Can i get the correct answer to this please escape rooms are hard
Whoever answers this first gets a brainliest.
I need the answer ASAP and how you solved it.

Answer:

Geometry in Mathematics is the study of shape and figures.

Answer:

Geometry refers to a branch of mathematics which is focused on the measurement and relationship of lines, angles, surfaces, solids and points. For instance, the calculation of a triangle's angles is an example of geometry.

Answer:

4922 more

Step-by-step explanation:

15,498-10,576=4922

a. Two populations.

b. Qualitative (categorical) data.

c. Proportion stats.

d. Null hypothesis: p1 = p2 (The proportion of seniors who bring a bag lunch is equal to the proportion of sophomores who bring a bag lunch). Alternative hypothesis: p1 > p2 (The proportion of seniors who bring a bag lunch is greater than the proportion of sophomores who bring a bag lunch).

e. Z-test for two proportions.

f. P-value.

g. A small P-value provides convincing evidence to support Phoebe's hunch that older students are more likely to bring a bag lunch than younger students.

h. 95% confidence interval to estimate the difference in proportions.

What is hypothesis?

A hypothesis is a proposed explanation or assumption that is tested through research and data analysis. It is a statement that suggests a relationship or difference between variables or phenomena and serves as a basis for scientific investigation.

a. There are two populations in this problem: the population of seniors and the population of sophomores.

b. This is a problem about qualitative (categorical) data since we are examining whether students bring a bag lunch or not.

c. We will use the proportion stats option in StatCrunch to complete this problem.

d. Null hypothesis (H0): The proportion of seniors who bring a bag lunch is equal to the proportion of sophomores who bring a bag lunch.

Alternative hypothesis (Ha): The proportion of seniors who bring a bag lunch is greater than the proportion of sophomores who bring a bag lunch.

e. The test statistic is the z-test for two proportions.

f. The P-value is the probability of observing a test statistic as extreme as the one calculated, assuming the null hypothesis is true.

g. The strength of the P-value determines the level of evidence against the null hypothesis. If the P-value is small (below the significance level), it provides strong evidence against the null hypothesis. In this case, a P-value less than 0.05 (assuming significance level α = 0.05) would suggest convincing evidence to support Phoebe's hunch.

h. To construct a 95% confidence interval to estimate the difference in proportions, we use the formula:

Confidence interval = (p1 - p2) ± z * sqrt((p1 * (1 - p1) / n1) + (p2 * (1 - p2) / n2))

where p1 and p2 are the sample proportions, n1 and n2 are the sample sizes, and z is the critical value corresponding to the desired confidence level (in this case, z value for a 95% confidence level).

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To calculate the discharge through the circular channel, we can use Manning's equation, which relates the flow rate (Q) to the channel properties and flow conditions. Manning's equation is given by:

Q = (1/n) * A * R^(2/3) * S^(1/2)

where:

Q is the discharge (flow rate)

n is Manning's coefficient (0.014 in this case)

A is the cross-sectional area of the channel

R is the hydraulic radius of the channel

S is the slope of the channel bed

First, let's calculate the cross-sectional area (A) of the circular channel. The diameter of the channel is given as 6m, so the radius (r) is half of that, which is 3m. Therefore, the area can be calculated as:

A = π * r^2 = π * (3m)^2 = 9π m^2

Next, let's calculate the hydraulic radius (R) of the channel. For a circular channel, the hydraulic radius is equal to half of the diameter, which is:

R = r = 3m

Now, we can calculate the slope (S) of the channel bed. The given slope is 1 in 600, which means for every 600 units of horizontal distance, there is a 1-unit change in vertical distance. Therefore, the slope can be expressed as:

S = 1/600

Finally, we can substitute these values into Manning's equation to calculate the discharge (Q):

Q = (1/0.014) * (9π m^2) * (3m)^(2/3) * (1/600)^(1/2)

Using a calculator, the discharge can be evaluated to get the final result.

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Answer:

14 feet

Step-by-step explanation:

We solve the above question by using the Greatest Common Factor method

We find the factors of 56 and 98

The factors of 56 are: 1, 2, 4, 7, 8, 14, 28, 56

The factors of 98 are: 1, 2, 7, 14, 49, 98

Then the greatest common factor is 14.

Therefore, the greatest possible length you can cut the rope so all pieces will be the same is 14 feet

£293.25

If 1 euro is worth 0.85 pounds, the total of 345 euros is 0.85 times the value of a single euro. This is therefore 0.85 * 345, or £293.25.

Answer:

THE one with the u shape going up, and the the red line in the tilting to the left.

Answer:

No not yet. But Sumter County is supposed to get rain all week starting today. It's starting to thunder now.

