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tatuchka [14]
3 years ago
5

Which measurement is most accurate to describe the weight of a baby

Mathematics
2 answers:
artcher [175]3 years ago
5 0

Answer:

Option 4). 4.5 kg

Step-by-step explanation:

The given options for the weight of a baby are

1) 5000 mg = 5000/1000 gms = 5 gms = .005 kg

2) 1400 g = 1.5 kg

3) 350 mg = 0.35 gms = 0.35(10^{-3}) kg

4) 4.5 kg

Out of these options option 4 is the most suitable weight that describes the weight of a baby.

Lapatulllka [165]3 years ago
5 0
<h2>Answer:</h2>

<u>The right choice is </u><u>(D) 4.5 kg</u>

<h2>Step-by-step explanation:</h2>

If we look at the choices given above

5000 mg = 0.005kg which is not possible for the weight of a baby.

Similarly 1400 kg equals 1.4 kg which also doesn't make sense. In the same way 350 mg is also very less value for the weight of a baby so the only option that is suitable is 4.5kg which is option D

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What is 7 billion in standard form?
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If by standard from you mean numbers (123) and not words then

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3 years ago
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ikadub [295]

Answer:

The 95% confidence interval for the average number of years until the first major repair is (3.1, 3.5).

Step-by-step explanation:

The (1 - <em>α</em>)% confidence interval for the average using the finite correction factor is:

CI=\bar x\pm z_{\alpha/2}\cdot\frac{\sigma}{\sqrt{n}}\cdot\sqrt{\frac{N-n}{N-1}}

The information provided is:

N=1500\\n=183\\\sigma=1.47\\\bar x=3.3

The critical value of <em>z</em> for 95% confidence level is,

<em>z</em> = 1.96

Compute the 95% confidence interval for the average number of years until the first major repair as follows:

CI=\bar x\pm z_{\alpha/2}\cdot\frac{\sigma}{\sqrt{n}}\cdot\sqrt{\frac{N-n}{N-1}}

     =3.3\pm 1.96\times\frac{1.47}{\sqrt{183}}\times\sqrt{\frac{1500-183}{1500-1}}\\\\=3.3\pm 0.19964\\\\=(3.10036, 3.49964)\\\\\approx (3.1, 3.5)

Thus, the 95% confidence interval for the average number of years until the first major repair is (3.1, 3.5).

7 0
3 years ago
Lotteries are an important income source for various governments around the world. However, the availability of lotteries and ot
SashulF [63]

Answer: 0.0473

Step-by-step explanation:

Given : The proportion of gambling addicts : p=0.30

Let x be the binomial variable that represents the number of persons are gambling addicts.

with parameter p=0.30 , n= 10

Using Binomial formula ,

P(x)=^nC_xp^x(1-p)^{n-x}

The required probability = P(x>5)=P(6)+P(7)+P(8)+P(9)+P(10)\\\\=^{10}C_6(0.3)^6(0.7)^{4}+^{10}C_7(0.3)^7(0.7)^{3}+^{10}C_8(0.3)^8(0.7)^{2}+^{10}C_9(0.3)^9(0.7)^{1}+^{10}C_{10}(0.3)^{10}(0.7)^{0}\\\\=\dfrac{10!}{4!6!}(0.3)^6(0.7)^{4}+\dfrac{10!}{3!7!}(0.3)^7(0.7)^{3}+\dfrac{10!}{2!8!}(0.3)^8(0.7)^{2}+\dfrac{10!}{9!1!}(0.3)^9(0.7)^{1}+(1)(0.3)^{10}\\\\=0.0473489874\approx0.0473

Hence, the required probability = 0.0473

5 0
3 years ago
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