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Elenna [48]
3 years ago
12

Mrs. Trout estimated her math class next year would include 28 students. The actual size of the class turned out to be 32 studen

ts. She calculated the percent error in the following way.
28 - 32 = -4

4
32
= 0.125%

Is Mrs. Trout correct? Explain why or why not.
Mathematics
2 answers:
sergeinik [125]3 years ago
7 0

Answer:

no cause where did she get positive 4 from

Step-by-step explanation:

Mariulka [41]3 years ago
4 0

Answer:

she is wrong

Step-by-step explanation:

28/32=0.875

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What ate the domain and range of f(x)(1/6)x+2?
never [62]

Answer:

Domain : all real numbers

Range: All numbers greater than 2

Step-by-step explanation:

The shark. (Haha, I'm sorry.)

There are no restrictions on the x. X can be any real number.

The range, however, does have restrictions. The range has to be a number greater than 0.

Why?

Because any number that you put in for x won't make the range less than 2. If you put in zero for x, the range is 2.

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3 years ago
HELP!!!<br> 50 Points!!!!!
andreyandreev [35.5K]

Answer:

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Step-by-step explanation:

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2 years ago
Consider the following hypothesis test: H0: LaTeX: \mu_1-\mu_2=0μ 1 − μ 2 = 0 Ha: LaTeX: \mu_1-\mu_2\ne0μ 1 − μ 2 ≠ 0 The follow
Pavel [41]

Answer:

z=\frac{104-\bar 106}{\sqrt{\frac{8.4^2}{80}+\frac{7.6^2}{70}}}}=-1.53

Step-by-step explanation:

Data given and notation

\bar X_{1}=104 represent the mean for the sample 1

\bar X_{2}=106 represent the mean for the sample 2

\sigma_{1} =8.4 represent the population standard deviation for the sample 1

\sigma_{2}=7.6 represent the population standard deviation for the sample 2

n_{1}=80 sample size for the group 1

n_{2}=70 sample size for the group 2

z would represent the statistic (variable of interest)

Concepts and formulas to use

We need to conduct a hypothesis in order to check if the means for the two groups are the same, the system of hypothesis would be:

H0:\mu_{1}-\mu_{2} =0

H1:\mu_{1} -\mu_{2} \neq 0

If we analyze the size for the samples both are greater than 30 and we know the population deviations so for this case is better apply a z test to compare means, and the statistic is given by:

z=\frac{\bar X_{1}-\bar X_{2}}{\sqrt{\frac{\sigma^2_{1}}{n_{1}}+\frac{\sigma^2_{2}}{n_{2}}}} (1)

z-test: Is used to compare group means. Is one of the most common tests and is used to determine whether the means of two groups are equal to each other.

Calculate the statistic

First we need to calculate the mean and deviation for each sample, after apply the formulas (2) and (3) we got the following results:

And with this we can replace in formula (1) like this:

z=\frac{104-\bar 106}{\sqrt{\frac{8.4^2}{80}+\frac{7.6^2}{70}}}}=-1.53

7 0
3 years ago
Owen runs 37 miles every 2 weeks. Enter the number of miles Owen runs in 12 weeks
Shtirlitz [24]
I think it’s 222 because he runs 18.5 miles every week and 18.5 x 12 = 222
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Answer:

Step-by-step explanation:

It would be a 25% chance that she would get her favorite color

5 0
3 years ago
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