All categories

4 years ago

Drag the tiles to the boxes to form correct pairs.

Mathematics

1 answer:

SOVA2 [1]4 years ago

3 0

Answer:

Step-by-step explanation:

Hello

Match the points on the number line with the rational numbers.

a __ -6/8 = -(2 x 3)/(2 x 4) = -3/4

b __ -2/8 = -2/(2 x 4) = -1/4

c __ -4/8 = -4/(4 x 2) = -1/2

d __ 8/8 = 1

e __ 13/8

You might be interested in

Which fraction is equivalent to -3/2

aliina [53]

Answer:

Any fraction that will reduce to -3/2 will be equivalent to -3/2.

Examples:

-6/4

-24/16

8 0

3 years ago

Read 2 more answers

#2) PLEASE HELP WITH QUESTION. MARKING BRAINLIEST + POINTS :}

djverab [1.8K]

An = -15 + 9(n - 1), since the first term is 15 and for each consecutive term we are adding 9 to the previous term

7 0

4 years ago

Rico wants to find the distance between the points (-2,-3) and (2,-5) his work is shown.|-3| + |-5| = 3+5 = 8the distance is 8 u

tino4ka555 [31]

Answer:

Riko is wrong

Step-by-step explanation:

To find the distance of two point, we use the following formula:

A (x1, y1)

B (x1, y2)

AB = $\sqrt{(x2-x1)^{2} + (y2-y1)^{2} }$

In this situation, we have:

A (-2,-3)

B (2,-5)

So the distance is: $\sqrt{(2 - (-2))^{2} + (-5 - (-3))^{2} }$ = $\sqrt{4^{2} + 8^{2} }$ = $\sqrt{80} = 4\sqrt{5}$

Hope it will find you well.

5 0

3 years ago

Read 2 more answers

Suppose data made available through a health system tracker showed health expenditures were $10,348 per person in the United Sta

nignag [31]

Answer:

a) 30.08% probability the sample mean will be within $100 of the population mean.

b) 0% probability the sample mean will be greater than $12,600

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 $s = \frac{\sigma}{\sqrt{n}}$ .