cos(X )=\cfrac{\stackrel{adjacent}{27}}{\underset{hypotenuse}{45}}\implies \cos(X)=\cfrac{3}{5} \\\\\\ \tan(X )=\cfrac{\stackrel{opposite}{36}}{\underset{adjacent}{27}}\implies \tan(X)=\cfrac{4}{3}[/tex]

The independent events are the ones in the third option, spinning the spiner twice.

Two events are called independent if the outcome of the first event does not affect the outcome of the second event.

From the given options, the only two that are independent are spining the spinner two times.

For example in the case of the candy, when you pull one candy and eat it, you can't pull it again, so the outcomes for the second event are modified.

In the case of the spinner that does not happen, that is why the events are independent.

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The constant of proportionality is $8.40

The constant of proportionality is a value that relates two quantities that are proportional to each other. It is represented by the letter k and is found by dividing the dependent variable by the independent variable. In this case, the constant of proportionality is $8.40 for the given data set.

According to the given information:

To find the constant of proportionality, we can use any two data points from the table and plug them into the equation y = kx.

Let's use the first and second data points: (0.75, $6.30) and (2.5, $21.00).

We can set up the equation as:

$6.30 = k(0.75)

Solving for k, we get:

k = $6.30/0.75 = $8.40

Now, we can check our work by using another data point. Let's use the third data point: (4, $33.60).

Plugging in the values, we get:

$33.60 = k(4)

k = $33.60/4 = $8.40

Since we get the same value for k, we can be confident that our answer is correct.

Therefore, the constant of proportionality is $8.40.

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The rate at which the gray whale swims is 6.7 kilometers per hour.

What is the equation that relates the distance, rate, and time?

The equation that relates the distance, rate, and time is distance = rate × time

This equation can be used to calculate any one of the three variables if the other two are known.

For example, if you know the rate at which an object is moving and the time it has been moving, you can use this equation to find the distance it has traveled. Or, if you know the distance traveled and the time it took to travel that distance, you can use this equation to find the average rate of travel.

We are given that the distance traveled by the gray whale is 161 kilometers in 24 hours. Therefore, we can use the equation to find the rate at which the gray whale swims,

rate = distance / time = 161 km / 24 h ≈ 6.7 kph

Rounding to the nearest tenth, the rate at which the gray whale swims is approximately 6.7 kilometers per hour.

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Answer:

22√5

Step-by-step explanation:

√20=√4x5 = √4 x √5 = 2√5

√45 = √9 x 5 = √9 x √5 = 3√5

√80 = √16 x 5 = √16 x √5 = 4√5

4√20 = 6 √45 - √80 = 4(2√5) + 6(3√5)- 4√5

8√5 + 18√5 - 4√5 = 22√5

So its 22√5

Answer:

[tex]22 \sqrt{5} [/tex]

Step-by-step explanation:

the explaination is avaliable in the picture i sent you

and please give me branliest

Use STDDEV.s function to find standard deviation and AVERAGE function to find mean years of maturity.

To answer this question, you would need to open the provided Excel file and input the data into a spreadsheet. Once the data is inputted, you can use Excel's built-in functions to calculate the mean and standard deviation.

To calculate the mean years to maturity, you would use the AVERAGE function and select the column of years to maturity data. The result will give you the average years to maturity for the sample of 40 corporate bonds.

To calculate the standard deviation, you would use the STDEV.S function and select the column of yield data. This will give you the sample standard deviation for the yield data.

Overall, your spreadsheet should have columns for years to maturity and yield, with 40 rows of data for each bond. The mean years to maturity and sample standard deviation for yield can then be calculated using Excel functions.

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The sample mean years to maturity for corporate bonds:

Type the following formula and press Enter:
=AVERAGE(A1 : A40).

The sample standard deviation:

Press Enter: = STDEV.S(A1 : A40).

To calculate the sample mean and sample standard deviation for years to maturity of the 40 corporate bonds, follow these steps:
Open the Excel online file provided.
Assuming that the years to maturity data is in column A, click on an empty cell (let's say B1) to find the sample mean.

Type the following formula and press Enter:
=AVERAGE(A1 : A40).

