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fomenos
3 years ago
5

A puppy named Puddles started Douthat 3 pounds and gained 5 pounds every month. At how many months did Puddles weigh 33 pounds?

Mathematics
1 answer:
Zinaida [17]3 years ago
3 0

Answer:

6.6 months

Step-by-step explanation:

33 ÷ 5=6.6

This should help and if It doesn't I am sorry

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The Seminole corporation has income before tax of $150,000.00 and taxable income of $65,000.00. The income tax rate is 35 percen
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Step-by-step explanation:

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1 year ago
According to the WHO MONICA Project the mean blood pressure for people in China is 128 mmHg with a standard deviation of 23 mmHg
Alja [10]

Answer:

a) Let X the random variable that represent the blood pressure for people of a population, and for this case we know the distribution for X is given by:

X \sim N(128,23)  

Where \mu=128 and \sigma=23

b) P(X\geq 135)=P(\frac{X-\mu}{\sigma}\geq \frac{135-\mu}{\sigma})=P(Z\geq \frac{135-128}{23})=P(Z\geq 0.304)

And we can find this probability using the complement rule:

P(Z\geq 0.304)=1-P(Z

And in order to find this probabilities we can use tables for the normal standard distribution, excel or a calculator.  

P(Z\geq 0.304)=1-P(Z

Step-by-step explanation:

Previous concepts

Normal distribution, is a "probability distribution that is symmetric about the mean, showing that data near the mean are more frequent in occurrence than data far from the mean".

The Z-score is "a numerical measurement used in statistics of a value's relationship to the mean (average) of a group of values, measured in terms of standard deviations from the mean".  

Part a

Let X the random variable that represent the blood pressure for people of a population, and for this case we know the distribution for X is given by:

X \sim N(128,23)  

Where \mu=128 and \sigma=23

Part b

We are interested on this probability

P(X\geq 135)

And the best way to solve this problem is using the normal standard distribution and the z score given by:

z=\frac{x-\mu}{\sigma}

If we apply this formula to our probability we got this:

P(X\geq 135)=P(\frac{X-\mu}{\sigma}\geq \frac{135-\mu}{\sigma})=P(Z\geq \frac{135-128}{23})=P(Z\geq 0.304)

And we can find this probability using the complement rule:

P(Z\geq 0.304)=1-P(Z

And in order to find this probabilities we can use tables for the normal standard distribution, excel or a calculator.  

P(Z\geq 0.304)=1-P(Z

3 0
4 years ago
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