A master plan is devised for

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Answer 1

Answer: A master plan is devised for long-range goals. A master plan is intended to serve as aguide for the development of the entities (companies, corporations, governmental offices) for at least 10 years and frequently more (may be 20 years). Usually, of course, master plans deal with growing vision in some sense: more production or more service provision. The long-term goals are will be transformed into short-terms objectives that must be addressed step-by-step to approach to the long-term goals.

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Factorise fully the followingA) 2x+10B) 5x-15C) 8x+6D) 12x-8
Which statement is true about Ralph’s skiing goal?
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Kyle rides his bicycle 15 mph for 2 hours how far does he travel

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Answer:

Step-by-step explanation:

Since 64.25 is for five dozen roses, we need to know what 1 dozen is. First we have to divide 64.25/5. That is equal to 12.85.

Boom! Theres your answer

According to the Central Limit Theorem, a) in a sufficiently large random sample, the distribution of a random variable X, with mean μ and standard deviation σ, is a normal distribution with mean μ and standard deviation σ/sqrt(n)b) The Central Limit Theorem does not apply to heavily skewed distributions.
True or False?

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The statement is True. According to the Central Limit Theorem, in a sufficiently large random sample, the distribution of a random variable X, with mean μ and standard deviation σ, is a normal distribution with mean μ and standard deviation σ/sqrt(n).

1. The Central Limit Theorem states that the distribution of the sample means of a large sample size will approach a normal distribution, regardless of the original distribution of the population from which the sample is drawn.
2. For a sufficiently large sample size, the mean of the sample means will approach the population mean (μ) and the standard deviation of the sample means will approach the population standard deviation divided by the square root of the sample size (σ/sqrt(n)).
3. Therefore, in a sufficiently large random sample, the distribution of a random variable X, with mean μ and standard deviation σ, is a normal distribution with mean μ and standard deviation σ/sqrt(n).

This is the case because the Central Limit Theorem states that the distribution of sample means is approximately normal, regardless of the original distribution of the population from which the sample is drawn.

To know more about central limit theorem, refer here:

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True so there is the answer

What is the approximate value of the function at x = 0?

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The answer is approximately -0.3 according to the graph.

What is the length of each side of a square that has the same area as a rectangle that has a length of 12.2 in. and a width of 16.6 in.?Round to the nearest tenth.