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Lubov Fominskaja [6]
2 years ago
8

When the discount period started, the price of a chair changed from $220 to $154 . By what percent did the price of the chair de

crease?

Mathematics
1 answer:
NISA [10]2 years ago
4 0
154×100÷220= %

put it in a domino form:

number percentage
# %
154 ?
220 100

the two numbers that are across from each other you multiply and then divide by the third number. Just wanted to make it more easy for you. Plug in the formula above into a calculator and bam!

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MariettaO [177]
N= 2

Substitute 2 in for n in expression

=(5 + n) ÷ (n - 1)
=(5 + 2) ÷ (2 - 1)
=7 ÷ 1
=7

If n= 2, the expression equals 7.

Hope this helps! :)
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2 years ago
Select all of the statements that are valid based on the survey results.
Anika [276]

Answer:

all except the last one

Step-by-step explanation:

4 0
2 years ago
Rockwell hardness of pins of a certain type is known to have a mean value of 50 and a standard deviation of 1.2.a. If the distri
zalisa [80]

Answer:

a

 P(\= X \ge 51 ) =0.0062

b

P(\= X \ge 51 ) = 0

Step-by-step explanation:

From the question we are told that

The mean value is \mu = 50

The standard deviation is  \sigma = 1.2

Considering question a

The sample size is  n = 9

Generally the standard error of the mean is mathematically represented as

      \sigma_x = \frac{\sigma }{\sqrt{n} }

=>   \sigma_x = \frac{ 1.2 }{\sqrt{9} }

=>  \sigma_x = 0.4

Generally the probability that the sample mean hardness for a random sample of 9 pins is at least 51 is mathematically represented as

      P(\= X \ge 51 ) = P( \frac{\= X - \mu }{\sigma_{x}}  \ge \frac{51 - 50 }{0.4 } )

\frac{\= X -\mu}{\sigma }  =  Z (The  \ standardized \  value\  of  \ \= X )

     P(\= X \ge 51 ) = P( Z  \ge 2.5 )

=>   P(\= X \ge 51 ) =1-  P( Z  < 2.5 )

From the z table  the area under the normal curve to the left corresponding to  2.5  is

    P( Z  < 2.5 ) = 0.99379

=> P(\= X \ge 51 ) =1-0.99379

=> P(\= X \ge 51 ) =0.0062

Considering question b

The sample size is  n = 40

   Generally the standard error of the mean is mathematically represented as

      \sigma_x = \frac{\sigma }{\sqrt{n} }

=>   \sigma_x = \frac{ 1.2 }{\sqrt{40} }

=>  \sigma_x = 0.1897

Generally the (approximate) probability that the sample mean hardness for a random sample of 40 pins is at least 51 is mathematically represented as  

       P(\= X \ge 51 ) = P( \frac{\= X - \mu }{\sigma_x}  \ge \frac{51 - 50 }{0.1897 } )

=> P(\= X \ge 51 ) = P(Z  \ge 5.2715  )

=>  P(\= X \ge 51 ) = 1- P(Z < 5.2715  )

From the z table  the area under the normal curve to the left corresponding to  5.2715 and

=>  P(Z < 5.2715  ) = 1

So

   P(\= X \ge 51 ) = 1- 1

=> P(\= X \ge 51 ) = 0

5 0
2 years ago
last year a large trucking company delivered 9.0x10^5 tons of goods with an average value of $17,000 per ton. what was the total
lana66690 [7]
The answer is 1.53x10^10 dollars.

You get this answer by multiplying the total amount of goods in tons (900,000) by the average value of the goods ($17,000 per ton) to get your answer of 1.53x10^10 dollars.
3 0
3 years ago
Read 2 more answers
Order the steps to show how to solve the equation 2(4x-11)+9=19
Elina [12.6K]

Answer:x=4

Step-by-step explanation:

6 0
3 years ago
Read 2 more answers
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