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Evgesh-ka [11]
3 years ago
12

Help me i´ll mark 15 points you dont have to do work just answer :P

Mathematics
2 answers:
lina2011 [118]3 years ago
5 0
11.74 im pretty sure this is the answer i remember doing thia
prohojiy [21]3 years ago
4 0

Answer:

I'm pretty sure it is 11.74 in ^2

Step-by-step explanation:

Im sorry if I'm wrong

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Please tell me what is (7+3x)4
Savatey [412]

Answer:

28+12x

Step-by-step explanation:

Multiply 7 with 4

Multiply 3x with 4

5 0
3 years ago
Read 2 more answers
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
Help me please.........​
Shalnov [3]

Answer:

um 21

Step-by-step explanation:

4 0
2 years ago
What is 656x106 rounded <br> ​
Mila [183]

Answer:

69536

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7 0
3 years ago
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A new shopping mall records 120 total shoppers on their first day of business. Each day after that, the number of shoppers is 10
Iteru [2.4K]

Answer:

1,139\ shoppers

Step-by-step explanation:

we know that

In this problem we have a exponential function of the form

y=a(b)^{x}

where

a is the initial value or y-intercept

b is the base of the exponential function

r is the rate in decimal form

b=(1+r)

In this problem we have

x ----> the number of days

y ----> the number of shoppers

a=120

r=10%=10/100=0.10

b=1+0.10=1.10

substitute the values

y=120(1.10)^{x}

First day

y=120

Second day

For x=1 day

substitute the value of x in the equation and solve for y

y=120(1.10)^{1}=132

Third day

For x=2 days

y=120(1.10)^{2}=145

Fourth day

For x=3 days

y=120(1.10)^{3}=160

Fifth day

For x=4 days

y=120(1.10)^{4}=176

Sixth day

For x=5 days

y=120(1.10)^{5}=193

Seventh day

For x=6 days

y=120(1.10)^{6}=213

Adds the numbers

120+132+145+160+176+193+213=1,139

3 0
3 years ago
Read 2 more answers
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