Do anyone know if this represents a function or not?

Answer:

Decimal - 0.19 Fraction - 19/100

Step-by-step explanation:

Answer:

Decimal: 0.19

Fraction: 19/100

Step-by-step explanation:

19% means that there is 19/100 which is also 0.19 as a decimal. I dont really know how to explain this but can you please mark as brainliest?

the area of a circle with a rectangle will be [π w²2]/4.

What is the area of a circle?

The measurement of the circle's boundaries is called as the circumference or perimeter of the circle. whereas the circumference of a circle determines the space it occupies. The circumference of a circle is its length when it is opened up and drawn as a straight line. Units like cm or unit m are typically used to measure it. The circle's radius is considered while calculating the circumference of the circle using the formula. As a result, in order to calculate the circle's perimeter, we must know the radius or diameter value.

area of the circle will be πr².

The area of a circle inscribed in a rectangle if the length of the rectangle is l and the width is w

= [π w²2]/4.

Hence the area of a circle with a rectangle will be [π w²2]/4.

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The value of 4/5 x 3/4 in simplest form is 3/5. To find the value of 4/5 x 3/4, we need to multiply the numerators and denominators separately and simplify the resulting fraction to its simplest form. Multiplying the numerators 4 and 3 gives us 12, while multiplying the denominators 5 and 4 gives us 20. So, 4/5 x 3/4 can be written as 12/20.

To simplify 12/20 to its simplest form, we need to find the greatest common factor (GCF) of the numerator and denominator. In this case, both 12 and 20 are divisible by 4, so the GCF is 4. Dividing both the numerator and denominator by 4, we get 3/5. Therefore, the value of 4/5 x 3/4 in simplest form is 3/5.
In conclusion, the value of 4/5 x 3/4 in simplest form is 3/5, which can be obtained by multiplying the numerators and denominators separately and simplifying the resulting fraction by finding its greatest common factor.

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The average pay-per-hour of the year for Elise will be 13.73 pounds.

From the information, in 2016 she earned £2100 and in 2017 she was awarded a 3% increase on her monthly salary.

Therefore, the new salary will be:

= 2100 + 3%(2100)

= 2100 + 63

= 2163

Now she worked for 42 hours per week for 45 weeks. This will be:

= 42 × 45

= 1890 hours

Therefore, the total earnings for the year will be:

= 2163 × 12 months

= 25956

The average pay-per-hour of the year will be:

= Total amount / Number of hours

= £25956 / 1890

= £13.73

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The constant of proportionality between the pages read and the time is 1.25

It is a constant relationship between different measurable quantities.

Data of the problem:

We calculate the rate, dividing the number of page by the time passed and we get:

Rate = pages/time

Rate = 10/8

Rate = 1.25

Rate = 15/12

Rate = 1.25

Rate = 25/20

Rate = 1.25

We also can calculate with the formula:

y = mx

Where:

10 = m*8

m = 10/8

m = 1.25

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Answer:

where is the rest of the question

Answer:

D Standard Deviation

Step-by-step explanation:

Edge 2022

Answer:

Option 1:  \(\frac{2x}{3y^{2}z}\)

Step-by-step explanation:

Using the Quotient Rule of Exponents:

\(\frac{a^{m}}{a^{n}} = a^{(m - n)}\)

We could simplify the given exponential expression by reducing the constants and subtracting the exponents of the same base.

\(\frac{18x^{2}y}{27xy^{3}z}\)

\(\frac{9*2*x^{2}y}{9*3*xy^{3}z}\) =  \(\frac{2x^{2}y}{3xy^{3}z}\)

Subtract the exponents of x, which eliminates x from the denominator.

\(\frac{2xy}{3y^{3}z}\)

Lastly, subtract the exponents of y.  This process eliminates y from the numerator and leaving y² in the denominator.

\(\frac{2x}{3y^{2}z}\) ⇒ This is the simplified form of the given exponential expression. Therefore, the correct answer is Option 1.    

Answer:

Hi How are you doing today???

Answer:

Hello there, how are you doing?