Answer:

Oh yeah...

Step-by-step explanation:

Arthur is bullying my house.......

(Brainliest?)

Answer:

27

Step-by-step explanation:

You would go 83.5 - 2.5 to get 81

divide 81 by three to get 27

Step-by-step explanation:

Statistical Process Control (SPC) is a methodology used in quality management to monitor and control processes. It involves the application of statistical techniques to measure.

Statistical Process Control (SPC) is a powerful tool used to monitor and control processes in various industries. It utilizes statistical techniques to analyze process data, identify trends, and make informed decisions to improve process performance.

The primary objective of SPC is to ensure that a process operates within its specified limits and meets the desired quality standards. SPC involves the collection.

Analysis of data over time to understand process behavior and make necessary adjustments to maintain control. By monitoring and controlling the process variation, SPC helps to reduce defects and improve overall quality.

The key components of SPC include:

1. Control Charts: Control charts are graphical tools used to plot process data over time. They provide a visual representation of process variation and help identify when a process is in or out of control.

Control charts have upper and lower control limits that define the acceptable range of variation. Any data points outside these limits indicate special causes of variation that require investigation and action.

2. Data Collection and Analysis: SPC requires the collection of accurate and representative data. Data is collected at regular intervals and analyzed using statistical techniques such as mean, range, standard deviation, and process capability analysis.

These analyses help understand process performance, identify trends, and evaluate the capability of the process to meet customer requirements.

3. Process Monitoring and Improvement: SPC enables real-time process monitoring and provides timely feedback on process performance. It helps identify and address issues before they lead to defects or non-conformances.

By detecting trends or shifts in process performance, SPC allows for proactive intervention to maintain control and prevent quality problems.

4. Continuous Improvement: SPC is a fundamental aspect of a continuous improvement culture. By regularly monitoring process data, analyzing performance, and making data-driven decisions, organizations can identify areas for improvement and implement targeted changes to enhance process efficiency and quality.

Statistical Process Control (SPC) is a systematic approach to monitor and control processes using statistical techniques. It helps organizations maintain control, reduce defects, and improve overall quality by analyzing process data, identifying sources of variation, and making data-driven decisions.

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The linearized form of the function \(\(x^{2}+\sin(x)\)\) for x near 1.1 radians is \(\(f(x)\approx1.31002+2.45360(x-1.1)\)\)

The function \(\(x^{2}+\sin(x)\)\) needs to be linearized for x near 1.1 radians.

To linearize the given function, follow the steps below:

Step 1: Find the first derivative of the given function which is

\(\(f(x)=x^{2}+\sin(x) \) \(\frac{d}{dx}f(x)=2x+\cos(x)\)\)

Step 2: Compute the value of the function at

\(\(x=1.1\)\(f(1.1)=(1.1)^{2}+\sin(1.1) \)\(f(1.1)\approx1.31002\)\)

Step 3: Compute the value of the first derivative at

\(\(x=1.1\)\(\frac{d}{dx}f(x)=2x+\cos(x)\)\(\frac{d}{dx}f(1.1)=2(1.1)+\cos(1.1) \)\(\frac{d}{dx}f(1.1)\approx 2.45360\)\)

Step 4: Substitute the values obtained in Steps 2 and 3 into the linearization formula,

\(\(f(x)\approx f(a)+f'(a)(x-a) \)where \(a=1.1\) and \(x\) is near \(1.1\).\)

Substituting the values,

\(\(f(1.1)\approx 1.31002\) and \(\frac{d}{dx}f(1.1)\approx 2.45360\)\)

we get,

\(\(f(x)\approx1.31002+2.45360(x-1.1)\)\)

This is the linearized form of the function \(\(x^{2}+\sin(x)\)\) for x near 1.1 radians.

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The true proportion of dead but still standing trees in a large forest is estimated by the confidence interval (0.14,0.20) with a certain confidence level. Later, the sample proportion was revised from the incorrect value to the correct value of 0.27.

The question is asking which statement is true regarding the revised interval based on the correct sample proportion.

The correct revised interval based on the new sample proportion cannot be determined from the information given. In order to calculate a new confidence interval based on the correct sample proportion, we would need to know the sample size or the margin of error of the original interval. Without this information, we cannot determine the new interval with any certainty. However, we can say that the new interval will be different from the original interval because the sample proportion has changed.

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Answer:

step bro im stuck

Step-by-step explanation:

34 is a rational number

Answer:

(5,7)

Step-by-step explanation:

Answer:

Step-by-step explanation:

Can you like put the equation together it looks highly confusing

The solution for the given equation is 15.