This will calculate the mean of the years to maturity for the 40 corporate bonds.
To find the sample standard deviation, click on another empty cell (let's say B2) and type the following formula and press Enter:
=STDEV.S(A1 : A40)
This will calculate the sample standard deviation of the years to maturity for the 40 corporate bonds.
Now, you should have both the sample mean years to maturity and the sample standard deviation in cells B1 and B2 respectively.

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The given 3D model is a trapezoidal pyramid.

A pyramid is a 3D polyhedron having three or more triangle-shaped faces that meet above the base and a polygonal base. The point above the base is referred to as the apex, while the three sides are referred to as faces. The base and apex are joined to form a pyramid. To distinguish them from the base, the triangular sides are also also referred to as lateral faces. In a pyramid, the apex, which creates the triangle face, is connected to each base edge.

Hence, the given 3D model is a trapezoidal pyramid.

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If a hypothesis test is performed and fails to reject the null hypothesis, it would mean that there is not enough evidence to support the claim that less than 15% of the marketing organization's employees are paid minimum wage.

Therefore, it would not be concluded that the claim is true. The null hypothesis assumes that the claim is false or that the percentage of employees paid minimum wage is not significantly different from 15%.

The failure to reject the null hypothesis means that the evidence does not contradict the null hypothesis, but it does not necessarily prove it to be true.

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The radius of the circle with a circumference of 15 ft is approximately

7.5 ft.

We have,

The circumference of a circle is the distance around its boundary. It is calculated by multiplying the diameter of the circle by π (pi), which is approximately 3.14159.

The formula for the circumference of a circle is:

Circumference = 2 π radius

To find the radius of a circle, we can rearrange the formula and solve for the radius:

Radius = Circumference / (2 π)

In this case, the given circumference is 15 ft.

Plugging this value into the formula:

Radius = 15 ft / (2 π)

Simplifying further:

Radius ≈ 7.5 ft

Therefore,

The radius of the circle with a circumference of 15 ft is approximately

7.5 ft.

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Answer:

The area of Jack's rhombus is four times the area of Soshi's rhombus.

Step-by-step explanation:

First, calculate the area of Soshi's rhombus. Use the formula for the area of a rhombus:

[tex]A = bh=\\A=(12)(10)=\\A=120[/tex]

Now, we have the Soshi's rhombus is 120 [tex]in^2[/tex].

Jack's rhombus' base and height are double those of Soshi's; multiply each value by two.

[tex]12*2=24\\\\10*2=20[/tex]

Now, substitute the values in the formula for the area of a rhombus:

[tex]A = bh=\\A=(24)(20)=\\A=480[/tex]

Notice that 480 is 4 times 120.

This is because area is a two-dimensional measure (measured in units squared, like [tex]in^2[/tex]) while length is a one-dimensional measure (measured in regular units, like cm and in), The one-dimensional measures of Jack's rhombus are double those of Soshi's, and to translate this to the two-dimensional measure of area, square 2 (2 squared is 2 times 2).

2 squared is 4, so:

the area of Jack's rhombus is four times that of Soshi's.

If Taylor is proving the Pythagorean theorem.  Taylor can use the diagram to prove the Pythagorean theorem by: A. Taylor could set the area of a square with side length a + b equal to the sum of the areas of the 4 triangles and the square with side length c.

To prove the Pythagorean theorem, we want to show that in a right triangle with legs a and b and hypotenuse c, the square of the hypotenuse c^2 is equal to the sum of the squares of the legs a^2 + b^2.

From the given diagram, we can see that we have a square with side length a+b, which is divided into 4 congruent right triangles and a smaller square with side length c. Each of the 4 triangles has legs a and b, which are also the legs of the right triangle we want to prove the theorem for. The smaller square with side length c has an area equal to c^2, which is the square of the hypotenuse of the right triangle.

