Describe a graph of the height of the object over time.

An elevator fills with people on the ground floor. Most get off at the seventh floor and the remainder get off at the ninth floor. Then two people get on at the tenth floor and are carried back to the ground floor without any more stops.

What is the y axis labeled? What is the x axis labeled? What does the graph look like?

Answer: the slope is m = 3/5 and the

y-intercept point:  (0 , [tex]-\frac{13}{5}[/tex] )

Step-by-step explanation:

Answer:

Slope: 3/5, y-intercept: -13/5

Step-by-step explanation:

In slope intercept form (y=mx+b), the slope is the coefficient in front of x (m), and the y intercept is b. Let's simply the equation into slope intercept to find the slope and y intercept.

3x - 5y = 13

-5y = -3x + 13

y = 3/5x - 13/5

So the slope is 3/5 and the y-intercept is -13/5

Answer:

- 6

Step-by-step explanation:

Step 1:

2x - 9 = - 21       Equation

Step 2:

2x = - 12       Add 9 on both sides

Step 3:

- 12 ÷ 2     Divide

Answer:

x = - 6

Hope This Helps :)

Answer:

x = -6

Step-by-step explanation:

Let x = unknown number

2x -9 = -21

Add 9 to each side

2x -9+9 = -21+9

2x = -12

Divide by 2

2x/2= -12/2

x = -6

Answer: $3

Step-by-step explanation:

Answer:

$2.50 because if you subtract 6 from 11 you get 5 and 5 divides by 2 is 2.50

Step-by-step explanation:

Indifferent curves are convex to the origin, and no two can intersect. The slope of the curve is given by the marginal rate of substitution, which shows how much of Y an individual is willing to give up to obtain another unit of X.

The slope of an indifferent curve, therefore, reflects how much an individual is willing to substitute between two goods while still retaining the same level of satisfaction. Indifferent curves are a graphical representation of utility, indicating the amount of satisfaction a consumer obtains from a given combination of two commodities or goods.In contrast, Budget line is a graphical representation of the combination of two goods that a consumer can buy with a given amount of income and prices of goods. The budget line is downward sloping, indicating the number of goods that can be purchased for a given amount of money.The equation of the budget line is given by;

M = PxX + PyY, where M is the total money available for spending, Px is the price of good X, Py is the price of good Y, X is the amount of good X, and Y is the amount of good Y.The equation of the budget line is; 40X + 20Y = 200.On the vertical axis, put Y and on the horizontal axis, put X, the intercepts are X = 5 and Y = 10, the budget line will be at (5,0) and (0,10).The marginal utility of X is greater than the marginal utility of Y. Therefore, the consumer will increase the consumption of X and reduce the consumption of Y until the ratio of marginal utilities of both goods equals the ratio of their prices.The consumer will be in equilibrium when;MUx/Px = MUy/Py.

The indifferent curve and budget line concepts are critical in analyzing consumer behavior and their buying patterns. By understanding the principles of utility analysis, businesses can set prices for their goods and services that ensure consumers are willing to buy them. This, in turn, leads to increased sales, revenue, and profits for the business.

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Answer:

You simply reverse the conditional. So for example it would be:

If a figure is not a pentagon, it does not have five sides.

Answer:

2f(n)=3n2−n,

multiply both sides by 12. We get

24f(n)=36n2−12n.

Note that 36n2−12n=(6n−1)2−1.

We get (6n−1)2=24f(n)+1,

then 6n−1=24f(n)+1−−−−−−−−−√,

then 6n=24f(n)+1−−−−−−−−−√+1.

the area under the standard normal curve to the left of z=1.5 is approximately 0.9332.

To find the area under the standard normal curve to the left of z=1.5, we need to use a standard normal distribution table.

The table will provide us with the area to the left of a given z-score. The z-score associated with the area to the left of z=1.5 is 0.9332. Therefore, the area under the standard normal curve to the left of z=1.5 is approximately 0.9332.

In order to find the area under the standard normal curve to the left of z=1.5, we will need to use a standard normal distribution table. A standard normal distribution table is used to find the area under the curve to the left of any given z-score. The area under the standard normal curve to the left of z=1.5 is the same as the probability of getting a z-score less than 1.5.

To find the area under the standard normal curve to the left of z=1.5, we need to first find the z-score associated with that area. We can find this by using a standard normal distribution table, which will give us the area to the left of any given z-score.

Using a standard normal distribution table, we find that the area to the left of a z-score of 1.5 is approximately 0.9332.

Therefore, the area under the standard normal curve to the left of z=1.5 is approximately 0.9332.

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Answer:

Step-by-step explanation:

÷

the width of the path is approximately 6.67 meters or 6.7 meters to one decimal place.

