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3 years ago

Kimmy bought a 5 kilogram can of peanuts for $4.50. What is the unit price?

Mathematics

2 answers:

patriot [66]3 years ago

8 0

The unit price of the can of peanuts is $0.9 per can

icang [17]3 years ago

5 0

To solve this, we divide the price by the kilograms of peanuts.

4.5/5= 0.9

So therefore, our answer is that it costs $0.9 per can of peanuts.

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Sophia buys an apple that weighs 0.45 pound, a grapefruit that weighs pound, a navel orange that weighs pound, and a pear that w

Tanzania [10]

Answer:

The order of fruit from least to greatest weight is -

Apple , pear, navel orange, grapefruit

Step-by-step explanation:

P.S - The exact question is -

Given - Sophia buys an apple that weighs 0.45 pound, a grapefruit that weighs $\frac{3}{4}$ pound, a navel orange that weighs $\frac{5}{8}$ pound, and a pear that weighs 0.5 pound.

To find - What is the order of the fruit from least weight to the greatest weight ?

Proof -

Weight of apple = 0.45 pound

Weight of grapefruit = $\frac{3}{4}$ pound = 0.75 pound

Weight of navel orange = $\frac{5}{8}$ pound = 0.625 pound

Weight of a pear = 0.5 pound

As,

0.45 < 0.5 < 0.625 < 0.75

So, The order of fruit from least to greatest weight is -

Apple , pear, navel orange, grapefruit

8 0

2 years ago

Which of these is the algebraic expression for "4 times the sum of 2 and y?"

solmaris [256]

Answer:

Step-by-step explanation:

The sum of 2 and y is 2 + y, then 4 times this sum is

4(2 + y) → b

4 0

3 years ago

Help i don't understand i need the formula and answer thanks

Komok [63]

Answer:

Step-by-step explanation:

where both lines intersect

therefore 2 and 5 are the two solutions

3 0

3 years ago

Read 2 more answers

on the asymptotic behavior of the sample estimates of eigenvalues and eigenvectors of covariance matrices

skelet666 [1.2K]

A complex mathematical topic, the asymptotic behavior of sequences of random variables, or the behavior of indefinitely long sequences of random variables, has significant ramifications for the statistical analysis of data from large samples.

The asymptotic behavior of the sample estimators of the eigenvalues and eigenvectors of covariance matrices is examined in this claim. This work focuses on limited sample size scenarios where the number of accessible observations is comparable in magnitude to the observation dimension rather than usual high sample-size asymptotic .

Under the presumption that both the sample size and the observation dimension go to infinity while their quotient converges to a positive value, the asymptotic behavior of the conventional sample estimates is examined using methods from random matrix theory.

Closed form asymptotic expressions of these estimators are obtained, demonstrating the inconsistency of the conventional sample estimators in these asymptotic conditions, assuming that an asymptotic eigenvalue splitting condition is satisfied.

To learn more about asymptotic behavior visit:brainly.com/question/17767511

#SPJ4

4 0

1 year ago

Choose any four consecutive even numbers. (For example: 6, 8, 10, 12). Multiply the two middle numbers together. (e.g. 8 x 10 =

Ludmilka [50]

Answer:

Step-by-step explanation:

let the consecutive even numbers be 2n-2,2n,2n+2,2n+4 where n>0 and n is an integer.

2n(2n+2)-(2n-2)(2n+4)

=4n²+4n-(4n²+8n-4n-8)

=4n²+4n-4n²-8n+4n+8

6 0

3 years ago