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Finger [1]
3 years ago
10

A researcher conducted an Internet survey of 500 students at a particular college to estimate the average amount of money studen

ts spend on groceries per week. The data are normally distributed, with the highest weekly amount being $200 and the lowest weekly amount being $75. The sample mean is $140. What is the margin of error (ME), rounded to the nearest hundredth, for this college?
Mathematics
1 answer:
bonufazy [111]3 years ago
6 0

Answer:

The margin of error is  ME = 2.2962

Step-by-step explanation:

From the question we are told that

     The number of student is n = 500

     The highest amount is  A =$200

     The lowest amount is  B = $75

       The sample mean is  x = &140

The Standard deviation  of this set is mathematically evaluated as

            s =  \frac{A-B}{4}

Substituting values

            s =  \frac{200-75}{4}

            s = 31.25

The margin of error (ME) is mathematically evaluated as

            ME =  t_{n-1}__{\alpha }} *  \frac{s}{\sqrt{n} }

Where  t_{n-1}__{\alpha }} is the critical value for \alpha  = 0.05 i.e the significance level

     From the critical value table this is  t_{n-1}__{\alpha }}  =  1.649

So

       ME =  1.649  *  \frac{31.25}{\sqrt{500} }

      ME = 2.2962

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Options A,B and D. The correction about the area of the triangle are

  • The apothem can be found using the Pythagorean theorem.
  • The apothem can be found using the tangent ratio.
  • The length of the apothem is approximately 2.5 cm.

<h3>How to solve for the length of the Apothem using the Pythagoras theorem</h3>

Firstly this is an equilateral triangle

3 of the sides have the length of 8.7cm

b = half of 8.7

= 4.35cm

To get A we have

a² + b² = c²

a² + 4.35² = 5²

When we solve this out we would have

a² = 25 - 18.9225

a ≈ 2.5 cm.

Hence we have proved that the first option is correct.

<u>For B,</u>

In an equilateral triangles, each of the angles = 60 degrees

60/2 = 30 is the angle that is made from the base

<h3>using tangent ratios </h3>

a / 4.35 = tan 30

then a = 4.35 tan 30

This would also give us an approximate of 2.5

For D

The calculations we have done based on the statements in A and B shows that D is correct as 2.5.

Read more on triangles here:

brainly.com/question/18404158

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1 year ago
What is the constant of proportionality?
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Step-by-step explanation:

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When using a quadratic equation of the form ax2 +bx+c=0 to find a distance what should be "ignored"
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You should ignore the negative answers because you can't have negative distance. For example, if you are going back 7 feet, you are still going 7 feet. In that situation, the answer would 7 not -7.

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A researcher wishes to see if the five ways (drinking decaffeinated beverages, taking a nap, going for a walk, eating a sugary s
e-lub [12.9K]

Answer:

\chi^2 = \frac{(21-12)^2}{12}+\frac{(16-12)^2}{12}+\frac{(10-12)^2}{12}+\frac{(8-12)^2}{12}+\frac{(5-12)^2}{12}=13.833

p_v = P(\chi^2_{4} >13.833)=0.00785

And we can find the p value using the following excel code:

"=1-CHISQ.DIST(13.833,4,TRUE)"

Since the p value is lower than the significance level we can reject the null hypothesis at 5% of significance, and we can conclude that the  drowsiness are NOT equally distributed among office workers .

Step-by-step explanation:

Previous concepts

A chi-square goodness of fit test "determines if a sample data matches a population".

A chi-square test for independence "compares two variables in a contingency table to see if they are related. In a more general sense, it tests to see whether distributions of categorical variables differ from each another".

Assume the following dataset:

Method   Beverage   Nap   Walk   Snack   Other

Number       21             16       10         8         5

The total on this case is 60

We need to conduct a chi square test in order to check the following hypothesis:

H0: Drowsiness are equally distributed among office workers

H1: Drowsiness IS NOT equally distributed among office workers

The level of significance assumed for this case is \alpha=0.1

The statistic to check the hypothesis is given by:

\chi^2 = \sum_{i=1}^n \frac{(O_i -E_i)^2}{E_i}

The table given represent the observed values, we just need to calculate the expected values with the following formula E_i = \frac{total}{5}

And the calculations are given by:

E_{Beverage} =\frac{60}{5}=12

E_{Nap} =\frac{60}{5}=12

E_{Walk} =\frac{60}{5}=12

E_{Snack} =\frac{60}{5}=12

E_{Other} =\frac{60}{5}=12

And the expected values are given by:

Method   Beverage   Nap   Walk   Snack   Other

Number       12             12       12         12         12

And now we can calculate the statistic:

\chi^2 = \frac{(21-12)^2}{12}+\frac{(16-12)^2}{12}+\frac{(10-12)^2}{12}+\frac{(8-12)^2}{12}+\frac{(5-12)^2}{12}=13.833

Now we can calculate the degrees of freedom for the statistic given by:

df=(catgories-1)=(5-1)=4

And we can calculate the p value given by:

p_v = P(\chi^2_{4} >13.833)=0.00785

And we can find the p value using the following excel code:

"=1-CHISQ.DIST(13.833,4,TRUE)"

Since the p value is lower than the significance level we can reject the null hypothesis at 5% of significance, and we can conclude that the  drowsiness are NOT equally distributed among office workers .

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Answer:

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Step-by-step explanation:

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