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1 year ago

Please help me i need help

Mathematics

1 answer:

raketka [301]1 year ago

5 0

Answer:

Step-by-step explanation:

dam harder than my 9th grade test coming up

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Note: Enter your answer and show all the steps that you use to solve this problem in the space provided.

Minchanka [31]

Answer:

Step-by-step explanation:

2k+10 | Both terms share the common factor two, so you can take it out (divide both terms by 2)

2(k+5) | Now if you use the Distributive Property to double check, you get 2k+ 10 again

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2 years ago

When buying bottles of Apple juice Ava spent $1.56 On a 12 -ounce bottle and $0.9 on a 6-ounce bottle. Use unit rates to determi

Verizon [17]

Ok so you divide them and then make sure that 1 is the denominator and the numerator can be anything else

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2 years ago

How do I do this<br>plz help

WINSTONCH [101]

Answer:

Step-by-step explanation:

3 0

2 years ago

Read 2 more answers

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:

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

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

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

=> $P(Z < 5.2715 ) = 1$

$P(\= X \ge 51 ) = 1- 1$

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

5 0

2 years ago

Please help! What are the piecewise functions for this graph? Which means, what is d(t)?

Anna11 [10]

Answer:

idk

Step-by-step explanation:

6 0

2 years ago