Kaycee Roche
2020-11-24
Answered

Below is data collected from the growth of two different trees over time. Each tree was planted in 1960, and the trees

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joshyoung05M

Answered 2020-11-25
Author has **97** answers

Tree A is curved which means it could be an exponential function. The yy-coordinates are 10, 20, 40, and 80. Since the yy-coordinates are doubling every 10 years, then the function is exponential since exponential functions have a constant factor (the number you multiply by).

2. Unlike the yy-coordinates for Tree A, the yy-coordinates for Tree B are not increasing by a constant factor. Since

Exponential functions are of the form

Linear functions are of the form

From the previous problems, Tree A is growing by a constant factor of 2 every 10 years and Tree B is growing by a constant amount of 25 feet every 10 years. In the long term, Tree A has a greater growth rate than Tree B since growing by a constant factor will give greater increases than growing by a constant amount as time increases.

5. From the graph, the initial height of Tree A was 10 feet in 1960. From the table, the initial height of Tree B was 12 feet in 1960. Therefore, Tree B had a greater initial height.

6. From the graph and table, in 1990 Tree A had a height of 80 feet and Tree B had a height of 87 feet. Tree A's height will then exceed Tree B's height sometime after 1990. Since 1990 is 30 years after 1960, then

The height of Tree A will then exceed the height of Tree B after

asked 2021-02-23

Interpreting z-scores: Complete the following statements using your knowledge about z-scores.

a. If the data is weight, the z-score for someone who is overweight would be

-positive

-negative

-zero

b. If the data is IQ test scores, an individual with a negative z-score would have a

-high IQ

-low IQ

-average IQ

c. If the data is time spent watching TV, an individual with a z-score of zero would

-watch very little TV

-watch a lot of TV

-watch the average amount of TV

d. If the data is annual salary in the U.S and the population is all legally employed people in the U.S., the z-scores of people who make minimum wage would be

-positive

-negative

-zero

a. If the data is weight, the z-score for someone who is overweight would be

-positive

-negative

-zero

b. If the data is IQ test scores, an individual with a negative z-score would have a

-high IQ

-low IQ

-average IQ

c. If the data is time spent watching TV, an individual with a z-score of zero would

-watch very little TV

-watch a lot of TV

-watch the average amount of TV

d. If the data is annual salary in the U.S and the population is all legally employed people in the U.S., the z-scores of people who make minimum wage would be

-positive

-negative

-zero

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How do you write $\frac{99}{50}$ as a percentage?

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Construct a sample (with at least two differentvalues in the set) of 66 measurements whose median is smaller than the smallest measurement in the sample. If this is not possible, indicate "Cannot create sample".

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I need to include measurement uncertainties in this testing process. So I have a theoretical value A that is stated without uncertainty. My measured data gives me this rate value B with uncerainty $\mathrm{\Delta}$B. It used to be validated (B was stated without uncertainty) as if B < const*A then test passes.

I found this consistensy check that is used for comparing values with uncertainties (if ∣A - B∣ $\le $ ∣$\mathrm{\Delta}$A + $\mathrm{\Delta}$B∣ is true, then the compared values are consistent with each other within experimental uncertainty), so that would mean that in my situation, I just need to make sure that the difference ∣A-B∣ is smaller than $\mathrm{\Delta}$B. 1st question - if it doesn't pass this consistency test, are there two not comparable?

And second, what should I do next? How do I compare const*A and B$\pm $$\mathrm{\Delta}$B? I guess the core of the answer will be in overlaping errors, but couldn't have found much on it.

I found this consistensy check that is used for comparing values with uncertainties (if ∣A - B∣ $\le $ ∣$\mathrm{\Delta}$A + $\mathrm{\Delta}$B∣ is true, then the compared values are consistent with each other within experimental uncertainty), so that would mean that in my situation, I just need to make sure that the difference ∣A-B∣ is smaller than $\mathrm{\Delta}$B. 1st question - if it doesn't pass this consistency test, are there two not comparable?

And second, what should I do next? How do I compare const*A and B$\pm $$\mathrm{\Delta}$B? I guess the core of the answer will be in overlaping errors, but couldn't have found much on it.

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Perform the operations in the correct order: 12-6/15+6*5-9.

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Write a real-world problem that could be represented by the bar diagram below. Then solve your problem.

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How do I solve improper fractions?

a)$5\frac{2}{5}=?$

b)$4\frac{1}{8}=?$

c)$9\frac{7}{8}=?$

a)

b)

c)