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3 years ago

Select the option that best describes the relationship

Mathematics

1 answer:

WINSTONCH [101]3 years ago

6 0

Answer:

4th one its negative,linear association

Step-by-step explanation:

You might be interested in

Solve the quadratic by factoring.<br> x^2-5x-31=5

torisob [31]

Answer:

$x = - 4\: or \: x = 9$

Step-by-step explanation:

make one side equal to zero:

${x}^{2} - 5x - 36 = 0$

find two factors that multiply to -36 and add to -5 (-9 & 4)

${x }^{2} - 9x + 4x - 36 = 0$

factorise

$x(x - 9) + 4(x - 9) = 0$

$(x + 4)(x - 9) = 0$

solve for x

$x = - 4 \: or \: x = 9$

5 0

4 years ago

Which of the following equations could be used to solve for the tenth term of the following sequence? 15,13,11,9,… A(10)=15+10(-

coldgirl [10]

Answer:

the first one

Step-by-step explanation:

3 0

2 years ago

I NEED HELP PLEASE! :)<br> thanks!

torisob [31]

Since ΔABC ~ ΔEDC, ∠B = ∠D.

Since both triangles appear to be similar, the corresponding angles are the same, and corresponding sides are the same or have the same ratio.

We can write an equation to resemble the problem:

8x + 16 = 120

Solve for x.

8x + 16 = 120

~Subtract 16 to both sides

8x + 16 - 16 = 120 - 16

~Simplify

8x = 104

~Divide 8 to both sides

8x/8 = 104/8

~Simplify

x = 13

Therefore, the answer is 13.

Best of Luck!

6 0

3 years ago

The body temperatures of adults are normally distributed with a mean of 98.6degrees° F and a standard deviation of 0.60degrees°

Schach [20]

Answer:

97.72% probability that their mean body temperature is greater than 98.4degrees° F.

Step-by-step explanation:

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

Normal probability distribution:

Problems of normally distributed samples can be solved using 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 random variable X, with mean $\mu$ and standard deviation $\sigma$ , the sample means with size n of at least 30 can be approximated to a normal distribution with mean $\mu$ and standard deviation $s = \frac{\sigma}{\sqrt{n}}$