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uysha [10]
4 years ago
8

Make the following statement an equations (3,-3) m=3

Mathematics
1 answer:
stepan [7]4 years ago
4 0

Answer:

We conclude that the line of equation containing the point (3, -3) with the slope m =3 will be:

  • y=3x-12

The graph of the line is also attached.

Step-by-step explanation:

Given

  • The point (3,-3)
  • The slope m = 3

Using the point-slope form of the line equation

y-y_1=m\left(x-x_1\right)

where

  • m is the slope of the line
  • (x₁, y₁) is the point

substituting the values m = 3 and the point (x₁, y₁) = (3,-3)

y-y_1=m\left(x-x_1\right)

y-\left(-3\right)=3\left(x-3\right)

Apply rule: -(-a) = a

y+3=3\left(x-3\right)

subtract 3 from both sides

y+3-3=3\left(x-3\right)-3

simplify

y=3x-12

Therefore, we conclude that the line of equation containing the point (3, -3) with the slope m =3 will be:

  • y=3x-12

The graph of the line is also attached.

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On a given planet, the weight of an object varies directly with the mass of the object. suppose that an object whose mass is 5 k
agasfer [191]

Since the mass and weight vary directly, they are linked by an expression like


w = km


where w is the weight, m is the mass and k is the constant which gives the proportion.


Approach 1:

We may deduce the value of k from the first example: if 5kg weight 20N, then


20 = 5k \implies k = \frac{20}{5} = 4


And once k is known, solve the second example for m:


32 = 4m \implies m = \frac{32}{4} = 8


Approach 2:

Since the two quantity vary directly, they are in proportion. So, we can write a proportion like


mass1 : weight1 = mass2 : weight2


and solve it for mass2:


5 : 20 = m : 32 \implies m = \frac{5\cdot 32}{20} = \frac{32}{4} = 8


Of course, both approaches give the same result.

6 0
3 years ago
Emily had 10 carrot sticks to snack on during her hike. She ate 6 of the sticks. Her friend gave her 3 more sticks after the hik
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Step-by-step explanation:

6 0
3 years ago
) The National Assessment of Educational Progress (NAEP) gave a test of basic arithmetic and the ability to apply it in everyday
Vsevolod [243]

Answer:

a) The standard deviation of this sampling distribution is 2.07.

b) The missing number is 4.14.

c) The 95% confidence interval for the population mean score μ based on this one sample is between 267.86 and 276.14.

Step-by-step explanation:

To solve this question, we need to understand the Empirical Rule and the Central Limit Theorem.

Empirical Rule:

The Empirical Rule states that, for a normally distributed random variable:

68% of the measures are within 1 standard deviation of the mean.

95% of the measures are within 2 standard deviation of the mean.

99.7% of the measures are within 3 standard deviations of the mean.

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 question:

\mu = 272, n = 840, \sigma = 60

(a) If we take many samples, the sample mean x⎯⎯⎯ varies from sample to sample according to a Normal distribution with mean equal to the unknown mean score μ in the population. What is the standard deviation of this sampling distribution?

Using the Central Limit Theorem:

s = \frac{\sigma}{\sqrt{n}} = \frac{60}{\sqrt{840}} = 2.07

The standard deviation of this sampling distribution is 2.07.

(b) According to the 95 part of the 68-95-99.7 rule, 95% of all values of x⎯⎯⎯ fall within _______ on either side of the unknown mean μ. What is the missing number?

Within 2 standard deviations of the mean.

So, 2*2.07 = 4.14

The missing number is 4.14.

(c) What is the 95% confidence interval for the population mean score μ based on this one sample?

Within 4.14 of the mean

272 - 4.14 = 267.86

272 + 4.14 = 276.14

The 95% confidence interval for the population mean score μ based on this one sample is between 267.86 and 276.14.

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3 years ago
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