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LiRa [457]
3 years ago
14

Which word describes the slope of the line?

Mathematics
2 answers:
Aneli [31]3 years ago
6 0
B) negative. Is the answer
EastWind [94]3 years ago
4 0

Answer: To me it (Zero) or (Undefined)

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Do the ratios 20/10 and 1/2 form a proportion?
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Yes . Divide by 10 for 10/20 to get 1/2.

10/10= 1

20/10= 2

10/20= 1/2

6 0
3 years ago
What is -7 plus 7 equal too
nikklg [1K]

Answer:

The answer is 0

Step-by-step explanation:

Have a nice day

8 0
2 years ago
There is a bag with only red marbles and blue marbles. The probability of randomly choosing a red marble is 3 8 . There are 18 r
sweet-ann [11.9K]

Answer:

There are 48 marbles in the bag

Step-by-step explanation:

red: blue : total

3                   8

there are 18 red

18/3 = 6

Multiply everything by 6

3*6                 8*6

18                    48

There are 48 marbles in the bag

8 0
3 years ago
Tye is making trail mix with 3 cups of nuts for every 4 cups of granola. if tye has 6 cups of nuts, how many cups of granola sho
lyudmila [28]
8 cups of granola for 6 cups of nits
8 0
2 years ago
2. When a large truckload of mangoes arrives at a packing plant, a random sample of 150 is selected and examined for
kirza4 [7]

a) The 90% confidence interval of the percentage of all mangoes on the truck that fail to meet the standards is: (7.55%, 12.45%).

b) The margin of error is: 2.45%.

c) The 90% confidence is the level of confidence that the true population percentage is in the interval.

d) The needed sample size is: 271.

<h3>What is a confidence interval of proportions?</h3>

A confidence interval of proportions has the bounds given by the rule presented as follows:

\pi \pm z\sqrt{\frac{\pi(1-\pi)}{n}}

The margin of error is given by:

M = z\sqrt{\frac{\pi(1-\pi)}{n}}

The variables are listed as follows:

  • \pi is the sample proportion, which is also the estimate of the parameter.
  • z is the critical value.
  • n is the sample size.

The confidence level is of 90%, hence the critical value z is the value of Z that has a p-value of \frac{1+0.90}{2} = 0.95, so the critical value is z = 1.645.

The sample size and the estimate are given as follows:

n = 150, \pi = \frac{15}{150} = 0.1

The margin of error is of:

M = z\sqrt{\frac{0.1(0.9)}{150}} = 0.0245 = 2.45\%

The interval is given by the estimate plus/minus the margin of error, hence:

  • The lower bound is: 10 - 2.45 = 7.55%.
  • The upper bound is: 10 + 2.45 = 12.45%.

For a margin of error of 3% = 0.03, the needed sample size is obtained as follows:

M = z\sqrt{\frac{\pi(1-\pi)}{n}}

0.03 = 1.645\sqrt{\frac{0.1(0.9)}{n}}

0.03\sqrt{n} = 1.645\sqrt{0.1(0.9)}

\sqrt{n} = \frac{1.645\sqrt{0.1(0.9)}}{0.03}

(\sqrt{n}})^2 = \left(\frac{1.645\sqrt{0.1(0.9)}}{0.03}\right)^2

n = 271 (rounded up).

More can be learned about the z-distribution at brainly.com/question/25890103

#SPJ1

3 0
1 year ago
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