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2 years ago

I NEED HELP WITH THIS I DONT UNDERSTAND IT

Mathematics

1 answer:

nadezda [96]2 years ago

8 0

16.935 I got a question on a test hope this helps):

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How bout this 1? yaall kno it

Nana76 [90]

I’m so sorry i don’t know

5 0

2 years ago

Consider a total of 1,000 people. If it was said that within 1 deviation (of the mean) of all people like MATH 123, how many of

Lesechka [4]

Answer:

680 students

Step-by-step explanation:

The 68 - 95 - 99.7 rule (empirical rule) states that 68% of the population lies within one standard deviation of the mean, 95% of the population lies within two standard deviations and 95% of the population lies within three standard deviations.

Hence since it was said that within 1 deviation (of the mean) of all people like MATH 123, therefore the number of people that like MATH 123 is:

number of people that like MATH 123 = 68% of the population

number of people that like MATH 123 = 0.68 * 1000

number of people that like MATH 123 = 680 students

3 0

2 years ago

Alguien que me ayude a saber el resultadooo es urgenteeee

lina2011 [118]

No estoy segura pero 2.5 (half of the box that is 5cm)

7 0

3 years ago

Assume the population has a normal distribution. A sample of 25 randomly selected students Has a mean test score of 81.5 With a

Natasha_Volkova [10]

Answer:

The 90% confidence interval for the mean test score is between 77.29 and 85.71.

Step-by-step explanation:

We have the standard deviation for the sample, so we use the t-distribution to solve this question.

The first step to solve this problem is finding how many degrees of freedom, we have. This is the sample size subtracted by 1. So

df = 25 - 1 = 24

90% confidence interval

Now, we have to find a value of T, which is found looking at the t table, with 24 degrees of freedom(y-axis) and a confidence level of $1 - \frac{1 - 0.9}{2} = 0.95$ . So we have T = 2.064

The margin of error is:

$M = T\frac{s}{\sqrt{n}} = 2.064\frac{10.2}{\sqrt{25}} = 4.21$

In which s is the standard deviation of the sample and n is the size of the sample.

The lower end of the interval is the sample mean subtracted by M. So it is 81.5 - 4.21 = 77.29

The upper end of the interval is the sample mean added to M. So it is 81.5 + 4.21 = 85.71.

The 90% confidence interval for the mean test score is between 77.29 and 85.71.

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2 years ago

A circle has diameter 9cm<br> a square has side length 5 cm

Zinaida [17]

Answer:

Step-by-step explanation:

7 0

2 years ago