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neonofarm [45]
3 years ago
14

Which expression has the same value as 5 - 3x when x = 4

Mathematics
1 answer:
zysi [14]3 years ago
6 0

Answer:

1.75x?

Step-by-step explanation:

I'm not sure if it has to be multiple numbers

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It represents the rate she is texting per second
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The State Board of Education has $2,183 to buy new calculators. If each calculator costs $37, how many calculators can the board
Tema [17]

Answer:

59

Step-by-step explanation:

They could buy 59

You solve this by dividing the total amount of money ($2183) by the other amount ($37) which is 59

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2 years ago
Sibusiso's car consumes petrol at a rate of 7,6 l/100km. The petrol tank in his car holds 65litres. How far can he ride on a ful
Delicious77 [7]

Answer:

6 +67 _^76 + 9 x 2087 - 9012 = 1000

Step-by-step explanation:

98 + 2000 - 76 = 1000

5 0
2 years ago
Suppose the horses in a large stable have a mean weight of 975lbs, and a standard deviation of 52lbs. What is the probability th
Lubov Fominskaja [6]

Answer:

0.8926 = 89.26% probability that the mean weight of the sample of horses would differ from the population mean by less than 15lbs if 31 horses are sampled at random from the stable

Step-by-step explanation:

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

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 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.

In this problem, we have that:

\mu = 975, \sigma = 52, n = 31, s = \frac{52}{\sqrt{31}} = 9.34

What is the probability that the mean weight of the sample of horses would differ from the population mean by less than 15lbs if 31 horses are sampled at random from the stable?

pvalue of Z when X = 975 + 15 = 990 subtracted by the pvalue of Z when X = 975 - 15 = 960. So

X = 990

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

By the Central Limit Theorem

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

Z = \frac{990 - 975}{9.34}

Z = 1.61

Z = 1.61 has a pvalue of 0.9463

X = 960

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

Z = \frac{960 - 975}{9.34}

Z = -1.61

Z = -1.61 has a pvalue of 0.0537

0.9463 - 0.0537 = 0.8926

0.8926 = 89.26% probability that the mean weight of the sample of horses would differ from the population mean by less than 15lbs if 31 horses are sampled at random from the stable

7 0
3 years ago
Angle W and angle X are congruent. If their sum is 121 degrees, what is the measure of angle X?
Nimfa-mama [501]
< W and < X are congruent....so they are equal.....so if their sum is 121....just divide by 2 for ur answer

121/2 = 60.5.....so < W = 60.5 and < X = 60.5
5 0
3 years ago
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