Match the pairs of variables with the type of relationship they show.

1 answer:

7 0

"-the time people spend at work and the number of friends they have"
would be "causation"; because the more/less time someone spends at work is implied to be the *cause* of their number of friends.

"-the length of a person's hair and his or her math skills"
would be "no relationship" seeing as there's nothing that relates these two variables that could have an affect on the outcome of one or the other.

<span>"-a student's test scores in math and physics" would be "correlation" because the two subjects are similar enough that any outcome in one could very well be similarly related to the outcome in the other. </span>

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G(x)=− 4 x 2 +7g, left parenthesis, x, right parenthesis, equals, minus, start fraction, x, start superscript, 2, end superscr

steposvetlana [31]

For this case, what we should do is evaluate the function for different points within the range shown.
We then have the following table:
x g(x)
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From where we observed that the average rate of change is:
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Answer:
the average rate of change of g over the interval [-2,4] is:
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ioda

Answer:

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Step-by-step explanation:

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grandymaker [24]

Answer is in attachment below.

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4 years ago

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mina [271]

Answer:

3 3/4

Step-by-step explanation:

5× $\frac{3}{4}$

5 3

/ × /

1 4

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4 years ago

Ball-Bearings, Inc. produces ball bearings on a Kronar BBX machine. For one specific ball bearing produced, the mean diameter is

worty [1.4K]

Answer:

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Step-by-step explanation:

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.

In this problem, we have that:

$\mu = 20, \sigma = 0.15$