The given equation is 2 = -7/4 + 1/4 x.

The solution of an equation is the set of all values that, when substituted for unknowns, make an equation true.

Here, 2 = (-7+x)/4

2×4 = -7+x

8 = -7+x

x = 8+7

x = 15

Therefore, the solution for the given equation is 15.

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The percent of the field goals did Samuel make will be 77.5%.

A percentage is a value or ratio that may be stated as a fraction of 100. If we need to calculate a percentage of a number, we should divide it's entirety and then multiply it by 100. The percentage therefore refers to a component per hundred. Per 100 is what the word percent means. It is represented by %.

Samuel made 31 out of 40 field goals during football practice. The percent of the field goals did Samuel make will be:

= 31 / 40 × 100

= 77.5%

The percentage is 77.5%.

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Answer:2y+y-4+9

Step-by-step explanation:

2y+y-4+9

The cost of the gold required for coating the driveway with a 0.500-inch thick layer of gold would be approximately 518034.49 dollars.

Since the density of gold is given in grams per cubic centimeter (g/cm³), the thickness of the layer should be converted to centimeters as well.1 inch = 2.54 cm

So, 0.500 inch = 0.500 x 2.54 cm = 1.27 cm

Therefore, the volume of gold required is:

Volume = area x thickness= 500 x 1.27= 635 cm³

Now, the mass of gold required can be calculated as:mass = density x volume= 19.3 x 635= 12260.5 g

Since 1 ounce = 28.35 g, the mass can be converted to ounces as follows:

mass in ounces = mass in grams / 28.35= 12260.5 / 28.35= 433.17 ounces

Finally, the cost of the gold can be calculated by multiplying the mass in ounces by the market value per ounce.

The market value is given as 1197 dollar/ounce. Therefore, the cost can be calculated as:

Cost = mass in ounces x market value= 433.17 x 1197= 518034.49 dollars

Therefore, the cost of the gold required for coating the driveway with a 0.500-inch thick layer of gold would be approximately 518034.49 dollars.

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The percentage of the variation in y can be explained by the corresponding variation in x and the least - squares line

The value of the coefficient of determination r2 = 0.9617*0.9617 = 0.9249

percentage of the variation in y can be explained by the corresponding variation in x and the least - squares line is = 92.49%

So, percentage is unexplained = (100 - 92.49)%

= 7.51%

Therefore, the percentage of the variation in y that can be explained by the corresponding variation in x and the least-squares line is 92.49% . The percentage which is unexplained is 7.51% i.e. (100%−92.49%) .

Hence the variation in X and the least-squares line is 7.51%

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Answer:

x3+y3+z3=k, with k being all the numbers from one to 100

Step-by-step explanation:

your welcome, hmm i think your brain cells might have been disrupted because of all that tikt.

ANSWER:

44 kg

STEP-BY-STEP EXPLANATION:

Since they vary directly, we can calculate the amount of water by means of the following proportion:

So that's 44 kilograms of water in a 66-kilogram person.

Answer:

Step-by-step explanation:

56.1,12.1,23.6

The quadratic equation has a negative value that is a maximum if vertex constant is negative but vertex y-coordinate is negative, while it has a positive value that is a minimum if vertex constant is positive by vertex y-coordinate is positive.

Graphically speaking, quadratic functions are parabolae and their absolute extremes are called vertices. There are three ways to describe quadratic functions:

Standard form

y = a · x² + b · x + c

Factor form

y = a · (x - r₁) · (x - r₂)

Vertex form

y - k = C · (x - h)²

Where:

Vertex form offers us a quick possibility to answer this question, from its understanding we get the following conclusions:

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Answer: 30 miles

Step-by-step explanation:

45/6 = 7.5 miles per minute

7.5 x 4 = 30 miles per minute

Each individual result of a probability experiment is called an "outcome" (d).

An outcome refers to a specific result or occurrence that can happen when conducting a probability experiment. It represents the different possibilities or potential results of an experiment.

For example, when flipping a fair coin, the possible outcomes are "heads" or "tails." In this case, "heads" and "tails" are the two distinct outcomes of the experiment.

Similarly, when rolling a fair six-sided die, the possible outcomes are the numbers 1, 2, 3, 4, 5, or 6. Each number represents a different outcome that can occur when rolling the die.

In summary, an outcome is a specific result or occurrence that can happen during a probability experiment. It is essential to understand outcomes as they form the basis for calculating probabilities and analyzing the likelihood of different events occurring.

Thus, each individual result of a probability experiment is called an "outcome" (d).

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5,

O, Y, M, I and A would look the same in a reflection as they are symmetrical

Answer:

(0,-1)

Step-by-step explanation: