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galina1969 [7]
3 years ago
14

-p(51+z)=dz+84 how do i solve for z​

Mathematics
1 answer:
deff fn [24]3 years ago
6 0

Answer:

Z=53p/d-84/d

Step-by-step explanation:

hope it help's

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2[32-(4-1)³] answer.​
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Answer:

3^5/3

log(1/2)

log2(16)

Step-by-step explanation:

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Vertical angles are congruent. Two nonadjacent angles formed by two intersecting lines are vertical angles.
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Answer:

A

Step-by-step explanation:

If two nonadjacent angles formed by two intersecting lines = Vertical angles= congruent

Then

Two non adjacent angles formed by two intersecting lines are congruent

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A square has an area of approximately 750 square feet. Which of the following would be the most reasonable estimate of the lengt
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c

Step-by-step explanation:

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3 years ago
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The scatter plot shows the number of years of experience x and the hourly pay rate y for each of 25 cashiers in Ohio.
astra-53 [7]

Answer:

a) y= 0.95*7 +7.95 =14.6

b) y= 0.95*0 +7.95 =7.95

c) For this case we can use the slope from the linear model to answer this question, the 0.95 on this case represent the increase in the hourly pay rate per each year of experience, for example if we have one year of experience the pay rate increase 0.95. So then the answer for this case is 0.95.

Step-by-step explanation:

Assuming the following question: "The scatter plot shows the number of years of experience, x, and the hourly pay rate, y, for each of 25 cashiers in Ohio. x represent the number of years of experience and y the hourly pay rate. The line adusted is:  y=0.95x+7.95, to answer the questions below. Give exact answers, not rounded approximations. "

(a) What is the predicted hourly pay rate for a cashier with 7 years of experience?

For this case we can use the lineal model given:

y = 0.95 x +7.95

And we can replace x =7 years and we got:

y= 0.95*7 +7.95 =14.6

(b) What is the predicted hourly pay rate for a cashier who doesn't have any experience?

For this case we just need to replace in the linear model x=0 since that means no experience and we got:

y= 0.95*0 +7.95 =7.95

(c) For an increase of one year of experience, what is the predicted increase in the hourly pay rate?"

For this case we can use the slope from the linear model to answer this question, the 0.95 on this case represent the increase in the hourly pay rate per each year of experience, for example if we have one year of experience the pay rate increase 0.95. So then the answer for this case is 0.95.

6 0
3 years ago
Choose the correct answer below.
Bumek [7]

Answer:

B. Descriptive statistics describes sets of data. Inferential statistics draws conclusions about the sets of data based on sampling.

Step-by-step explanation:

Let's explain on why the others are not,

A. Descriptive statistics is a characteristic or property of an individual experimental unit. Inferential statistics is the process used to assign numbers to variables of individual population units.

Descriptive statistics needs a set of data, not just an individual experimental unit, since it uses statistical methods like tendency, mean, median, mode, dispersion ranges, deviation, etc. That cannot be gathered from an individual set unit. In the same way, Inferential statistics, is about using a sample of data to infer, as the name says, behavior of larger groups, it doesn't assign numbers or variables, it studies behavior of samples, that being said, a variable might be "assigned" by testing an hypothesis, yet not from an unit, but from a set.

C. Descriptive statistics draws conclusions about the sets of data based on sampling. Inferential statistics summarizes the information revealed in data sets.

It is the complete oposite, Descriptive Statistics (DS), studies data to represent numerical analysis in charts and graphs, but not samples. While Inferential Statistics (IS), is about samples, and how they COULD represent a larger group.

D. Descriptive statistics are measurements that are recorded on a naturally occurring numerical scale. Inferential statistics are measurements that cannot be measured on a natural number​ scale; they can only be classified into one of a group of categories.

In IS, its not that the measurements cannot be measured on a natural number scale, it is that the size of the date is too large, so it needs to be broken down in order to be studied, it can have several categories but a smaller data set (thus a sample)

5 0
3 years ago
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