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ella [17]
3 years ago
7

Oder each set of numbers from least to greastes 4.56, 4 5/8, 4.556, √18, 41/9

Mathematics
1 answer:
love history [14]3 years ago
6 0
Sqrt 18, 41/9, 4.556, 4.56, then lastly 4 5/8. Hope this helps!
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Write an equivalent expression by distributing the "-−" sign outside the parentheses: -(7n+0.9)
irinina [24]

Answer:

-7n - .9

Step-by-step explanation:

By distributing the - to the parentheses, you must add a - sign to each number in the parentheses. This makes the positives turn negative.

3 0
3 years ago
Read 2 more answers
Based on this data, what is a reasonable estimate of the probability that the next type of stir fry ordered is shrimp?
Aleks [24]
Answer: The probability that the next type of stir fry ordered is shrimp is 5/18.
Step-by-step explanation:
So first add all the orders. 5 + 2 + 2 + 6 + 3 = 18
You have 5 shrimp orders so thats 5/18.
4 0
3 years ago
The graph of f(x) = |x| is reflected across the y-axis and translated to the left 5 units. Which statement about the domain and
sdas [7]

Answer:A ( Both the domain and range of the transformed function are the same as those of the parent fuction

Step-by-step explanation: yes.

8 0
2 years ago
Calculate the sample mean and sample variance for the following frequency distribution of hourly wages for a sample of pharmacy
Blababa [14]

Answer:

\bar x = 13.739

\sigma^2 = 4.923

Step-by-step explanation:

Given

\begin{array}{cc}{Class} & {Frequency} & 10.01 - 11.50 & 44 & 11.51 - 13.00 & 27 & 13.01 - 14.50 & 38 & 14.51 - 16.00 & 33 & 16.01 - 17.50 & 40 \ \end{array}

Required

The sample mean and the sample variance

First, calculate the midpoints

x_1 = \frac{10.01 + 11.50}{2} = 10.755

x_2 = \frac{11.51 + 13.00}{2} = 12.255

And so on...

So, the table becomes:

\begin{array}{ccc}{Class} & {Frequency} & {x} & 10.01 - 11.50 & 44 & 10.755 & 11.51 - 13.00 & 27 & 12.255 & 13.01 - 14.50 & 38 & 13.755 & 14.51 - 16.00 & 33 & 15.255 & 16.01 - 17.50 & 40 & 16.755 \ \end{array}

So, the sample mean is:

\bar x = \frac{\sum fx}{\sum f}

\bar x = \frac{44 * 10.755 + 27 * 12.255 + 38 * 13.755 + 33 * 15.255 + 40 * 16.755}{44 + 27 + 38 + 33 + 40}

\bar x = \frac{2500.41}{182}

\bar x = 13.739

The sample variance is:

\sigma^2 = \frac{\sum f(x - \bar x)^2}{\sum f - 1}

\sigma^2 = \frac{44 * (10.755 - 13.739)^2 + 27 * (12.255 - 13.739)^2+ 38 * (13.755 - 13.739)^2 + 33 * (15.255 - 13.739)^2+ 40 * (16.755- 13.739)^2}{44 + 27 + 38 + 33 + 40-1}

\sigma^2 = \frac{890.950592}{181}

\sigma^2 = 4.923

7 0
3 years ago
pls I need help plzzzzzzzzzzzzzzzzzzzzzzzzzzzzzzzzzzzzzzzzzzzzzzzzzzzzzzzzzzzzzzzzzzzzzzzzzzzzzzzzzzzzzzzzzzzzzzzzzzzzzzzzzzzzzz
vichka [17]

Answer:

4 pairs.

Step-by-step explanation:

Shin guards-$8.58

7 pairs of socks-$4.29

Pays-$25.74

Let's express following equation:

$25.74=8.58+4.29x

x will be the pairs of socks.

25.74-8.58=4.29x

x= 17.16{}/ 4.29{}{}

x=4

SO she bought 4 pairs of socks.

Hope this helps :)

3 0
2 years ago
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