Can someone please help me on this asap?? Im begging ill give more points and brainliest etc just please please help.

In their preface, the Grimms explained their interest in the culture of the common people, and their intention in recording thei

aivan3 [116]

The central idea of this passage is; - The Grimms' first collection of tales was a cultural study intended for a scholarly audience. Option D

This is further explained below.

<h3>What is Grimm Brothers Saved the Fairy Tale,?</h3>

Generally, The Grimm brothers presented an oppressed and frightened young man who was left for dead in the woods by his brothers in their 1812 fairy tale. In exchange for seven years of protection from death, he gladly dons the devil's green cloak and vows never to shave or bathe again.

In conclusion, The most important point that should be taken away from this paragraph is that the Grimms' first collection of fairy tales was a cultural study that was aimed at an academic audience. The Option D.

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1 year ago

The number of times that students go to the movies per year has mean is a normal distribution with a mean of 17 with standard de

antiseptic1488 [7]

Answer:

53.84% probability that for a group of 10 students, the mean number of times they go to the movies each year is between 14 and 18 times.

Step-by-step explanation:

To solve this problem, we need to understand the normal probability distribution and the central limit theorem.

Normal probability distribution

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.

Central limit Theorem

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