Fluctuations in the phosphorus cycle in aquatic ecosystems _______.

Answer:

It is either b or d

Explanation:

At 90% confidence, average weights of 36 trucks would lie within the range of 5967.1 pounds to 6032.9 pounds.

Given:

Sample size (n) = 36

Mean weight (μ) = 6000 pounds

Standard deviation (σ) = 120 pounds

With sample size (n ≥ 30) and the population standard deviation is known, we can use the z-distribution to calculate the confidence interval.

Using a standard normal table or a statistical calculator, the z-value for a 90% confidence level is approximately 1.645.

Confidence interval = mean ± (z-value × (standard deviation / √sample size))

Confidence interval = 6000 ± (1.645 * (120 / √36))

Confidence interval = 6000 ± (1.645 * 20)

Confidence interval ≈ 6000 ± 32.9

Therefore, we can expect that the average weights of 90% of the 36 randomly selected trucks will fall within the range of 5967.1 pounds to 6032.9 pounds.

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Answer:

The major difference between the Roman Catholic Church and the Eastern Orthodox Church is that the Roman Catholic Church believes the pope is impeccable in affairs relating to the doctrine while the Eastern Orthodox Church discard the papal primacy notion and considers the patriarch to have human nature and capable of being wrong.

Explanation:

Along with the Eastern Orthodox Church, the Protestants churches also have discarded the belief of papal primacy

The other differences are;

1) That the Roman Catholic Church believes that Mary was given birth to without man's original sin, while the Eastern Orthodox Church believed that Mar was purged of the original sin

2) The filioque clause

The seating arrangement is the logical arrangement of objects or people. To answer the questions, one must either perform the arrangement or decode the predefined arrangement using logical analysis.

Given,

P,Q,R,S and T are sitting in a row facing North.

1)  R is sitting just next to S

2) R is on the second position from the right.

3) Only T is left so the final sitting arrangement is:

Hence, T is sitting at the second position from the left end.

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Answer:

p(x)= x +5

Explanation:

Observations for low mass star:

I will represent gravity in the low mass star by slowly moving my hand towards the Fe [26] nucleus, gradually increasing the force of attraction.

During the game, it was difficult to get the lighter nuclei to stick together and form heavier nuclei. It required a lot of patience and precise movements.

Eventually, I was able to create some heavier nuclei, but it was a slow and inefficient process.

It seemed that the fusion reactions were occurring at a slower rate due to the weaker gravitational pull in the low mass star.

Observations for high mass star:

To simulate gravity pushing light elements together in a high mass star, I will move my fingers more rapidly towards the Fe [26] nucleus, increasing the force of attraction quickly.

Fusion reactions were occurring much more rapidly in the high mass star than in the low mass star.

It was easier to get lighter nuclei to stick together and form heavier nuclei in the high mass star, as the stronger gravitational pull allowed for more efficient fusion.

The game was more challenging, as the rapid movement required to simulate the strong gravity made it difficult to control and aim the nuclei accurately.

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Answer:

200.

Explanation:

Answer:

To find the 95% confidence interval for the true mean breaking strength of all cables produced by the manufacturer, we can use the formula:

Confidence Interval = Sample Mean ± (Critical Value * Standard Error)

First, let's calculate the standard error, which is the standard deviation divided by the square root of the sample size:

Standard Error = Standard Deviation / √(Sample Size)

= 92 / √(90)

≈ 9.685

Next, we need to determine the critical value corresponding to a 95% confidence level. Since the sample size is large (n > 30), we can use the z-table. The z-value for a 95% confidence level is approximately 1.96.

Now we can calculate the confidence interval:

Confidence Interval = Sample Mean ± (Critical Value * Standard Error)

= 1700 ± (1.96 * 9.685)

Lower Limit = 1700 - (1.96 * 9.685)

≈ 1679.69

Upper Limit = 1700 + (1.96 * 9.685)

≈ 1720.31

Therefore, the 95% confidence interval for the true mean breaking strength of all cables produced by this manufacturer is approximately (1679.7, 1720.3). The lower limit is 1679.7 pounds, and the upper limit is 1720.3 pounds.

The effect of enlightenment ideas on attitudes toward government among the growing educated middle class in western Europe and the European colonies in the Americas is that;

It caused Europeans to question the divine right of kings to rule their subjects

We are dealing with European culture and colonies of which it is noted that the European culture was one that was largely influenced by the enlightenment effect on ideas that occurred in the early part of the 18th Century.

Lastly, this Era empowered more people who advocated and adopted a democratic government among the European nations barring a few.

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Answer:

i think its true tho

Explanation:

Answer:

True

Explanation:

I’m just smart like that lol

Answer: Thanks!

Explanation:

Have a wonderful day!

Answer: the answer is “before”

Answer:

It is the concept of surface tension that helps the coin to float on the top of the water in the glass. The surface tension acts just opposite to the gravitational force and that is why when any metal placed in the water it will float and come on the surface

Explanation:

Answer:

All matter is made of particles?

Explanation:

Obviously, not everything is solid or liquid, and for example a chair is not made of cells.

The invention of the seismograph allow scientists to predict the earthquake. The correct option is 2.

Seismographs are devices that record the movement of the ground during an earthquake. They are installed in the ground all over the world as part of a seismographic network.

Sensitive seismographs, which magnify ground motions, can detect strong earthquakes from anywhere on the planet.

Seismograph stations' data can be used to determine the time, location, and magnitude of an earthquake.

The seismologist can tell how far away the earthquake was and how powerful it was by studying the seismogram.

This record does not tell the seismologist where the epicenter was, only that the earthquake occurred a certain number of miles or kilometers away from that seismograph.

Thus, the correct option is 2.

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Taking into account the definition of percent by mass, the percent O and the percent C in limestone are 48% and 12% respectively.

One way to express the composition of the solution is the percent by mass.

The percent by mass (or weight) of a solution is the number of grams of solute in every 100 grams of solution.

The percentage by mass is calculated as the mass of the element or solute divided by the mass of the compound or solute, the result of which is multiplied by 100 to express it as a percentage:

\(percentage by mass=\frac{mass of solute}{mass of compound} x100\)

In this case, you know:

Then, the percent O is:

\(percentage by mass of O=\frac{1.80 g}{3.75 g} x100\)

percentage by mass of O= 48%

And the percent C is:

\(percentage by mass of C=\frac{0.450 g}{3.75 g} x100\)

percentage by mass of C= 12%

Finally, the percent O and the percent C in limestone are 48% and 12% respectively.

Learn more:

Answer:

The answer for the question is A

Answer:

Hey love your answer is A <3

Explanation:

Answer:

What are the scenarios?

Explanation:

Answer:

im sry i dont understand if quetsion is actual one that needs help or a free point one

if actual one im sry

if not thx

Explanation:

Answer:

B. -24

Explanation:

\((5+3i)(-2-4i)\) expands to \(-10 -20i -6i - 12i^2\)

i is the square root of -1, so the \(i^2\) will simplify further and make the equation:\(-10 -20i-6i+12\).

This can be simplified because there are 2 constants, -10 and +12, as well as 2 coefficients to the same variable.

So, the equation becomes:

\(2-26i\)

The question asks of you, what is a+b from the parent expression a+bi.

b is the coefficient that is linked with the variable i.

a has no variable, so it must be the constant.

Here, the value of the "b" coefficient is -26. And the value of the constant is positive 2.

So we have to plug these 2 values into the equation a+b:

\(2+(-26)\)

This solves out as, -24

So, the answer to this question is B.

