SOMEONE PLZ HELP ME!!!!!!

Reina surveyed her friends, asking each of them, "How many times have you been to the amusemer

Otrada [13]

The distribution is skewed left.
The median is an accurate measure of center.
The interquartile range is an accurate measure of spread.

<h3>How to find the Distribution of data?</h3>

Probability plots might be the best way to determine whether your data follow a particular distribution. If your data follow the straight line on the graph, the distribution fits your data. This process is simple to do visually. Informally, this process is called the “fat pencil” test.

For skewed distributions, it is quite common to have one tail of the distribution considerably longer or drawn out relative to the other tail.

As, it is known that, when the distribution of data is left-skewed, the mean is less than median.

In any research of distribution, the distribution is described by its shape. If there are more higher values than lower values, the distribution is skewed left.

The distribution can be described by its center. If the distribution is skewed left or right, the median is an accurate measure of center.

The distribution can be described by its spread. If the data set does not have an outlier, the interquartile range is an accurate measure of spread.

Learn more about distribution of data here:

brainly.com/question/304810

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7 0

2 years ago

How can she find the coordinates of the new point without graphing the point?

ad-work [718]

<h3>How can she find the coordinates of the new point without graphing the point?</h3>

If you know the coordinates of any two points on a straight line, you can compute its slope without looking at its graph. Every point has two coordinates: an x-value and a y-value, which are expressed as an ordered pair (x, y). The x value indicates the horizontal location of a point.

<h2>☆彡Hanna</h2>

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3 0

3 years ago

1. Amber started a new job with an annual salary of P250 000 in year 2014. Ifshe receives P6 000

lisabon 2012 [21]

Answer:

blob blop

Step-by-step explanation:

w hejrkthen

8 0

2 years ago

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The lengths of pregnancies are normally distributed with a mean of 266 days and a standard deviation of 15 days. a. Find the pro

MrMuchimi

Answer:

a. 0.313% (0.003134842261), b. 237.79 days (237.788095878)

Step-by-step explanation:

In this case, the length of pregnancies is a normally distributed variable, with a mean of 266 days, and a standard deviation of 15 days.

A graph showing the distribution, with regions of interest for the answer, is presented below.

<h3>First Part: Find the probability of a pregnancy lasting 307 days or longer.</h3>

To answer the question regarding <em>the probability of a pregnancy lasting 307 days or longer</em>, it is necessary to calculate what the cumulative probability distribution value is at 307 days. By the way, according to the graph below, 307 days are quite far from the population mean (266 days).

Using the function <em>normaldist(266,15).cdf(307)</em>, from free Desmos software on Internet, we find that, at this length (307 days), the sum of all probabilities for all cases at this value is 99.69% (0.996865157739).

Considering that the total area of the curve is 1, then <em>the probability of pregnancy lasting 307 days or longer</em> is 1 - 0.996865157739 or 0.003134842261 (or 0.00313), approximately 0.313%, a very low probabilty.

This probability is showed as the "light blue" region at the right extreme of the graph.

<h3>Second Part: Find the length that separates premature babies from those who are not premature.</h3>

To find the length that separates premature babies from those who are not premature, it is a question about <em>find the days related with the probability of 3% (or 0.03)</em> to find such premature babies. So, it is a question of finding a percentile (or 100-quantiles): given the cumulative normal distribution curve, what is the value (length of pregnancies) that represents this 3%.

Using the function <em>quantile(normaldist(266,15), 0.03)</em>, from free Desmos software on Internet, we obtained a value of 237.79 days (237.788095878) for the length of pregnacies of premature babies. In other words, those babies whose mothers have a length of pregnancy <em>lower</em> than 237.79 days are considered premature, or this is "the length that separates premature babies from those who are not premature".

The area below 237.79 days is the blue shaded region in the graph below, at the left extreme of it.

4 0

3 years ago

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1.3181818...... as fraction units lowest term

Anestetic [448]

Answer:

29/22

Step-by-step explanation:

Let x = 1.31818181818....

Then, 10x = 13.18181818..., and 1000x = 1318.18181818..... Subtracting the first equation from the second, we get that 990x = 1305. This means that x = 1305/990. In lowest terms, this is 29/22.

6 0

3 years ago