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3 years ago

Help me out?? would be wonderful!

Mathematics

1 answer:

umka2103 [35]3 years ago

7 0

C I think because vertical lines is (VUX) which is Vertical, undefined slope, and x=

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Thirty-three college freshmen were randomly selected for an on-campus survey at their university. The participants' mean GPA was

Ivan

Answer: $\pm0.1706$

Step-by-step explanation:

Given : Sample size : n= 33

Critical value for significance level of $\alpha:0.05$ : $z_{\alpha/2}= 1.96$

Sample mean : $\overline{x}=2.5$

Standard deviation : $\sigma= 0.5$

We assume that this is a normal distribution.

Margin of error : $E=\pm z_{\alpha/2}\dfrac{\sigma}{\sqrt{n}}$

i.e. $E=\pm (1.96)\dfrac{0.5}{\sqrt{33}}=\pm0.170596102837\approx\pm0.1706$

Hence, the margin of error is $\pm0.1706$

7 0

3 years ago

the results of a poll indicate that between 33% and 37% of the population of a town visit the library at least once a year. what

Vera_Pavlovna [14]

The margin of error is ±2%

<h3>What is Margin error?</h3>

A margin of error is a statistical measurement that accounts for the difference between actual and projected results in a random survey sample.

Let x be margin of error and y be the percentages of the population.

So,

y-x =33%

y +x = 37%

Solving above equations

2y= 70

y= 35%

and x= 2%

Hence, the margin of error is ±2%.

Learn more about this concept here:

brainly.com/question/11421935

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6 0

1 year ago

The residual plot for a data set is shown.

Stolb23 [73]

Here are the CORRECT answers.

Please leave a thanks.

7 0

3 years ago

Read 2 more answers

Twelve added to a number equals 18 find the number

faltersainse [42]

The answer is the number 6

3 0

2 years ago

Read 2 more answers

Based on historical data in Oxnard college, we believe that 37% of freshmen do not visit their counselors regularly. For this ye

slega [8]

Answer:

A sample size of 1031 is required.

Step-by-step explanation:

In a sample with a number n of people surveyed with a probability of a success of $\pi$ , and a confidence level of $1-\alpha$ , we have the following confidence interval of proportions.