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VikaD [51]
3 years ago
6

In a certain neighborhood there are 25 dogs and 10 cats. In a neighborhood across the way, the ratio of cats to dogs is the same

. If there are 8 cats in the neighborhood, how many total pets are there?
BRAINLIEST WILL BE GIVEN IF CORRECT (but it wont work unless there is explantation)
Mathematics
1 answer:
Akimi4 [234]3 years ago
6 0

28 because 2.5 times 8 equals 20 plus that 8 equals 28.

Step-by-step explanation:

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How do you solve .32÷1.28
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just divide it which the answer is 1/4

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3 years ago
A researcher wants to estimate the percentage of all adults that have used the Internet to seek pre-purchase information in the
lara31 [8.8K]

Answer:

The sample size is 1875.

Step-by-step explanation:

In a sample with a number n of people surveyed with a probability of a success of \pi, and a confidence level of 1-\alpha, we have the following confidence interval of proportions.

\pi \pm z\sqrt{\frac{\pi(1-\pi)}{n}}

In which

z is the zscore that has a pvalue of 1 - \frac{\alpha}{2}.

The margin of error is:

M = z\sqrt{\frac{\pi(1-\pi)}{n}}

Sampling error of 0.03.

This means that M = 0.03

99.74% confidence level

So \alpha = 0.0026, z is the value of Z that has a pvalue of 1 - \frac{0.0026}{2} = 0.9987, so Z = 3.

25% of all adults had used the Internet for such a purpose

This means that \pi = 0.25

What is the sample size

The sample size is n. So

M = z\sqrt{\frac{\pi(1-\pi)}{n}}

0.03 = 3\sqrt{\frac{0.25*0.75}{n}}

0.03\sqrt{n} = 3\sqrt{0.25*0.75}

Simplifying by 0.03 both sides

\sqrt{n} = 100\sqrt{0.25*0.75}

(\sqrt{n})^2 = (100\sqrt{0.25*0.75})^2

n = 1875

The sample size is 1875.

7 0
3 years ago
The relationship between the standard normal random variable z and normal random variable X is that :
alisha [4.7K]

Answer:

(B) The standard normal variable Z counts the number of standard deviations that the value of the normal random variable X is away from its mean

Step-by-step explanation:

Problems of normally distributed samples are 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.

Positive z-score: Above the mean

Negative z-score: Below the mean

All variables are continuous.

X can be positive or negative, just like Z

So the correct answer is:

(B) The standard normal variable Z counts the number of standard deviations that the value of the normal random variable X is away from its mean

4 0
3 years ago
Which graph best represents the equation shown below? 3x + y = 2 A. B. C. D.
Ray Of Light [21]

Answer:

The plots are (0,2) (1,-1)

Step-by-step explanation:

a slanted line starting from top left corner ending in the bottom right

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