Let the width of the uniform path be w meters.

therefore, the width of the pool will be 20 - 2w meters and the length of the pool will be 28 - 2w meters.

The area of the pool will be:

L * W = (20 - 2w) * (28 - 2w) = 560 - 96w + 4w²

The combined area of the pool and the path will be:

L * W = (20 + 2w) * (28 + 2w) = 784 + 96w + 4w²

The difference between the two areas will be:

Combined Area - Pool Area = 784 + 96w + 4w² - (560 - 96w + 4w²) = 224 + 192w = 16(14 + 12w)

We know that the combined area is 1280 square meters.

Therefore:1280 = 16(14 + 12w)80 = 14 + 12w6.67 = w

Thus, the width of the path is approximately 6.67 meters or 6.7 meters to one decimal place.

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In an F-test, the null hypothesis typically states that all specified coefficients are equal to zero. In this case, the null hypothesis is:

H0: β1 = 0, β2 = 0, βs = 0, and β4 = 0

To reject the null hypothesis, we need to find evidence that at least one of these restrictions is violated. This means that if we can show that any one of the coefficients (β1, β2, βs, or β4) is significantly different from zero, it would provide sufficient evidence to reject the null hypothesis.

Therefore, if any one of these restrictions is violated, meaning that its corresponding coefficient is not equal to zero, it would lead to rejecting the null hypothesis. In this case, only one violation among β1, β2, βs, or β4 is needed to reject the null hypothesis. Hence, the correct answer is:

(b) 1

It's important to note that the specific restriction that is violated can be different for each case, but as long as one restriction is violated, we have enough evidence to reject the null hypothesis in an F-test.

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a. The 99% confidence interval for μ is approximately (5.536%, 8.264%).

b. The alternative hypothesis (Ha) is: The average compensation of all CEOs increased in 2021.

c. The test statistic value is calculated using the formula:

Z = (X - μ) / (σ / sqrt(n))

d.  if the p-value is less than the significance level (α = 0.01), we would reject the null hypothesis and conclude that there is strong evidence that the average compensation of all CEOs increased in 2021.

a. To construct the 99% confidence interval for the population mean (μ), we can use the formula:

CI = X ± Z * (σ / sqrt(n))

where X is the sample mean, Z is the Z-score corresponding to the desired confidence level (99% in this case), σ is the population standard deviation, and n is the sample size.

Given:

X = 6.9%

σ = 5.5%

n = 104

Confidence level = 99%

First, we need to find the Z-score corresponding to a 99% confidence level. Using a Z-table or statistical software, the Z-score is approximately 2.576.

Now we can plug in the values into the formula:

CI = 6.9% ± 2.576 * (5.5% / sqrt(104))

Calculating the values:

CI = 6.9% ± 2.576 * (0.5295%)

= 6.9% ± 1.364%

The 99% confidence interval for μ is approximately (5.536%, 8.264%).

b. The null hypothesis (H0) for testing whether the average compensation of all CEOs increased in 2021 is: The average compensation of all CEOs remained the same or decreased in 2021.

The alternative hypothesis (Ha) is: The average compensation of all CEOs increased in 2021.

c. To determine the test statistic, we need to know the sample mean, population standard deviation, sample size, and the distribution of the population. Since the population standard deviation (σ) is known and the sample size is relatively large (n > 30), we can use the Z-test.

The test statistic value is calculated using the formula:

Z = (X - μ) / (σ / sqrt(n))

where X is the sample mean, μ is the hypothesized population mean under the null hypothesis, σ is the population standard deviation, and n is the sample size.

However, the value of the test statistic is not provided in the given information.

d. To determine if the study gives strong evidence that the average compensation of all CEOs went up, we compare the p-value to the significance level (α).

Since the p-value is not given in the information provided, we cannot make a direct conclusion. However, if the p-value is less than the significance level (α = 0.01), we would reject the null hypothesis and conclude that there is strong evidence that the average compensation of all CEOs increased in 2021.

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Answer:

62 is the answer

Step-by-step explanation:

Answer:

X = 2 x − 10

 y = − 2 /x 3 − 7 /3

Step-by-step explanation:

To get this you must solve y first. There are no variables to x so find y and put it into the equation. Substitute it and find X

Answer:

x = 10, y = - 9

Step-by-step explanation:

Given the 2 equations

x = - 3y - 17 → (1)

2x + 3y = - 7 → (2)

Substitute x = - 3y - 17 into (2)

2(- 3y - 17) + 3y = - 7 ← distribute and simplify left side

- 6y - 34 + 3y = - 7

- 3y - 34 = - 7 ( add 34 to both sides )

- 3y = 27 ( divide both sides by - 3 )

y = - 9

Substitute y = - 9 into (1) for corresponding value of x

x = - 3(- 9) - 17 = 27 - 17 = 10

Answer: Subtract 16 16 from 18 18 . Substitute the values of a a , d d , and e e into the vertex form (x+4)2+2 ( x + 4 ) 2 + 2 .

