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2 years ago

We were lucky because it was sunny every day french duolingo

1 answer:

8 0

The correct translation of the given sentence (nous form) is "Nous avons eu de la chance parce que c'était ensoleillé tous les jours."

<h3>What is a translation?</h3>

A translation is a process that involves translating (interpreting) a word or group of words (sentence) in one language to a word in another language, such as an English sentence to a French sentence.

In this context, the correct translation of the given sentence (nous form) is "Nous avons eu de la chance parce que c'était ensoleillé tous les jours."

Read more on translation here: brainly.com/question/900753

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a pie is cut so that one piece, which is one quarter of the pie, is twice as large as each of the other pieces. into how many pi

ANTONII [103]

Answer:7

Explanation: pie

5 0

3 years ago

Let A and B be events with P(A) = 0.61 and P(A ∩ B) = 0.39. For what value of P(B) will A and B be independent?

timofeeve [1]

Answer:

$P(B) = 0.64$

Explanation:

Given

$P(A) = 0.61$

$P(A\ n\ B) = 0.39$

Required

Determine P(B)

If A and B are independent, then:

$P(A\ n\ B) = P(A) * P(B)$

Substitute values for P(A) and P(A n B)

$0.39 = 0.61 * P(B)$

Make P(B) the subject

$P(B) = \frac{0.39}{0.61}$

<em /> $P(B) = 0.64$ <em> --- approximated</em>

7 0

3 years ago

Hola como estan gente de mierdw jakaksk

Anit [1.1K]

Holo come stan tu día

3 0

2 years ago

A doctor is measuring the mean systolic blood pressure of female students at a large college. Systolic blood pressure is known t

Zarrin [17]

Using the Central Limit Theorem, it is found that the valid conclusion is given as follows:

The sampling distribution will probably not follow a normal distribution, hence we cannot draw a conclusion.

<h3>Central Limit Theorem</h3>

The Central Limit Theorem establishes 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 sampling distribution is also approximately normal, as long as n is at least 30.

In this problem, we have a skewed variable with a sample size less than 30, hence the Central Limit Theorem cannot be applied and the correct conclusion is:

The sampling distribution will probably not follow a normal distribution, hence we cannot draw a conclusion.

To learn more about the Central Limit Theorem, you can check brainly.com/question/24663213

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1 year ago

Mrs. Foster is making a ribbon garland for her baby’s nursery. She buys 650 centimeters of pink ribbon, 3 meters 70 centimeters

Andrej [43]

Kskkdnjxkxjdnxjixjxxjjxjxjx

6 0

2 years ago