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frosja888 [35]
3 years ago
5

.3 ovos .60 gramas de manteiga

Mathematics
1 answer:
Morgarella [4.7K]3 years ago
6 0

Answer:

english please

Step-by-step explanation

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Find the value of x that makes m || n
oee [108]

Answer:

X=107°

Step-by-step explanation:

180-73=107

this is to get the angle on the opposite side of the 73.

corresponding angles are similar hence angle x is 107°

3 0
2 years ago
Read 2 more answers
Naomi deposited money into savings account that is compunded quarterly at an interest rate of 6%. She thinks this quarterly rate
FromTheMoon [43]

Answer:

No, because 1.25% times 3 is 3.75% which is less than 6%

Step-by-step explanation:

Quarterly is every 3 months

6% interest is 1.06, 6 cents on the dollar

Monthly interest rate is 1.25% so 1.25 × 3 is 3.75

So, 1.25% times 3 is 3.75% which is 2.25% less than 6%

Hope this helps!

Have a great day!

Plz mark brainliest.

6 0
2 years ago
A researcher reports survey results by stating that the standard error of the mean is 25 the population standard deviation is 40
bezimeni [28]

Answer:

a) A sample of 256 was used in this survey.

b) 45.14% probability that the point estimate was within ±15 of the population mean

Step-by-step explanation:

This question is solved using the normal probability distribution and the central limit theorem.

Normal probability distribution

When the distribution is normal, we use 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.

Central Limit Theorem

The Central Limit Theorem estabilishes that, for a normally distributed random variable X, with mean \mu and standard deviation \sigma, the sampling distribution of the sample means with size n can be approximated to a normal distribution with mean \mu and standard deviation s = \frac{\sigma}{\sqrt{n}}.

For a skewed variable, the Central Limit Theorem can also be applied, as long as n is at least 30.

a. How large was the sample used in this survey?

We have that s = 25, \sigma = 400. We want to find n, so:

s = \frac{\sigma}{\sqrt{n}}

25 = \frac{400}{\sqrt{n}}

25\sqrt{n} = 400

\sqrt{n} = \frac{400}{25}

\sqrt{n} = 16

(\sqrt{n})^2 = 16^2[tex][tex]n = 256

A sample of 256 was used in this survey.

b. What is the probability that the point estimate was within ±15 of the population mean?

15 is the bounds with want, 25 is the standard error. So

Z = 15/25 = 0.6 has a pvalue of 0.7257

Z = -15/25 = -0.6 has a pvalue of 0.2743

0.7257 - 0.2743 = 0.4514

45.14% probability that the point estimate was within ±15 of the population mean

3 0
3 years ago
Identify the middle line for the function: f (t) = 5sec(3t − π) + 1
sergiy2304 [10]
Thank you for posting your question here at brainly. I hope the answer will help you. Feel free to ask more questions.

<span>(t) = 0 gives
</span><span>-24t + 60 = 0
</span><span>t = 2.5
</span><span>For this t, the second derivative s"(t) = -24 is negative. And so, s(t) is maximum for t = 2.5.
</span><span>Maximum height is S = -12(2.5)^2 + 60(2.5) +8 = 233ft</span>
6 0
3 years ago
Which of the following is a statistical question? Select all that apply A. How many cats do you own? B. How old is your cat? C.
Mashutka [201]

Answer:

D

Step-by-step explanation:

For all the other questions, there is more than one question.

Please mark as Brainliest! :)

Have a nice day.

7 0
3 years ago
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