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zavuch27 [327]
3 years ago
5

What is the smallest possible slope for a tangent without using calculus?

Mathematics
1 answer:
jekas [21]3 years ago
4 0
It would probably depend on what you mean by "smallest". If it means "smallest in magnitude", then of course the smallest slope you can have is zero.
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Sara wants to find the input value that produces the same output for the functions represented by the tables.
tino4ka555 [31]

Answer

The right answer is 2.

Step-by-step explanation:

As g(x) = 2x - 3

g(2) = 2(2) - 3

      = 4 - 3

      = 1

where, f(2) = g(2)

so 2 is the correct answer.

3 0
3 years ago
How should this model be completed to represent 605 ÷ 18?
rosijanka [135]

Answer:

Check the attached image

4 0
2 years ago
A Government company claims that an average light bulb lasts 270 days. A researcher randomly selects 18 bulbs for testing. The s
Fofino [41]

Answer:

31.92% probability that 18 randomly selected bulbs would have an average life of no more than 260 days

Step-by-step explanation:

To solve this question, we need to understand the normal probability distribution and the central limit theorem.

Normal probability distribution

When the distribution is normal, we use the z-score formula.

In a set with mean \mu and standard deviation \sigma, the zscore of a measure X is given by:

Z = \frac{X - \mu}{\sigma}

The Z-score measures how many standard deviations the measure is from the mean. After finding the Z-score, we look at the z-score table and find the p-value associated with this z-score. This p-value is the probability that the value of the measure is smaller than X, that is, the percentile of X. Subtracting 1 by the pvalue, we get the probability that the value of the measure is greater than X.

Central Limit Theorem

The Central Limit Theorem estabilishes that, for a normally distributed random variable X, with mean \mu and standard deviation \sigma, the sampling distribution of the sample means with size n can be approximated to a normal distribution with mean \mu and standard deviation s = \frac{\sigma}{\sqrt{n}}.

For a skewed variable, the Central Limit Theorem can also be applied, as long as n is at least 30.

For a proportion p in a sample of size n, the sampling distribution of the sample proportion will be approximately normal with mean \mu = p and standard deviation s = \sqrt{\frac{p(1-p)}{n}}

In this question, we have that:

\mu = 270, \sigma = 90, n = 18, s = \frac{90}{\sqrt{18}} = 21.2

What is the probability that 18 randomly selected bulbs would have an average life of no more than 260 days?

This is the pvalue of Z when X = 260. So

Z = \frac{X - \mu}{\sigma}

By the Central Limit Theorem

Z = \frac{X - \mu}{s}

Z = \frac{260 - 270}{21.2}

Z = -0.47

Z = -0.47 has a pvalue of 0.3192.

31.92% probability that 18 randomly selected bulbs would have an average life of no more than 260 days

5 0
3 years ago
And simplify this too ​
Andrew [12]

Answer:

-5x^4

Step-by-step explanation:

Cube root of -125 is -5

Cube root of n^12 is n^4

6 0
3 years ago
Read 2 more answers
A graph of a system of two linear equations is shown. Write the system of linear equations represented by the graph
DiKsa [7]
Line1: y = -x + 2
Line2: y = 2x - 1

Solution: (1,1)
8 0
3 years ago
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