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dolphi86 [110]
3 years ago
11

You are saving up to buy a camera, which costs $490. so far, you have saved $175. You would like to buy the camera in three week

s, which inequality represents how much money you have to save each week.
x ≥ $155
x ≤ $105
x ≤ $155
x ≥ $105
Mathematics
1 answer:
kari74 [83]3 years ago
3 0

Answer:

x ≤ $105

Step-by-step explanation:

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m<BCD is equivalent to 148*

Step-by-step explanation:

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A quality control technican checked a sample of 30 bulbs. Two of the bulbs were defective. If the sample was representative, fin
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Answer:30

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Prime factorization of 125
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The prime factorization of 125 is 5 x 5 x 5. This is a unique list of the prime factors, along with their multiplicities. Note that the prime factorization of 125 does not include the number 1, yet it does include every instance of a certain prime factor. 125 is a composite number. Hope this helps you out! :)
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3 years ago
According to the last census (2010), the mean number of people per household in the United States is LaTeX: \mu = 2.58 Assume a
Veseljchak [2.6K]

Answer:

P(2.50 < Xbar < 2.66) = 0.046

Step-by-step explanation:

We are given that Population Mean, \mu = 2.58 and Standard deviation, \sigma = 0.75

Also, a random sample (n) of 110 households is taken.

Let Xbar = sample mean household size

The z score probability distribution for sample mean is give by;

             Z = \frac{Xbar-\mu}{\frac{\sigma}{\sqrt{n} } } ~ N(0,1)

So, probability that the sample mean household size is between 2.50 and 2.66 people = P(2.50 < Xbar < 2.66)

P(2.50 < Xbar < 2.66) = P(Xbar < 2.66) - P(Xbar \leq 2.50)

P(Xbar < 2.66) = P( \frac{Xbar-\mu}{\frac{\sigma}{\sqrt{n} } } < \frac{2.66-2.78}{\frac{0.75}{\sqrt{110} } } ) = P(Z < -1.68) = 1 - P(Z  1.68)

                                                              = 1 - 0.95352 = 0.04648

P(Xbar \leq 2.50) = P( \frac{Xbar-\mu}{\frac{\sigma}{\sqrt{n} } } \leq \frac{2.50-2.78}{\frac{0.75}{\sqrt{110} } }  ) = P(Z \leq  -3.92) = 1 - P(Z < 3.92)

                                                              = 1 - 0.99996 = 0.00004  

Therefore, P(2.50 < Xbar < 2.66) = 0.04648 - 0.00004 = 0.046

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3 years ago
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Answer:

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Step-by-step explanation:

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