Step-by-step explanation:

i ain't 100 percent sure

Answer: answer 4

Step-by-step explanation:

2(x  2  −1)+3x(x−4)

Use the distributive property to multiply 2 by x ^2   −1.

2x^2 −2+3x(x−4)

Use the distributive property to multiply 3x by x−4. 2

2x^2  −2+3x  2  −12x

Combine 2x^ 2   and 3x ^2   to get 5x ^2  .

5x  2  −2−12x

Then put it in its formula order and you get

5x^2 -12x -2

kinda hard to do with it in this but i hope this helps

The aim of hypothesis testing is to make inferences or conclusions about a population based on sample data. It allows us to objectively analyze the evidence provided by the data and make decisions based on that evidence. By comparing the observed data to what would be expected under a specific hypothesis, hypothesis testing helps us evaluate whether the data supports or contradicts the claim being tested.

Hypothesis testing provides a structured and systematic approach to assess the validity of a claim or hypothesis. Hypothesis testing achieves several objectives that cannot be otherwise achieved:

Objectivity: Hypothesis testing provides a framework that helps remove personal biases and subjectivity from the decision-making process. It requires formulating clear hypotheses, defining appropriate statistical tests, and following predetermined rules to reach conclusions. This objectivity ensures that decisions are based on evidence rather than personal opinions or preferences.

Quantification of uncertainty: Hypothesis testing allows us to quantify the level of uncertainty associated with the conclusions drawn from the sample data. It provides measures such as p-values and confidence intervals that indicate the likelihood of obtaining the observed results under the null hypothesis. These measures help in assessing the strength of evidence and determining the level of confidence in the conclusions made.

Generalization to the population: Hypothesis testing enables us to make inferences about the population based on the sample data. By testing a hypothesis on a representative sample, we can draw conclusions that extend beyond the observed data. This generalization provides insights and knowledge about the larger population, allowing us to make informed decisions and predictions.

Example of hypothesis testing:

Claim: A new fertilizer leads to an increase in crop yield by at least 10%.

Step 1: Formulate the null and alternative hypotheses:

Null hypothesis (H0): The new fertilizer has no effect on crop yield or increases it by less than 10%.

Alternative hypothesis (Ha): The new fertilizer increases crop yield by at least 10%.

Step 2: Set the significance level (alpha):

Determine the desired level of significance to make a decision. Let's assume alpha = 0.05.

Step 3: Collect and analyze the data:

Implement the new fertilizer on a sample of crops.

Measure the crop yield for each sample plot and calculate the sample mean.

Step 4: Conduct the hypothesis test:

Use an appropriate statistical test, such as a one-sample t-test, to compare the sample mean to the hypothesized value of 10% increase.

Calculate the test statistic and the corresponding p-value.

Step 5: Make a decision and interpret the results:

If the p-value is less than the significance level (alpha), reject the null hypothesis.

Conclude that there is evidence to support the claim that the new fertilizer increases crop yield by at least 10%.

If the p-value is greater than the significance level (alpha), fail to reject the null hypothesis. Conclude that there is insufficient evidence to support the claim.

Step 6: Draw conclusions and report the findings:

Summarize the results, including the test statistic, p-value, and the decision made.

Provide interpretations and recommendations based on the findings, considering the limitations and context of the study.

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Answer:

I believe your answer is 11

A chart or graph that presents grouped data with rectangular bars with lengths proportional to the values that they represent is known as a bar graph.

A bar graph is a way to visually represent data using rectangular bars with lengths proportional to the values that they represent.

The bars can be either vertical or horizontal, depending on the orientation of the graph. The vertical bars are known as a column graph, while the horizontal bars are known as a bar chart.

The purpose of a bar graph is to provide a clear and concise representation of data that is easy to understand and interpret. Bar graphs are commonly used to compare different sets of data or to track changes in data over time.

They can be used to show how a particular variable changes over time or to compare the values of different variables in a single graph.

Bar graphs are easy to read and interpret, making them a popular choice for both simple and complex data sets.

They are widely used in business, science, and education, among other fields, to present information in a clear and concise manner.

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Answer: Yea, Good job :)

Step-by-step explanation:

Answer;

J is 6

Step-by-step explanation:

Answer:   j = 486

Step-by-step explanation:

Based on the provided table, we can calculate the project length, identify the activities on the critical path, and determine the slack for activities A and B.

a. To calculate the project length, we need to determine the longest path through the project network.

