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Blababa [14]
3 years ago
14

The junior class at Central High School has 182 students. The debate club at the school has 14 members who are in the junior cla

ss. How many students in the junior class are not on the debate team?
a.13
b.42
c.168
d.178
Mathematics
2 answers:
krek1111 [17]3 years ago
8 0

Answer:

13

Step-by-step explanation:

I believe you would take the number of students and divide by the number of members

MaRussiya [10]3 years ago
3 0
182- 14=168
c. 168 is the corect answer
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I'm not sure what's the answer
kow [346]

Answer:

m=17/40  \frac{17}{40}

Step-by-step explanation:

So you 5/7m - 1/7 = 9/56 \frac{5}{7}m - \frac{1}{7} = \frac{9}{56}

You Simplify both sides Then

well I Don´t know I hope this helped u, I tried ^^¨

8 0
3 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
Estimate of 2,854x9 help me find it and you’ll get ten points
iVinArrow [24]
The answer to this question is 25,686
8 0
3 years ago
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Serhud [2]
7 Did occurred twice. So 7 is the mode.
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2 years ago
: name the three characteristics A graph of proportional relationship has three important characteristics
avanturin [10]

Answer:

A straight line through the origin, and with a positive gradient (sloping from bottom left to top right)

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