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2 years ago

Why are we obsessed with superheroes commonlit answers quizlet

1 answer:

7 0

The reason why we are obsessed with superheroes because humans needs someone to lean on and call in times of trouble.

<h3>Why are we obsessed with superheroes?</h3>

Superheroes are known to be Greek gods that helps to answer the problems of human world.

The reason why we are obsessed with superheroes because humans needs someone to lean on and call in times of trouble and also who to look up to.

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If 3x-y=12 what is the value of 8^x over 2^y

Maslowich

4 0

4 years ago

What is the following product? Assume x greater-than-or-equal-to 0 (4 x StartRoot 5 x squared EndRoot 2 x squared StartRoot 6 En

olga2289 [7]

Answer:

Explanation:

7 0

2 years ago

Which of the following are disadvantages to investing in precious metals compared with other retirement cash flows

Stels [109]

One disadvantage of investing in precious metals is that other metals change their values more easily (option C).

<h3>How does the value of metals behave?</h3>

Precious metals such as gold and silver are metals that hardly change their price because they serve as a standard to set the price of other metals.

However, its value is not always the most suitable for making investments. Although they do not lose value over time. Many people prefer to make investments in other metals such as steel or iron because these change their price according to supply and demand.

So in a time of scarcity of these metals, their value will increase dramatically compared to their initial selling price. This phenomenon is not evident in precious metals such as gold.

Note: This question is incomplete because there is some information missing. Here is the complete information:

Options

None of these.
All of these.
NOT precious metals can have their value manipulated more easily.
Precious metals can have their value manipulated more easily.

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7 0

2 years ago

what is the opportunity cost of attending technical school versus attending a 4-year college or university?

Vilka [71]

Opportunity cost is relevant in this situation. Your opportunity basically consists of the full amount of your college expenses plus the money you would've made when you have chosen to work instead of enrolling in school. <u>The opportunity cost of attending college is $260,000.</u>

The potential benefits that even a person, investor, or business forgo while choosing between two possibilities are known as opportunity costs. Opportunity costs can be easily disregarded since they are by nature invisible.

The opportunity cost would be the worth of what you forgo while making a decision among two or more choices. It's a basic principle that applies to both investing and daily life. The opportunity cost in investing would be the amount of cash you can lose by choosing one asset above another.

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3 0

2 years ago

Which of the following conditions will create a biased estimator of a population parameter?.

UkoKoshka [18]

The option that represents the conditions that will create a biased estimator of a population parameter is;

D: The expected value of the estimator is not equal to the population parameter.

<h3>Biased and Unbiased Estimators</h3>

Usually in statistics research, there is what we call population parameters and sampling parameters.

The population parameters represent the full pool from which a sample can be taken while the sample parameters are gotten from the sample taken from the population.

Now, a statistic will be referred to as an unbiased estimator of a population parameter if the mean of the sampling distribution of the statistic is equal to the value of the population parameter.

In contrast to an unbiased estimator, a biased estimator of a population parameter is referred to as such if the mean of the sampling distribution of the statistic is not equal to the value of the population parameter.

The missing options are;

A. The sampling distribution of the estimator is skewed to the left.

B. The sampling distribution of the estimator is skewed to the right.

C. The sampling distribution of the estimator is not the same shape as the distribution of the population parameter.

D. The expected value of the estimator is not equal to the population parameter.

E. The variability of the sampling distribution of the estimator is not equal to the variability of the population parameter.

Read more about biased estimators at; brainly.com/question/7301139

7 0

3 years ago