This path is known as the critical path and represents the minimum time required to complete the project.

By summing up the durations of all activities on the critical path, we can find the project length.

b. Activities on the critical path are those that directly contribute to the project length. Any delay in these activities would cause a delay in the overall project completion.

By analyzing the dependencies and durations of the activities, we can identify which ones fall on the critical path.

c. Slack refers to the amount of time an activity can be delayed without delaying the project's overall completion. It is calculated by finding the difference between the latest start time and the earliest start time for each activity. For activities A and B, we can determine the slack by comparing their earliest and latest start times.

By performing the necessary calculations and analysis, we can provide the specific answers for the project length, critical path activities, and the amount of slack for activities A and B.

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Answer:

2x(x + 4)

Step-by-step explanation:

The greatest common factor of 2x^2 and 8x is 2x. So, we can factor out 2x to get:

2x(x + 4)

The definition of a greatest common factor (GCF) is the largest number that is a factor of two or more numbers. In this case, 2x is the GCF of 2x^2 and 8x because it is the largest number that divides both numbers evenly.

Here are the steps on how to factor out the GCF:

In this case, the factored expression is 2x(x + 4).

The answer is:

Work/explanation:

Let's find something that [tex]\sf{2x^2}[/tex] and [tex]\sf{8x}[/tex] have in common.

In other words, we find their GCF (greatest common factor).

The GCF of [tex]\sf{2x^2}[/tex] and [tex]\sf{8x}[/tex] is 2x.

So I factor it out :

[tex]\sf{2x(x+4)}[/tex]

Answer:

a.  ║ t - 250 ║ = 30.  b.  The last song will fit into the album.  

Step-by-step explanation:

a. Since the song must be within 30 seconds of 250 seconds to fit in the recording space left on the album, let t be the time duration of the song. So, for it to be within 30 seconds of 250 seconds, the expression is

t - 250 = ±30 or ║ t - 250 ║ = 30.

b. Since the song is 4 minutes and 47 seconds long, converting this to seconds, it is 4 × 60 s + 47 s = 240 s + 47 s = 287 s.

Inserting t into the left side of the equation t - 250 = 287 - 250 = 27 s which is less than 30 s. Since the time difference is less than 30 s, the last song will fit into the album.  

The scuba diver's rate is 24 feet per minute.

A rate of change is a rate that describes how one quantity changes in relation to another quantity.

Here, total distance covered underwater = 120 feet.

total time taken = 5 minutes.

Rate change = Distance covered / Time taken

                      = 120 / 5

                      = 24 ft per minute.

Thus, The scuba diver's rate is 24 feet per minute.

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The probability of no dandelions in an area of 1 m² is approximately 0.00034.

Dandelions are studied for their effects on crop production and lawn growth. In one region, the mean number of dandelions per square meter was found to be 10.8. Given this, we can find the probabilities of different numbers of dandelions in an area of 1 m².

Let X be the number of dandelions in a square meter. We can assume that X follows a Poisson distribution.

Using Poisson distribution, the probability of no dandelions in an area of 1 m² is:

P(X = 0) = e-10.8 × 10.8^0/0! ≈ 0.00034

In conclusion, the probability of no dandelions in an area of 1 m² is approximately 0.00034. This means that the occurrence of no dandelions in an area of 1 m² is very rare. The Poisson distribution is used when we are dealing with counts and the occurrence of events over a fixed interval or region. It is used when the occurrence of an event is rare, and it follows the assumption that the events occur independently of each other.

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Answer:

12

Step-by-step explanation:

you take 50 diveded by .24 (for 24%) which is 12

Answer:

48%, or 24 candies

Step-by-step explanation:

Since there is 50 candies, and the percentenc is based on 100%, you can double the percent of the amount of green candies to see how many there are.

Answer:

x = - 5, y = 3

Step-by-step explanation:

Given the 2 equations

3x + 2y = - 9 → (1)

4x - 2y = - 26 → (2)

Adding (1) and (2) term by term eliminates the y- term, that is

7x = - 35 ( divide both sides by 7 )

x = - 5

Substitute x = - 5 into either of the 2 equations and solve for y

Substituting into (1)

3(- 5) + 2y = - 9

- 15 + 2y = - 9 ( add 15 to both sides )

2y = 6 ( divide both sides by 2 )

y = 3

Answer: x < 1

--------------------    

Answer:

0.7

Step-by-step explanation:

The answer unrounded is 0.7085...  It is 0.7 when rounded to the nearest tenth.

Answer:

me i hate it but it not that hard tho

Step-by-step explanation: