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3 years ago

Help me with this question ASAPPPP!!!!!!!

Mathematics

2 answers:

morpeh [17]3 years ago

4 0

Answer:

Step-by-step explanation:

I think its B

Hope this helps!

Vlada [557]3 years ago

3 0

Answer is B , hope this helped <3

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Fggggggggggggggggggggb

zavuch27 [327]

Answer:

herbert can translate that for you

Step-by-step explanation:

4 0

3 years ago

Read 2 more answers

Sodas in a can are supposed to contain an average 12 oz. This particular brand has a standard deviation of 0.1 oz, with an avera

hoa [83]

Answer:

The probability is $P(X < 12) = 0.99286$

Step-by-step explanation:

From the question we are told that

The population mean is $\mu = 12 \ oz$

The standard deviation is $\sigma = 0.1 \ oz$

The sample mean is $\= x = 12.1 \ oz$

The sample size is n = 6 packs

The standard error of the mean is mathematically represented as

$\sigma_{\= x } = \frac{\sigma}{\sqrt{n} }$

substituting values

$\sigma_{\= x } = \frac{0.1}{\sqrt{6} }$

$\sigma_{\= x } = 0.0408$

Given that the can’s contents follow a Normal distribution then then the probability that the mean contents of a six-pack are less than 12 oz is mathematically represented as

$P(X < 12) = P ( \frac{X - \mu }{ \sigma_{\= x }} < \frac{\= x - \mu }{ \sigma_{\= x }} )$

Generally $\frac{X - \mu }{ \sigma_{ \= x }} = Z (The \ standardized \ value \ of \ X )$

$P(X < 12) = P ( Z < \frac{\= x - \mu }{ \sigma_{\= x }} )$

substituting values

$P(X < 12) = P ( Z < \frac{12.2 -12 }{0.0408} )$

$P(X < 12) = P ( Z < 2.45 )$

From the normal distribution table the value of $P ( Z < 2.45 )$ is

$P (Z < 2.45)0.99286$

=> $P(X < 12) = 0.99286$

4 0

3 years ago

Please help asap really important

kirill115 [55]

1) slope-2/3, y-intercept-(0,6)
2) slope- -2/3, y-intercept-(0,-3)
3) slope- 8, y-intercept-(0,-6)
4) slope- 6, y-intercept-(0,-8)

6 0

3 years ago

I need help on 6 please

IrinaK [193]

The answer is 71.89

7 0

3 years ago

Which is bigger 0.45 or 2/5

vlada-n [284]

$\frac{2}{5} =0.4\\\\ 0.4 \ \textless \ 0.45\\\\\\\frac {2}{5} \ \textless \ 0.45$

7 0

3 years ago

Read 2 more answers