Which phrase accurately describes a distribution that's bell shaped but not symmetric

Mathematics

2 answers:

Alex3 years ago

7 0

Answer:

<em>The distribution is skewed (either to the left or to the right).</em>

Step-by-step explanation:

Skewness is the measure of how symmetric the distribution of the data is around its mean. It can be skewed either to the left or to the right (meaning that one of the "tails" of the distribution is longer than the other). This means that the mass your data set's observations tends to accumulate more around one extreme of the distribution than around the other.

A strictly symmetric, normal distribution would have a skewness measure of 0.

STatiana [176]3 years ago

6 0

The distribution is skew

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A pizza shop sells three sizes of pizza, and they track how often each size gets ordered along with how much they profit from ea

kari74 [83]

Answer:

μy = $6.56 ; σy = 2.77

Step-by-step explanation:

Given the data :

Mean μx= $8.56

Standard Deviation σx ≈ 2.77

Profit, Y on pizza with current promo :

Price off on pizza = $2

Y = x - 2

μx = E(x) = $8.56

μy = μ(x - 2)

μy = μx - $2

μy = $8.56 - $2

μy = $6.56

For the standard deviation of y

σx ≈ 2.77

σy = σ(x - 2)

σy = σx - 2

Constants are treated as 0 for standard deviation

σy = 2.77

8 0

3 years ago

I need help asap plz

Lostsunrise [7]

Answer:

Step-by-step explanation:

The constant of proportionality is the ratio between the two proportional variables in a directly proportional relationship. In this case, the variables are $x$ and $y$ .

To find the constant of proportionality, all we have to do is divide any value of $y$ by its corresponding value of $x$ . Let's take the values in the first row of the table. We know that $x=2$ and $y=12$ , so the constant of proportionality is $\frac{y}{x}=\frac{12}{2} =6$ . Hope this helps!