The box plots show the weights, in pounds, of the dogs in two different animal shelters.

Mathematics

2 answers:

leva [86]3 years ago

5 0

Answer:

The median weight for shelter A is greater than that for shelter B.

The median weight for shelter B is greater than that for shelter A.

The data for shelter A are a symmetric data set.

The data for shelter B are a symmetric data set.

The interquartile range of shelter A is greater than the interquartile range of shelter B.

pantera1 [17]3 years ago

3 0

Answer:

Step-by-step explanation:

sorry if I am wrong

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On a measure of artistic abilities the mean for college students in New Zealand is 150 and a standard deviation is 25 give the Z

Digiron [165]

The method for computing a z-score is $\bold{z = \frac{(x-\mu)}{\sigma}}$ , where x is the crude score, $\bold{\mu}$ is the mean population, and $\bold{\sigma}$ seems to be the <em><u>standard population difference.</u></em>

The Z value of x is a number $\bold{\frac{(x - \text{mean(series))}}{\text{SD(series)}}}$ are defined where SD is the standard deviation.
Here, we consider series as scores of students of colleges in New Zealand for their artistic abilities.

$\bold{\bar{x}=150}\\\\ \bold{\sigma=25}$

following are the calculation of the Z scores:

$\to \ (a)\ 100:\ \text{Z score}=\frac{(100-150)}{25}= \frac{(-50)}{25} = -2\\\\\to \ (b)\ 120:\ \text{Z score}=\frac{(120-150)}{25}= \frac{(-30)}{25} = -1.2\\\\\to \ (c)\ 140:\ \text{Z score}=\frac{(140-150)}{25}= \frac{(-10)}{25} = -0.4\\\\\to \ (a)\ 160:\ \text{Z score}=\frac{(160-150)}{25}= \frac{(10)}{25} = 0.4\\\\$

Using formula:

$\to \text{Raw score = Mean(series) +Z score} \times \text{SD(series)}$

Calculating the Raw scores:

$\text{(e) -1: Raw score= 150 +(-1)} \times 25 = 125 \\\\\text{(f) -0.8: Raw score= 150 +(-0.8)} \times 25 = 130\\\\\text{(e) -0.2: Raw score= 150 +(-0.2)} \times 25 = 145\\\\\text{(e) 1.38: Raw score= 150 +(1.38)} \times 25 = 184.5\\\\$