The value of a + b for i = square root -1 is -24 (Option B)

To determine the value of a + b, we'll begin by obtaining the value of a and b. This can be obtained as illustrated below

(5 + 3i)(-2 - 4i) = a + bi

Expand

5(-2 - 4i) + 3i(-2 - 4i) = a + bi

-10 - 20i - 6i - 12i² = a + bi

-10 - 26i - 12i² = a + bi

But

i = √-1

i² = -1

Thus, we have:

-10 - 26i - 12(-1) = a + bi

-10 - 26i + 12 = a + bi

-10 + 12 - 26i = a + bi

2 - 26i = a + bi

From the above,

Therefore,

a + b = 2 + (-26)

a + b = 2 - 26

a + b = -24

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Answer: Below:

Explanation:

2 + 3 = 5

5 + 2 = 7

You add the previous number to the current one to get the next number

so the whole set is:

2, 5, 7, 12, 19, 31, 50, 81, 131, 211, 342...

Answer:

To find a 90 percent confidence interval for the population mean of the workers' monthly income in the factory, you can use the formula:

Confidence interval = sample mean ± (critical value * standard error)

First, you need to find the critical value corresponding to a 90 percent confidence level. Since the sample size is large (n = 100), we can use the Z-distribution. For a 90 percent confidence level, the critical value is approximately 1.645.

Next, you calculate the standard error, which is the standard deviation of the sample divided by the square root of the sample size:

Standard error = standard deviation / √(sample size)

Standard error = 20 / √(100)

Standard error = 20 / 10

Standard error = 2

Now you can substitute the values into the confidence interval formula:

Confidence interval = 400 ± (1.645 * 2)

Calculating the confidence interval:

Lower bound = 400 - (1.645 * 2) = 400 - 3.29 = 396.71

Upper bound = 400 + (1.645 * 2) = 400 + 3.29 = 403.29

The 90 percent confidence interval for the population mean of the workers' monthly income is approximately 396.71 to 403.29 birr.

Explanation:

Interpretation: We are 90 percent confident that the true population mean of the workers' monthly income in the factory falls within the range of 396.71 to 403.29 birr. This means that if you were to take multiple samples and calculate confidence intervals for each sample, approximately 90 percent of those intervals would contain the true population mean.

Answer:

Ok I'm not sure If I'm going to know the answers of the question but I'm going to try my best to help you

Answer:the beginning of a formula is a = sign

Explanation: hoped that helped and do great on your SAT

The intervals suggest that both income and the age of the oldest family automobile are significantly associated with the odds of buying a new car.

How to explain the hypothesis

a. The confidence intervals for the odds ratio of buying a new car for families whose incomes differ by 20 thousand dollars and for the age of the oldest family automobile are as follows:

Income: (1.25, 3.75)

Age of oldest automobile: (1.10, 1.90)

These intervals suggest that both income and the age of the oldest family automobile are significantly associated with the odds of buying a new car.

b. The Wald test for whether X2, age of oldest family automobile, can be dropped from the regression model is as follows:

Test statistic = 2.25

P-value = 0.13

Since the P-value is greater than 0.05, we cannot reject the null hypothesis that X2 does not have a significant effect on the odds of buying a new car. Therefore, we cannot conclude that X2 can be dropped from the regression model.

c. The likelihood ratio test for whether X2, age of oldest family automobile, can be dropped from the regression model is as follows:

Test statistic = 2.25

P-value = 0.13

This result is identical to the result obtained for the Wald test in part (b). This is because the Wald test and the likelihood ratio test are asymptotically equivalent, meaning that they will have the same distribution as the sample size gets larger.

d. The likelihood ratio test for whether the following three second-order terms, the square of annual family income, the square of the age of the oldest family automobile, and the interaction between income and age, can be dropped from the regression model is as follows:

Test statistic = 12.6

P-value = 0.002

Since the P-value is less than 0.05, we can reject the null hypothesis that these three terms do not have a significant effect on the odds of buying a new car. Therefore, we can conclude that these three terms cannot be dropped from the regression model.

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