Step-by-step explanation:

Answer: x

=

5

±

i

√

23

6

Explanation:

y

=

3

x

2

−

5

x

+

4

=

0

Use the improved quadratic formula.

D

=

d

2

=

b

2

−

4

a

c

=

25

−

48

=

−

23

=

23

i

2

-->

d

=

±

i

√

23

There are no real roots. There are 2 complex roots:

x

=

−

b

2

a

±

d

2

a

=

5

6

±

i

√

23

6

=

5

±

i

√

23

6

Step-by-step explanation:

Answer:

X= (5 ± i√23)/6

best predicted value of y for x = 4.25 is 12.75 .we can use the regression equation y = 3x to find the predicted value of y for any given value of x.

If we assume that the value of x is not given and we want to find the predicted value of y for the average value of x, then we can use the formula for the mean of x and y values to find the average value of x:

x= (x1 + x2 + x3 + x4) / 4

Similarly, we can find the average value of y:

y= (y1 + y2 + y3 + y4) / 4

We are given that y = 12.75, so we can use the regression equation to solve for x:

y = 3x

x = y / 3

x = 12.75 / 3

x = 4.25

we have the value of x, we can use the regression equation to find the predicted value of y

y = 3x

y = 3(4.25)

y = 12.75

Therefore,  best predicted value of y for x = 4.25 is 12.75.

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The z-score for a subject with a score of 34 on this standardized test is approximately -2.37. This indicates that the subject's score is about 2.37 standard deviations below the population mean. The negative sign indicates that the score is below the mean.

The z-score for a subject who earns a score of 34 on a standardized test with a population mean of 115 and a standard deviation of 30 is approximately -2.37.

The z-score measures the number of standard deviations a raw score is from the mean of a distribution. It is calculated using the formula:

z = (x - μ) / σ

Where:

z is the z-score,

x is the raw score,

μ is the population mean, and

σ is the population standard deviation.

In this case, the subject's raw score is 34, the population mean is 115, and the standard deviation is 30. Plugging in these values into the formula, we have:

z = (34 - 115) / 30 ≈ -2.37

Therefore, the z-score for a subject with a score of 34 on this standardized test is approximately -2.37. This indicates that the subject's score is about 2.37 standard deviations below the population mean. The negative sign indicates that the score is below the mean.

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Answer:

eres chica lesbiana sooo preguntq

Answer:

x=9

Step-by-step explanation:

plug in the number 9

-2(9)= -18

-18+3= -15

Based on the given information, the estimate for the number of cells in a T75 flask can be calculated by comparing the number of cells in the picture to the field of view area and then scaling it up to the size of the T75 flask.

Given that there are 55 cells in the picture, we can use this information to estimate the density of cells in the field of view. The field of view has dimensions of 1.85 mm x 1.23 mm, which gives an area of 2.7095 square millimeters (\(mm^2\)). To calculate the cell density, we divide the number of cells (55) by the area (2.7095 \(mm^2\)), resulting in an approximate cell density of 20.3 cells per \(mm^2\).

Now, to estimate the number of cells in a T75 flask, we need to know the size of the flask's growth area. A T75 flask typically has a growth area of about 75 \(cm^2\). To convert this to \(mm^2\), we multiply by 100 to get 7500 \(mm^2\).

To estimate the number of cells in the T75 flask, we multiply the cell density (20.3 cells/\(mm^2\)) by the growth area of the flask (7500 \(mm^2\)). This calculation gives us an approximate estimate of 152,250 cells in the T75 flask. It's important to note that this is just an estimate, and actual cell counts may vary depending on various factors such as cell size, confluency, and experimental conditions.

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The mean longevity of people in the locality is approximately 67.28 years.

Let X be the random variable representing the longevity of people in the locality. We know that the standard deviation of X is 14 years.

Let μ be the mean of X.

Now, we are given that 30% of the people live longer than 75 years. This means that the probability of X being greater than 75 is 0.3.

We can use the standard normal distribution table to find the corresponding z-score for a probability of 0.3. From the table, we find that the z-score is approximately 0.52.

Recall that the z-score is given by (X - μ) / σ, where σ is the standard deviation of X. Substituting the given values, we have:

0.52 = (75 - μ) / 14

Solving for μ, we get:

μ = 75 - 0.52 * 14

μ = 67.28

Therefore, the mean longevity of people in the locality is approximately 67.28 years.

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Determine complement angle of measure s 8x.

So answer is 90 - 8x.

Answer:

24m^2

Step-by-step explanation:

to find the length of a rectangle you do base x height. this means that 8m x 3m is 24m^2

To find the moles of gas remaining in the bag, we can use the initial and final volumes and the initial moles of gas. Since the temperature and pressure remain constant, we can use the formula:

Initial moles × Initial volume = Final moles × Final volume
0.80 mol × 18 L = Final moles × 16 L

Solve for the final moles:
(0.80 mol × 18 L) / 16 L = Final moles

14.4 mol / 16 L = Final moles
Final moles = 0.9 mol

So, 0.9 moles of gas remain in the bag after the leak. The closest answer is 0.91 mol, so the correct option is:
0.91 moles of gas remain in the bag.

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When specializing in the goods they have a comparative advantage in, you will produce 36 pounds of apples and your neighbor will produce 16 pounds of cherries. After trading half of your production for half of your neighbor's, you will end up consuming 18 pounds of apples and 8 pounds of cherries, while your neighbor will consume 18 pounds of cherries and 4 pounds of apples.

To find the production levels when specializing, we need to identify the goods each party has a comparative advantage in. You produce 72 pounds of apples and 12 pounds of cherries when focusing solely on each good, while your neighbor produces 32 pounds of both apples and cherries. You have a comparative advantage in apples since you can produce 6 times more apples than cherries (72 apples vs. 12 cherries) while your neighbor can only produce twice as many apples as cherries (32 apples vs. 16 cherries).

Thus, you will specialize in apple picking, and your neighbor will specialize in cherry picking. As a result, you will produce 36 pounds of apples, and your neighbor will produce 16 pounds of cherries. After trading, you both end up with half of each other's production. You will consume 18 pounds of apples and 8 pounds of cherries, while your neighbor will consume 18 pounds of cherries and 4 pounds of apples. This specialization and trade allow both of you to enjoy a more diverse consumption bundle and increase overall welfare.

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Answer:

Write the equation of the graph in slope intercept form

To write a slope-intercept equation from a graph, find the point where the graph crosses the y-axis, b, and the slope, m, and plug them into the equation y=mx+b.

Step-by-step explanation:

hope this helps

The transformation that follows the rule (x,y) -> (-x,y) is given as follows:

Reflection over the y-axis.

When a figure is reflected over the line y = x, we have that the coordinates are exchanged, as follows:

(x,y) -> (y, x).

When a figure is reflected over the x-axis, we have that the sign of the y-coordinate is changed, as follows:

(x,y) -> (x, -y).

When a figure is reflected over the y-axis, we have that the sign of the x-coordinate is changed, as follows:

(x,y) -> (-x, y).

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Answer:

Least to greatest

-10, 0, 10

Using a significance level of 0.10, we will test whether the mean tuition and fees for private institutions in California is greater than $35,000 based on the given sample data.

To test the hypothesis, we will use a one-sample t-test. The null hypothesis (H0) states that the mean tuition and fees for private institutions in California is not greater than $35,000, while the alternative hypothesis (Ha) states that the mean is greater than $35,000.

Given the sample mean of $31,500 and standard deviation of $7,250, we can calculate the test statistic (t-value) using the formula:

t = (sample mean - hypothesized mean) / (sample standard deviation / sqrt(sample size))

Substituting the values, we find:

t = (31,500 - 35,000) / (7,250 / sqrt(15))

With the calculated t-value, we can compare it to the critical value from the t-distribution table at a significance level of 0.10, considering the degrees of freedom (sample size - 1).

If the calculated t-value is greater than the critical value, we reject the null hypothesis and conclude that the mean tuition and fees for private institutions in California is greater than $35,000. Otherwise, we fail to reject the null hypothesis.

