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4 years ago

In a surey of 375 dog and cat owners there were 215 dog owners and 193 cat owners. how many in the survey own a dog

Mathematics

2 answers:

VARVARA [1.3K]4 years ago

4 0

First, draw venn diagram and determine how many people own both cat and dog. See image attached.
x represents the number of people own both cat and dog
dog only owner + cat only owner + both cat and dog owner = 375
215 - x + 193 - x + x = 375
408 - x = 375
x = 408 - 375
x = 33
The number of people own both cat and dog is 33

Second, find the number of people own dog only
dog only = 215 - 33
dog only = 182
The number of people own dog only is 182

spin [16.1K]4 years ago

3 0

Percent wise, 57.3% own a dog

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ANSWER PLEASE FINAL DUE IN 3 HOURS

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Answer:

Step-by-step explanation:

First thing to do here is to calculate the z-score

Mathematically;

z-score = (x-mean)/SD

here, x = 130, mean = 120 and SD = 10

Substituting these values

z-score = (130-120)/10 = 10/10 = 1

So the probability we want to calculate is;

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3 years ago

Margaret is folding paper flowers for an art project.The number of paper flowers she can make varies dicetly with the amount of

yKpoI14uk [10]

Answer:

168 in 7 hours.

Step-by-step explanation:

We can't multiply.

We got to count up by 12's for each 1/2 hour.

12, 24, 36, 48, 60, 72, 84, 96, 108, 120, 132, 144, 156, 168.

Simplified:

24, 48, 72, 96, 120, 144, 168.

Estimate:

12 = 1/2 hour
24 = 1 hour
36 = 1 1/2 hours
48 = 2 hours
60 = 2 1/2 hours
72 = 3 hours
84 = 3 1/2 hours
96 = 4 hours
108 = 4 1/2 hours
120 = 5 hours.
132 = 5 1/2 hours
144 = 6 hours
156 = 6 1/2 hours
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Answer is 168.

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3 years ago

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Vladimir79 [104]

Answer:

A. 16%

Step-by-step explanation:

Problems of normally distributed samples can be solved using the z-score formula.

In a set with mean $\mu$ and standard deviation $\sigma$ , the zscore of a measure X is given by:

$Z = \frac{X - \mu}{\sigma}$

The Z-score measures how many standard deviations the measure is from the mean. After finding the Z-score, we look at the z-score table and find the p-value associated with this z-score. This p-value is the probability that the value of the measure is smaller than X, that is, the percentile of X. Subtracting 1 by the pvalue, we get the probability that the value of the measure is greater than X.

In this problem, we have that:

$\mu = 64, \sigma = 4$