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Dafna11 [192]
2 years ago
13

Which statement is true about the distribution?

Mathematics
2 answers:
Minchanka [31]2 years ago
5 0
The answer is 
<span>
The IQR is the best measure of variability because the distribution has an outlier. 

Hoped I Helped I did the test</span>
tatyana61 [14]2 years ago
4 0

Answer:

(C)

Step-by-step explanation:

From the given figure, we can see that 8 is an outlier which is at a very large distance from the rest of the data values that ranges between 300 to 500.

Thus, In this distribution, 8 is an outlier.

Now, In order to find the measure of variability in the distribution, if the distribution contains an outlier, then Inter Quartile range is the best measure of variability of the distribution.

Thus, The IQR is the best measure of variability because the distribution has an outlier.

Hence, option C is correct.

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mrs_skeptik [129]
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
3 0
2 years ago
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Sergio039 [100]
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6 0
3 years ago
A game is played with a spinner on a circle, like the minute hand on a clock. The circle is marked evenly from 0 to 100, so, for
zheka24 [161]

Answer:

The probability is 1/2

Step-by-step explanation:

The time a person is given corresponds to a uniform distribution with values between 0 and 100. The mean of this distribution is 0+100/2 = 50 and the variance is (100-0)²/12 = 833.3.

When we take 100 players we are taking 100 independent samples from this same random variable. The mean sample, lets call it X, has equal mean but the variance is equal to the variance divided by the length of the sample, hence it is 833.3/100 = 8.333.

As a consecuence of the Central Limit Theorem, the mean sample (taken from independant identically distributed random variables) has distribution Normal with parameters μ = 50, σ= 8.333. We take the standarization of X, calling it W, whose distribution is Normal Standard, in other words

W = \frac{X - \mu}{\sigma} = \frac{X - 50}{8.333} \simeq N(0,1)

The values of the cummulative distribution of the Standard Normal distribution, lets denote it \phi , are tabulated and they can be found in the attached file, We want to know when X is above 50, we can solve that by using the standarization

P(X > 50) = P(\frac{X-50}{8.33} > \frac{50-50}{8.33}) = P(W > 0) = \phi(0) = 1/2

Download pdf
8 0
3 years ago
What is the value of x?<br> 2 units<br> 3 units<br> 5 units<br> 8 units
irinina [24]

Answer:B

Step-by-step explanation:

5 0
3 years ago
64cm is equal to how many mm
eduard
64 cm is 640 mm. 

Hope this helps!
8 0
3 years ago
Read 2 more answers
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