The area of the square with side length a+b is (a+b)^2 = a^2 + 2ab + b^2. The area of one of the congruent right triangles is (1/2)ab, so the sum of the areas of the 4 triangles is 2ab. Therefore, the sum of the areas of the 4 triangles and the smaller square is:

a^2 + 2ab + b^2 + c^2

But this is also equal to the area of the larger square with side length a+b, which is (a+b)^2. So we have:

a^2 + 2ab + b^2 + c^2 = (a+b)^2

Expanding the right-hand side gives:

a^2 + 2ab + b^2 + c^2 = a^2 + 2ab + b^2

Canceling the common terms on both sides gives:

c^2 = a^2 + b^2

This is the Pythagorean theorem, which we have proved using the given diagram.

Therefore, option A is the correct answer.

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Yes, a triangle can be constructed with sides of 2/3, 4/5, and 1/2. the value of x is 17.

Since a triangle is a polygon that has three sides and three vertices. It is one of the basic figures in geometry.

To determine if a triangle can be constructed, we need to check if the sum of the two smaller sides is greater than the largest side.

In this case, we can see that

2/3 + 1/2 > 4/5,

2/3 + 4/5 > 1/2,

1/2 + 4/5 > 2/3,

Therefore, a triangle can be formed.

The value of x can be calculated as;

45 + 68 + 3x + 16 = 180

3x = 51

x = 17

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The rate of change for the given table is 1.

For a function y = f(x), the rate of change in any interval (a, b) is:

R = (f(b) - f(a))/(b - a)

Here we can use any pair of values in the table, because it clearly is linear, so we can use the first two.

(4, 9) and (9, 14)

The rate of change is:

r = (14 - 9)/(9 - 4) = 5/5 = 1

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Rounding to the nearest tenth, the circumference of the circle is 69.1 cm.

Diameter is a term used to describe the measurement of a straight line passing through the center of a circle or sphere and connecting two points on its circumference. It is the longest chord that can be drawn in a circle, passing through the center and splitting the circle into two equal halves.

In other words, the diameter is the distance across the circle or sphere, passing through its center, and it is twice the length of the radius. The diameter is a fundamental measurement in geometry and is used to determine other important properties of circles and spheres such as their circumference, area, volume, and surface area.

Diameter is commonly denoted by the symbol "d" and can be calculated using the formula:

d = 2r

where "r" is the radius of the circle or sphere. The diameter can also be found using the Pythagorean theorem, where the diameter is the hypotenuse of a right triangle with sides equal to the radius.

Understanding the concept of diameter is important in many fields, including mathematics, engineering, and science, and is useful for solving problems related to circular and spherical objects.

The formula for the circumference of a circle is C = πd, where d is the diameter.

Given that the diameter is 22 cm, we can plug this into the formula:

C = πd

C = 3.14 × 22

C = 69.08

Rounding to the nearest tenth, the circumference of the circle is 69.1 cm.

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Option b is correct.

The null hypothesis in the chi-square test of hypothesis states that the two categorical variables under consideration are independent of each other, meaning that there is no relationship or association between them.

In the chi-square test of hypothesis, the null hypothesis states that the variables under consideration are independent. That is, there is no relationship between the two variables being studied.

The chi-square test is a statistical method used to determine if two categorical variables are associated or independent. Categorical variables are those that take on values that are categories or labels.

For example, gender (male or female) or educational level (high school, college, graduate school) are categorical variables.

The chi-square test determines the expected frequency of each category based on the null hypothesis, which assumes independence between the two variables.

The observed frequency is then compared to the expected frequency, and if the difference is significant enough, it suggests that the null hypothesis should be rejected, and the two variables are considered to be associated or dependent.

Therefore, in summary, the null hypothesis in the chi-square test of hypothesis states that the two categorical variables under consideration are independent of each other, meaning that there is no relationship or association between them.

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According to unitary method, there are 10 30¢ cards and 8 35¢ cards in the box, which adds up to a total of $5.80.

Let's start by defining our units. In this case, our units are the number of 30¢ cards and the number of 35¢ cards. We know that the box of cards is being sold for $5.80, which means the total value of all the cards in the box is $5.80. We can use this information to set up an equation:

0.30x + 0.35y = 5.80

where x is the number of 30¢ cards and y is the number of 35¢ cards.

