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kifflom [539]
3 years ago
13

I need help asap PLEaSSSSSSSSAE

Mathematics
2 answers:
chubhunter [2.5K]3 years ago
8 0
It’s B because with the point (100,340), 100 represents the amount of corn and 340 is the price for 100 bushels of corn. So, divide 340 by 100 and you get 3.40 which is the price for one bushel
Talja [164]3 years ago
3 0

Answer:

c

Step-by-step explanation:

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would set a new school record? A number line going from 515 to 521. An open circle is at 518. Everything to the left of the circ
Rudik [331]

Answer:

C

Step-by-step explanation:

6 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
A car advertisement claims that a certain car can accelerate from rest to 70 km/hr in 7 seconds find the car acceleration
iVinArrow [24]

Answer:

acceleration \approx 2.78\,\,\frac{m}{s^2}

Step-by-step explanation:

The acceleration is the change in velocity per unit of time.

Therefore to have this rate in appropriate units that can combine, we re-write the change from 0 to 70 km/h in meters per second using:

70 \frac{km}{h} = \frac{70000}{3600} \frac{m}{s}

so in this case the acceleration becomes:

accel=\frac{change\,\,vel}{change\,\,time} =\frac{70000m}{3600\,*7\,s^2} \approx 2.78\,\,\frac{m}{s^2}

7 0
3 years ago
How do I expand the following equation with the binomial theorem?
Vsevolod [243]

Answer:

16x^4+32x^3+24x^2+8x+1

Step-by-step explanation:

(2x+1)^4

(2x+1)*(2x+1)*(2x+1)*(2x+1)

4 0
2 years ago
What is the exact volume of the cone?<br><br> H = 6 cm<br> R = 9 cm
faltersainse [42]

Answer:

508.68 or 508.7

Step-by-step explanation:

V=1/3(3.14)(9)^2(6)

(3.14)(81) x 6

(3.14)(486)

1/3(1526)

(divide by 3)= 508.68

6 0
4 years ago
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