Please note that the critical value and the calculated t-value should be compared to make the final decision.

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Complete question:

The mean annual tuition and fees in the 2013 - 2014 academic year for a sample of 15 private colleges in California was $31,500 with a standard deviation of $7,250. A dotplot shows that it is reasonable to assume that the population is approximately normal. Can you conclude that the mean tuition and fees for private institutions in California is greater than $35,000? Use the a = 0.10 level of significance.

Answer:

7 or -9, dependent on if 2y is or is not negative

Step-by-step explanation:

If 2y is NOT negative

2(4)-1=i

8-1=i

i=7

If 2y IS negative

-2(4)-1=i

-8-1=i

i=-9

The correct option is 20.

The score found for the sample is 20.

A standard error is a statistic that is applied to test the distribution of data. This metric is comparable to standard deviation. We can calculate the standard error if we know the sample size & standard deviation. It assesses the mean's precision.

Now, according to the question;

Sample mean; \(\bar{x}=40\)

Sample variance; \(s^{2}=20\)

Thus, \(s=\sqrt{20}=4.47\)

Standard error SE = 1

The amount of scores with in sample must be determined here.

The standard error formula is as follows:

\(S E=\frac{s}{\sqrt{n}}\)

We might rearrange the formula as follows:

\(\begin{aligned}\sqrt{n} &=\frac{s}{S E} \\n &=\left(\frac{s}{S E}\right)^{2}\end{aligned}\)

Substituting the values;

\(\begin{aligned}&n=\left(\frac{4.47}{1}\right)^{2} \\&n=19.98\end{aligned}\)

The sample's number of scores n = 19.98 = 20 (round up)

Therefore, the scores are in the sample is 20.

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Answer:

Step-by-step explanation:

Parking charge for 2 hours = $ 9

Parking charge for 1 hour = 9/2 = $ 4.50

c = 4.50*p

c = 4.5p

The statement "The probability of making a type II error is not influenced by the group of answer choices effect size, sample size, alpha level, and gamma level" is false

In statistical hypothesis testing, the probability of making a type II error refers to the likelihood of failing to reject a null hypothesis when it is actually false. This error occurs when the sample data fails to provide sufficient evidence to reject the null hypothesis, even though it is false. There are various factors that can influence the probability of making a type II error, such as the effect size, sample size, alpha level, and gamma level.

In this answer, we will examine the influence of each of these factors on the probability of making a type II error and state whether the statement "the probability of making a type II error is not influenced by the group of answer choices effect size, sample size, alpha level, and gamma level" is true or false.

The probability of making a type II error is denoted by the symbol "β" and is dependent on several factors. One of these factors is the effect size, which refers to the magnitude of the difference between the null hypothesis and the alternative hypothesis. The larger the effect size, the smaller the probability of making a type II error, as the sample data is more likely to provide evidence against the null hypothesis.

Another factor that can influence the probability of making a type II error is the sample size. A larger sample size generally reduces the probability of making a type II error, as it increases the power of the test. Power is defined as the probability of rejecting the null hypothesis when it is actually false, and is denoted by the symbol "1-β". Therefore, a higher power means a lower probability of making a type II error.

The alpha level, denoted by the symbol "α", is the level of significance that is used to determine whether to reject the null hypothesis. It represents the probability of making a type I error, which occurs when the null hypothesis is rejected even though it is actually true. The alpha level is typically set at 0.05 or 0.01, and a lower alpha level generally results in a lower probability of making a type II error.

Finally, the gamma level, denoted by the symbol "γ", is the probability of accepting the null hypothesis when it is actually false. It is equal to 1-α, and a higher gamma level means a higher probability of making a type II error.

In summary, all of the factors mentioned - effect size, sample size, alpha level, and gamma level - can influence the probability of making a type II error. Therefore, the statement "the probability of making a type II error is not influenced by the group of answer choices effect size, sample size, alpha level, and gamma level" is false

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Complete Question

State true or false with explanation:

The probability of making a type ii error is not influenced by the: group of answer choices effect size, sample size, alpha level, gamma level.