Next, we are given the information that the number of 30¢ cards is six more than one half the number of 35¢ cards. Using the unitary method, we can set up an equation that relates the number of 30¢ cards to the number of 35¢ cards:

x = 0.5y + 6

Now we can use this equation to eliminate x from our first equation:

0.30(0.5y + 6) + 0.35y = 5.80

Simplifying this equation gives:

0.15y + 1.80 + 0.35y = 5.80

0.50y = 4.00

y = 8

So there are 8 35¢ cards in the box. We can use the unitary method again to find the number of 30¢ cards:

x = 0.5y + 6

x = 0.5(8) + 6

x = 10

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The area of the trapezoid is 72 square meters.

In order to find the area of a trapezoid, we need to use the formula:

Area = (b1 + b2) x h / 2

where b1 and b2 are the lengths of the parallel sides, and h is the height of the trapezoid.

In this case, we are given the lengths of the parallel sides as 6m and 12m respectively, and the height of the trapezoid is 4m.

So, we can plug these values into the formula to get:

Area = (6m + 12m) x 4m / 2

Area = 18m x 4m Area = 72m²

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Complete Question:

Find the area of the trapezoid.

Base 1 = 6 m

Height = 4 m

Base 2 = 12 m

To make the probability greater than 0.12 that there are at least two people born on the same day of the week, we need at least 21 people chosen at random.

To solve the problem, we can use the concept of the pigeonhole principle.

The probability that no two people share the same birth day of the week is given by:

P(No two people share the same birth day of the week) = 7/7 x 6/7 x 5/7 x … x [(7-(n-1))/7]

Here, n is the number of people chosen at random. The first person can be born on any day of the week. The probability that the second person is born on a different day of the week is 6/7. The probability that the third person is born on a day of the week different from the first two is 5/7, and so on.

The probability that at least two people share the same birth day of the week is

P(At least two people share the same birth day of the week) = 1 - P(No two people share the same birth day of the week)

We want to find the smallest value of n for which P(At least two people share the same birth day of the week) is greater than 0.12.

1 - P(No two people share the same birth day of the week) > 0.12

P(No two people share the same birth day of the week) < 0.88

Using a calculator or a spreadsheet, we can find that n = 21 is the smallest value that satisfies this inequality. Therefore, we need at least 21 people chosen at random to make the probability greater than 0.12 that there are at least two people born on the same day of the week.

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The differential of the function Z is -4e⁻⁴ˣcos(4πt) - 4πsin(4πt)e⁻⁴ˣ

To find the differential function of Z = e⁻⁴ˣ cos(4πt), we will use the product rule of differentiation. The product rule states that the derivative of the product of two functions is equal to the first function multiplied by the derivative of the second function plus the second function multiplied by the derivative of the first function.

Let's apply the product rule to our function Z:

First, we differentiate the first function e⁻⁴ˣ with respect to x. The derivative of e⁻⁴ˣ is -4e⁻⁴ˣ.

Next, we differentiate the second function cos(4πt) with respect to t. The derivative of cos(4πt) is -4πsin(4πt).

Therefore, the differential function of Z is:

dZ/dt = -4e⁻⁴ˣcos(4πt) - 4πsin(4πt)e⁻⁴ˣ

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Answer:

y- coordinate = 4

Step-by-step explanation:

consider a right triangle formed by the x- axis, the radius (hypotenuse) of 5 and a vertical line drawn to the x- axis from the point ( 3, - )

using Pythagoras' identity in the right triangle

3² + y² = 5²

9 + y² = 25 ( subtract 9 from both sides )

y² = 16 ( take square root of both sides )

y = [tex]\sqrt{16}[/tex] = 4

the y- coordinate of the point is 4 , that is (3, 4 )

Answer:

y= coordinate 4

right triangle formed by the x- axis, the radius (hypotenuse) of 5 and a vertical line drawn to the x- axis from the point ( 3, - )

using Pythagoras' identity in the right triangle

3² + y² = 5²

9 + y² = 25 ( subtract 9 from both sides )

y² = 16 ( take square root of both sides )

y =

16

16

= 4

the y- coordinate of the point is 4 , that is (3, 4 )