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docker41 [41]
2 years ago
9

Can you help with this please.

Mathematics
2 answers:
Lubov Fominskaja [6]2 years ago
8 0

Answer:

<u>8.1 units</u>

Step-by-step explanation:

<u>Distance Formula</u>

  • d = √(x₂ - x₁)² + (y₂ - y₁)²

<u>Solving</u>

  • d = √(14 - 10)² + (12 - 5)²
  • d = √4² + 7²
  • d = √65
  • d = <u>8.1 units</u> (nearest tenth)
andrew-mc [135]2 years ago
5 0

\huge\underline{\red{A}\blue{n}\pink{s}\purple{w}\orange{e}\green{r} -}

  • Given - <u>two </u><u>points </u><u>P </u><u>(</u><u> </u><u>5</u><u> </u><u>,</u><u> </u><u>1</u><u>0</u><u> </u><u>)</u><u> </u><u>and </u><u>R </u><u>(</u><u> </u><u>1</u><u>2</u><u> </u><u>,</u><u> </u><u>1</u><u>4</u><u> </u><u>)</u><u> </u><u>on </u><u>the </u><u>c</u><u>artesian </u><u>plane</u>

  • To find - <u>distance </u><u>between </u><u>the </u><u>two </u><u>points</u>

<u>Using </u><u>the </u><u>distance </u><u>formula</u> ~

\qquad\underline{d(PR) =  \sqrt{( x_{2}  -  x_{1}) {}^{2}  + ( y_{2} -  y_{1}) {}^{2}   }}  \\  \\

we have ,

\longrightarrow x_{1} = 5 \\ \longrightarrow x_{2} = 12 \\  \\  \longrightarrow \: y_{1} = 10 \\  \longrightarrow \: y_{2} = 14

<u>substituting</u><u> </u><u>the </u><u>values </u><u>in </u><u>the </u><u>formula </u><u>,</u><u> </u><u>we </u><u>get</u>

d(PR) =  \sqrt{(12-5) {}^{2} + (14-10) {}^{2}  }  \\  \\ \implies \: d(PR) =  \sqrt{(7) {}^{2}  + ( 4) {}^{2} }  \\  \\ \implies \: d(PR) =  \sqrt{49 + 16}  \\  \\ \implies \: d(PR) =  \sqrt{65}  \\  \\ \implies \: d(PR) = 8.1 \: units \: (approx)

hope helpful :)

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An orange juice producer buys oranges from a large orange grove that has one variety of orange. The amount of juice squeezed fro
strojnjashka [21]

Answer:

a) 0.10565

b) The two values = 4.61712 and

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c) 4.64088

Step-by-step explanation:

The z score formula we use to solve when given a random number of samples=

The formula for calculating a z-score is is z = (x-μ)/σ/√n

where x is the raw score

μ is the population mean

σ/√n is standard error

σ is the population standard deviation

n = random number of samples

a. What is the probability that the sample mean amount of juice will be at least 4.60 ounces?

z = (x-μ)/σ/√n

x = 4.60

μ = 4.70

σ = 0.40

n = 25

z = 4.60 - 4.70/0.40/√25

z = -0.10/0.40/5

z = -1.25

P-value from Z-Table:

P(x ≤ 4.60)

= P(x ≤ 4.60)

= P(z = -1.25)

= 0.10565

Therefore, the probability that the sample mean amount of juice will be at least 4.60 ounces is 0.10565

b. The probability is 70% that the sample mean amount of juice will be contained between what two values symmetrically distributed around the population mean?

The probability of 70% = 0.70

The z score for 0.70 = 1.036

This means, -1.036 and +1.036 gives a probability (0.70) or confidence level of 70%

We are to find x(raw score)

We solve using z score formula

For z = +1.036

z = (x-μ)/σ/√n

x = ?

μ = 4.70

σ = 0.40

n = 25

1.036 = x - 4.70/0.40/√25

1.036 = x - 4.70/0.08

Cross Multiply

1.036 × 0.08 = x - 4.70

0.08288 = x - 4.70

0.08288 + 4.70 = x

x = 4.78288

For z = -1.036

z = (x-μ)/σ/√n

x = ?

μ = 4.70

σ = 0.40

n = 25

-1.036 = x - 4.70/0.40/√25

-1.036 = x - 4.70/0.08

Cross Multiply

-1.036 × 0.08 = x - 4.70

-0.08288 = x - 4.70

-0.08288 + 4.70 = x

= 4.61712

Therefore, the two values = 4.61712 and

4.78288

c. The probability is 77% that the sample mean amount of juice will be greater than what value?

We are told to find the value that the sample mean is greater than

The z score for a P(x > z)

= P(x > 0.77)

= -0.739

Using z score formula, we find x first

z = (x-μ)/σ/√n

x = ?

μ = 4.70

σ = 0.40

n = 25

-0.739 = x - 4.70/0.40/√25

-0.739 = x - 4.70/0.08

Cross Multiply

-0.739 × 0.08 = x - 4.70

-0.05912 = x - 4.70

-0.05912 + 4.70 = x

x = 4.64088

Therefore, the value that the probability is 77% that the sample mean amount of juice will be greater than is 4.64088

5 0
4 years ago
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