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2 years ago

Help please this makes no sense

Mathematics

1 answer:

Degger [83]2 years ago

5 0

Answer:

ST = 7.1 in

Step-by-step explanation:

we can use SOH-CAH-TOA because we've got a right triangle

side ST would be 'adjacent'

side TU would be the 'hypotenuse'

so we use Cosine because that's used when you're dealing with adjacent and hypotenuse:

cos 42° = ST/9.5

ST = cos 42° × 9.5

ST = 7.1

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The perimeter of a square is 24 4/9 in, and its side is 6 1/9 in. Find its area.

ra1l [238]

Area = side * side
Area of the square = 6 1/9 * 6/1/9
= 36 1/81

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2 years ago

Now let the figure show a scale drawing of a park with the largest dimension equal to 63 meters. What is the scale?

r-ruslan [8.4K]

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3 years ago

Read 2 more answers

Please helppp ASAP Content attribution

Aliun [14]

Answer:

The LCD of the two given fraction is (x + 4)(x + 5)(x + 7)

Step-by-step explanation:

In the algebraic fractions, the LCD is the least common denominator to find it do that:

Factorize each denominator

Take all the factors without repeating factors

Let us do that with our question

∵ The denominator of the first fraction is m² + 9m + 20

→ Factorize it into two factors

∵ 20 = 4 × 5 ⇒ the last term

∵ 4 + 5 = 9 ⇒ the coefficient of the middle term

∴ m² + 9m + 20 = (x + 4)(x = 5)

∴ The factors of m² + 9m + 20 are (x + 4) and (x + 5)

Do the same with the 2nd denominator

∵ The denominator of the second fraction is m² + 11m + 28

→ Factorize it into two factors

∵ 28 = 4 × 7 ⇒ the last term

∵ 4 + 7 = 11 ⇒ the coefficient of the middle term

∴ m² + 11m + 28 = (x + 4)(x + 7)

∴ The factors of m² + 11m + 28 are (x + 4) and (x + 7)

∵ The factors of the two denominators are (x + 4), (x + 5), (x + 4), (x + 7)

→ LCD will be all factors without repeating which means we will

take the factor (x + 4) just one time, we will not repeat it.

∴ LCD = (x + 4)(x + 5)(x + 7)

∴ The LCD of the two given fraction is (x + 4)(x + 5)(x + 7)

5 0

2 years ago

Help help me pls I'm dead

givi [52]

65,130 that should be the answer...

3 0

3 years ago

Read 2 more answers

Explain the difference between a stratified sample and a cluster sample. (Select all that apply.) In a cluster sample, the only

ziro4ka [17]

Answer:

In a cluster sample, every sample of size n has an equal chance of being included.
In a stratified sample, random samples from each strata are included.
In a cluster sample, the clusters to be included are selected at random and then all members of each selected cluster are included.
In a stratified sample, every sample of size n has an equal chance of being included

Step-by-step explanation:

In a stratified sample the population is divided into different segments and then we take random elements from each segment.

In a cluster sample, the sample is divided into segments (or clusters) and then the sample is taken by selecting different clusters.

Therefore, in the cluster sample we take ALL elements from different clusters while in a stratified sample we take SOME elements from the different sections.

Now let's take a look at the options given:

In a cluster sample, the only samples possible are those including every kth item from the random starting position: FALSE. In the cluster sample we select all items from the cluster.

In a cluster sample, every sample of size n has an equal chance of being included: TRUE. if we divide the sample into clusters of size n then every cluster has an equal chance of being selected (since we select them at random).

In a stratified sample, random samples from each strata are included: TRUE. We already said that we take a random sample from each segment (strata).

In a stratified sample, the only samples possible are those including every kth item from the random starting position: FALSE. We can apply different methods to select our sample from each strata.

In a cluster sample, the clusters to be included are selected at random and then all members of each selected cluster are included. TRUE. This is the definition of cluster sample we wrote at first.

In a stratified sample, every sample of size n has an equal chance of being included: TRUE, we take samples from elements, not from stratas.

In a cluster sample, random samples from each strata are included: FALSE. This is the definition of stratified sample.

In a stratified sample, the clusters to be included are selected at random and then all members of each selected cluster are included: FALSE. This is the definition of cluster sample.

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3 years ago