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Zigmanuir [339]
3 years ago
10

I need the answer for this one

Mathematics
1 answer:
Nastasia [14]3 years ago
4 0
Is there a other part to this question?
idk what Anna's speed is
but I'm guessing 16 cuz it's the biggest number there and hers has to be faster than Anna's....?
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Rewrite 7 − 8 using the additive inverse and display the new expression on a number line
Vilka [71]
When we do the additive inverse property...we want to end up with a 0...so the inverse of 7 is -7 and the inverse of -8 is +8....we now have our new expression

-7 + 8

-----|-----|-----|-----|-----|-----|-----|-----|-----|-----|-----|-----|-----|-----|-----|-----|-----
     -7    -6    -5  -4    -3    -2    -1    0     1      2    3     4     5      6    7     8
6 0
3 years ago
Help please hurry!!!!!!!!!!!!!!!!!!!!!!!!! What is a correct name for the angle shown?
Pavlova-9 [17]

Answer:

Angle RTS

Step-by-step explanation

Say it out loud it goes, RS, ST.

If you put RS and ST together the angle RTS

3 0
2 years ago
Simplify ½of(3/5-1/4)​
liq [111]

Answer:

\frac{7}{40}

6 0
2 years ago
Read 2 more answers
Which problem is being modeled on the number line? helppp
PIT_PIT [208]

Answer:

4 is

Step-by-step explanation:

3 0
3 years ago
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The mean weight of an adult is 69 kilograms with a variance of 121. If 31 adults are randomly selected, what is the probability
amid [387]

Answer:

0.2236 = 22.36% probability that the sample mean would be greater than 70.5 kilograms.

Step-by-step explanation:

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

Also, important to remember that the standard deviation is the square root of the variance.

Normal probability distribution:

Problems of normally distributed samples are 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}}

In this problem, we have that:

\mu = 69, \sigma = \sqrt{121} = 11, n = 31, s = \frac{11}{\sqrt{31}} = 1.97565

What is the probability that the sample mean would be greater than 70.5 kilograms?

This is 1 subtracted by the pvalue of Z when X = 70.5. So

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

By the Central limit theorem

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

Z = \frac{70.5 - 69}{1.97565}

Z = 0.76

Z = 0.76 has a pvalue of 0.7764

1 - 0.7764 = 0.2236

0.2236 = 22.36% probability that the sample mean would be greater than 70.5 kilograms.

8 0
3 years ago
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