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azamat
3 years ago
7

2/7 Of the students in the school or in sixth grade. C] If the school has X students write an expression for the number of sixth

graders in terms of X.
Mathematics
1 answer:
Sunny_sXe [5.5K]3 years ago
4 0

The expression for the number of sixth graders in terms of x is n = \frac{2x}{7}

<h3><u>Solution:</u></h3>

Given that , \frac{2}{7} of the students in school are in sixth grade

To find: Expression for number of sixth graders

Let the total number of students in school be "x"

From given statement,

\frac{2}{7} of the students in school are in sixth grade

Which means, \frac{2}{7} of total number of students are in sixth grade

Let "n" be the number of students in sixth grade

Then by given statement,

n = \frac{2}{7} of total number of students

n = \frac{2}{7} \text{ of } x\\\\n = \frac{2}{7} \times x\\\\n = \frac{2x}{7}

Thus the expression in terms of x is found

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Mashcka [7]

Answer:

The 90% confidence interval for the difference in the mean grade on test 7 for all students who attended a review session and for all students who did not attend a review session is (3.7, 12.3).

Step-by-step explanation:

Before building the confidence interval, we need to understand the central limit theorem and subtraction between 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.

For a proportion p in a sample of size n, the sampling distribution of the sample proportion will be approximately normal with mean \mu = p and standard deviation s = \sqrt{\frac{p(1-p)}{n}}

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.

A simple random sample of 22 students who attended a review session was selected, and the mean grade on test 7 for this sample of 22 students was 85 with a standard deviation of 9.8.

This means that:

\mu_A = 85, s_A = \frac{9.8}{\sqrt{22}} = 2.09

An independent simple random sample of 47 students who did not attend a review session was selected, and the mean grade on test 7 was 77 with a standard deviation of 10.6.

This means that:

\mu_N = 77, s_N = \frac{10.6}{\sqrt{47}} = 1.55

Distribution of the difference in the mean grade on test 7 for all students who attended a review session and for all students who did not attend a review session.

Mean:

\mu = \mu_A - \mu_N = 85 - 77 = 8

Standard deviation:

s = \sqrt{s_A^2 + s_B^2} = \sqrt{2.09^2 + 1.55^2} = 2.6

Confidence interval:

We have that to find our \alpha level, that is the subtraction of 1 by the confidence interval divided by 2. So:

\alpha = \frac{1 - 0.9}{2} = 0.05

Now, we have to find z in the Ztable as such z has a pvalue of 1 - \alpha.

That is z with a pvalue of 1 - 0.05 = 0.95, so Z = 1.645.

Now, find the margin of error M as such

M = zs

So

M = 1.645*2.6 = 4.3

The lower end of the interval is the sample mean subtracted by M. So it is 8 - 4.3 = 3.7

The upper end of the interval is the sample mean added to M. So it is 8 + 4.3 = 12.3

The 90% confidence interval for the difference in the mean grade on test 7 for all students who attended a review session and for all students who did not attend a review session is (3.7, 12.3).

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What is 7x-11-4x=6 equasion
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Question:

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x = 17/3 <===== <em>Answer</em>


Hope this helped!!!

~Shane

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