A boat heading out to sea starts out at Point AA, at a horizontal distance of 1023 feet from a lighthouse/the shore. From that point, the boat’s crew measures the angle of elevation to the lighthouse’s beacon-light from that point to be 11^{\circ} ∘ . At some later time, the crew measures the angle of elevation from point BB to be 2^{\circ} ∘ . Find the distance from point AA to point BB. Round your answer to the nearest foot if necessary.

Percentage for the runners with heart rate of above 140 is 50.199% probability.

To calculate percentage of runners heart rate;

Mean, μ = 104

Standard deviation, σ = 12.5

Probability = P(X > 140)

P(X > 140) = [tex]1 - P (\frac{X - μ}{σ} \leq \frac{140 - μ}{σ})[/tex]

P(X > 140) = [tex]1 - P (Z \leq \frac{140 - 104}{12.5})[/tex]

P(X > 140) = [tex]1 - P (Z \leq \ 2.88)[/tex]

For a Z score of 2.88, the cumulative from mean probability and percentile are:

The normal distribution for 2.88 = 0.49801

P(X > 140) = 1 - 0.49801

P(X > 140) = 0.50199

P(X > 140) = 0.50199 x 100

The percentage for the heart rate = 50.199%

The probability of of runners heart rate above 140 is a 50.199% chance.

Learn more on heart rate percent here: https://brainly.com/question/19153235

#SPJ1

Answer:

Sports figures and celebrities have long been viewed as positive role models for many people. On the one hand, they have the power to inspire and motivate others to achieve their goals, as well as provide a sense of belonging to those who look up to them. For example, athletes can demonstrate the importance of hard work, dedication, and discipline needed to succeed in any field. Furthermore, celebrities can show that one can become successful despite their background or circumstances. On the other hand, there are some drawbacks to viewing sports figures and celebrities as role models. For example, they often live extravagant lifestyles and may not be the best examples of how to handle money responsibly. Additionally, their behavior may not be the best representation of the values that should be instilled in young people. Ultimately, while sports figures and celebrities can be inspiring, it is important to remember that they should not be viewed as role models in all aspects of life.

Explanation:

The central bank of a country controls the amount of money in circulation in order to maintain the health of the economy. Banks can regulate the amount of money in circulation by manipulating interest rates.

Economic and financial stability is largely dependent on central banks. In order to achieve low and stable inflation, they implement monetary policy. Following the global financial crisis, central banks have added more tools to their arsenals to address threats to financial stability and control fluctuating exchange rates.

In developing nations, a central bank can be extremely important in creating the financial foundation for growth. A clear and significant activity that falls under this category is the development of local currency and the capital market.

to know more about  economic indicators here:

brainly.com/question/29805891

#SPJ1

Answer:

igneous rocks

The first indication for Franz that a major conflict is developing include the following: C) Prussian soldiers are drilling along his route to school.

A conflict can be defined as any form of misunderstanding, disagreement, or struggle that arises between two (2) or more parties such as the members of a team, employees, etc., especially due to any of the following reasons;

In this context, we can reasonably infer and logically deduce that the first indication for Franz to know that a major conflict is developing would be an information which states that the Prussian soldiers are drilling along the route to Franz's school.

Read more on conflict here: brainly.com/question/5300823

#SPJ1

The error variance can be Illustrated as σ^2 = E(μ^2) = Var(μ) = (1/n) * ∑(y - (b0 + b1x))^2

The simple linear regression model is of the form:

y = b₀ + b₁x + μ

y = the dependent variable

x = the independent variable

b₀ and b₁ = the parameters of the model, and μ is the error term.

The error term represents the difference between the observed value of the dependent variable and the value predicted by the model. In other words, it is the deviation of the observed y from the expected value of y, given the value of x.

The error variance, denoted by σ^2, is a measure of the spread of the error term. It is calculated as the average squared deviation of the error term from its mean value, which is zero:

σ^2 = E(μ^2) = Var(μ) = (1/n) * ∑(y - (b₀ + b₁x))^2

Learn more about regression on:

https://brainly.com/question/25987747

#SPJ1

Complete question

Given the simple linear regression model y=b0+b1xi+µ, derive the error variance.

Answer: oxygen

Explanation:

Paul Ryan tells his audience that he represents "a part of America that includes inner cities, rural areas, suburbs, and factory towns" in order to illustrate that he can connect to a variety of people.

Social connection can lower anxiety and depression, help us regulate our emotions, lead to higher self-esteem and empathy, and actually improve our immune systems. By neglecting our need to connect, we put our health at risk.

Paul Ryan represents a part of America that includes inner cities, rural areas, suburbs, and factory towns. Over the years I have seen and heard from a lot of families, from those running small businesses, and from people who are in need.

Therefore, Paul Ryan tells his audience that he represents "a part of America that includes inner cities, rural areas, suburbs, and factory towns" in order to illustrate that he can connect to a variety of people.

To learn more about Paul Ryan, refer to the link:

https://brainly.com/question/12484348

#SPJ1

Answer:

it does

Explanation:

Answer:

Once a year, a college goes on an expedition trip to do charity work abroad. Last year’s trip was to help set up a community garden in South America. This year’s trip will be to Kenya. The trips are expensive, but students can save a lot of money by working together and doing fundraising events.

Answer:

Weathering and Erosion