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shtirl [24]
2 years ago
5

1. Write the equation for a line in point slope form that had a slope of 4 and passes through (1,1)

Mathematics
2 answers:
Dahasolnce [82]2 years ago
8 0

Solution:

<u>Note that:</u>

  • Slope = m = 4
  • Given point: (x₁,y₁) = (1,1) [x₁ = 1; y₁ = 1]
  • Formula: y - y₁ = m(x - x₁)

<u>Use the formula to convert the line in point slope form.</u>

  • y - y₁ = m(x - x₁)
  • y - 1 = 4(x - 1)

The equation of the line (In point slope form) is y - 1 = 4(x - 1).

Neporo4naja [7]2 years ago
7 0
  • (1,1)
  • m=4

\\ \tt\longmapsto y-y_1=m(x-x_1)

\\ \tt\longmapsto y-1=4(x-1)

\\ \tt\longmapsto y-1=4x-4

Extra shots

Standard form

\\ \tt\longmapsto 4x-y-3=0

Slope intercept form

\\ \tt\longmapsto y=4x+3

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The 95% confidence interval for the difference between the proportion of all U.S. teens and adults who use social networking sites is (0.223, 0.297). This means that we are 95% sure that the true difference of the proportion is in this interval, between 0.223 and 0.297.

Step-by-step explanation:

Before building the confidence interval we need to understand the central limit theorem and the subtraction of normal variables.

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.

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Subtraction between normal variables:

When two normal variables are subtracted, the mean is the difference of the means, while the standard deviation is the square root of the sum of the variances.

Sample of 800 teens. 73% said that they use social networking sites.

This means that:

p_T = 0.73, s_T = \sqrt{\frac{0.73*0.27}{800}} = 0.0157

Sample of 2253 adults. 47% said that they use social networking sites.

This means that:

p_A = 0.47,s_A = \sqrt{\frac{0.47*0.53}{2253}} = 0.0105

Distribution of the difference:

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s = \sqrt{s_T^2+s_A^2} = \sqrt{0.0157^2+0.0105^2} = 0.019

Confidence interval:

Is given by:

p \pm zs

In which

z is the zscore that has a pvalue of 1 - \frac{\alpha}{2}.

95% confidence level

So \alpha = 0.05, z is the value of Z that has a pvalue of 1 - \frac{0.05}{2} = 0.975, so Z = 1.96.

Lower bound:

p - 1.96s = 0.26 - 1.96*0.019 = 0.223

Upper bound:

p + 1.96s = 0.26 + 1.96*0.019 = 0.297

The 95% confidence interval for the difference between the proportion of all U.S. teens and adults who use social networking sites is (0.223, 0.297). This means that we are 95% sure that the true difference of the proportion is in this interval, between 0.223 and 0.297.

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A regression-based forecast has yielded a coefficient of correlation (r) equal to 0.754. What is the coefficient of determinatio
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