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Charra [1.4K]
3 years ago
12

Can u help me I have 2 minutes to do this

Mathematics
2 answers:
atroni [7]3 years ago
7 0

Answer:

Least to Greatest - 0.2, 0.25, 0.6, 0.75, 0.82

Step-by-step explanation:

0.2 is also 0.20.

0.82 > 0.75 > 0.6 (or 0.60) > 0.25 > 0.2 (or 0.20)


Hope I could help! Brainliest is greatly appreciated ;) Let me know if you need any more help.

Triss [41]3 years ago
3 0

Answer:

0.2, 0.6,0.25,0.75,0.82

Step-by-step explanation:

so you u have to do it put least to greatest

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Answer:

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Write the number 1/10,000,000 as a power of 10 using a negative exponents
allochka39001 [22]

First, convert into a decimal:

1/10,000,000 = 0.00000001

Next, convert to "the number with a power of 10 using a negative exponent. Move the decimal point to the first <em>number that is not 0</em> (sorry, there is a term for it, but i can't remember it right now, but it is not important to solving the answer)

0.000001 = 1 * 10^-7

1 * 10^-7 is your answer


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8 0
3 years ago
The life expectancy in the US is 75 with a standard deviation of 7 years. A random sample of 49 individuals is selected. What is
victus00 [196]

Answer:

0.02275

Step-by-step explanation:

We use this z score formula to solve for this question

z-score is is z = (x-μ)/σ/√n

where x is the raw score

μ is the population mean

σ is the population standard deviation

From the above question,

x = 77

μ = 75

σ = 7

number of samples = 49

Hence, the z score = 77 - 75/ (7/√49)

= 2/(7/7)

= 2/1

= 2

Hence, the z score = 2

Using the z table to find probability

P(x<77) = 0.97725

P(x>77) = 1 - P(x<77)

= 1 - 0.97725

= 0.02275

Therefore, the probability that the same mean will be larger than 77 years

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7 0
3 years ago
Please help ASAP! Will give BRAINLIEST! Please read the question THEN answer correctly! No guessing.
Vladimir79 [104]
Understand the problem
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3 0
3 years ago
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A. Find a power function that models the data below.
zalisa [80]

Using Visual inspection, the model which fits the data in the distribution better is the power function.

The power and linear functions can of the data can both be modeled using technology,

<u>Using Technology</u> :

The power function in the form y = Ax^{B} which models the data is 1.926x^{1.662}

The linear function in the form y = Bx + A which models the data is y = 7.429x - 8.333

  • Where A = intercept and B = slope

  • From the model, correlation coefficient given by the power and linear models are 0.999 and 0.986 respectively.

  • Hence, the power model is a better fit for the data than the linear model.

Therefore, Inspecting the models visually, the power function fits the data better as the points on the curve are closer to the regression line than on the linear model.

Learn more :brainly.com/question/18405415

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