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Studentka2010 [4]
2 years ago
7

The length of a rectangle is 3 yd longer than its width.

Mathematics
1 answer:
makkiz [27]2 years ago
6 0
Here for your points sorryyyyyy❤️
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10/2=5
5 x 1600 = 8000 milligrams
               = 8 grams
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3 years ago
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In 2004​, 550,000 acres of farmland in a region were devoted to growing nuts. By 2011​, the number of acres used to grow nuts ha
Romashka-Z-Leto [24]

Answer:

41428.57

Step-by-step explanation:

Average rate of change=(y2-y1)/(x2-x1)

(840,000-550000)/(11-4)

=41428.57

3 0
3 years ago
10. A random sample of 10 fibers is taken from a collection of 92 fibers that consists of 43 fibers of polymer A, 17 fibers of p
vazorg [7]

Answer:

0.1150 = 11.50% probability that the sample does not contain any fibers of polymer B

Step-by-step explanation:

Hypergeometric distribution:

The probability of x sucesses is given by the following formula:

P(X = x) = h(x,N,n,k) = \frac{C_{k,x}*C_{N-k,n-x}}{C_{N,n}}

In which:

x is the number of sucesses.

N is the size of the population.

n is the size of the sample.

k is the total number of desired outcomes.

Combinations formula:

C_{n,x} is the number of different combinations of x objects from a set of n elements, given by the following formula.

C_{n,x} = \frac{n!}{x!(n-x)!}

In this question:

Fibers are chosen without replacement, which means that we use the hypergeometric distribution.

92 fibers means that N = 92

Sample of 10 means that n = 10

No polymeter B which means that x = 0

17 fibers of polymeter B which means that k = 17

a. What is the probability that the sample does not contain any fibers of polymer B

This is P(X = 0).

P(X = x) = h(x,N,n,k) = \frac{C_{k,x}*C_{N-k,n-x}}{C_{N,n}}

P(X = 0) = h(0,92,10,17) = \frac{C_{17,0}*C_{75,10}}{C_{92,10}} = 0.1150

0.1150 = 11.50% probability that the sample does not contain any fibers of polymer B

4 0
2 years ago
The strength of paper used in the manufacturing of cardboard boxes (y) is related to percentage of hardwood concentration in the
Elena-2011 [213]

Answer:

At a significance level of 0.05, there is enough evidence to claim that there is a significant relationship between x and y.

P-value = 0.003.

Step-by-step explanation:

If we perform a regression analysis relating x and y, we get the best fitting line with equation:

y=15.82x+92.9

and a correlation coefficient r:

r=0.693

We have to test the hypothesis, where the alternative hypothesis claims that there is a relationship between these two variables, and the null hypothesis claiming there is no relationship (meaning that the correlation is not significantly different from 0).

This can be written as:

H_0: \rho=0\\\\H_a:\rho\neq0

where ρ is the population correlation coefficient for x and y.

The significance level is assumed to be 0.05.

The sample size is n=16.

The degrees of freedom are df=14.

df=n-2=16-2=14

The test statistic can be calculated as:

t=\dfrac{r\sqrt{n-2}}{\sqrt{1-r^2}}=\dfrac{0.693\sqrt{14}}{\sqrt{1-(0.693)^2}}=\dfrac{2.593}{0.721}=3.597

For a test statistic t=2.05 and 14 degrees of freedom, the P-value is calculated as:

\text{P-value}=2\cdot P(t>3.597)=0.003

The P-value (0.003) is smaller than the significance level (0.05), so the effect is significant enough.

The null hypothesis is rejected.

At a significance level of 0.05, there is enough evidence to claim that there is a significant relationship between x and y.

3 0
2 years ago
What is the the missing number in this pattern? 7,16,__,34,43
ale4655 [162]

Answer:

25 is your best answer

Step-by-step explanation:

8 0
2 years ago
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