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Kazeer [188]
2 years ago
13

Solve the measurement conversion problem. 1g= 1,000mg

Mathematics
2 answers:
Lelu [443]2 years ago
8 0

Answer:

1g = 1000mg

30g = ?

30 × 1000 ÷ 1 = 3000

3000mg × 5 = D) 150 000

elena-s [515]2 years ago
3 0

Answer:

C

Step-by-step explanation:

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1) adjacent

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3) complementary

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5) linear pair

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7) complementary

8) vertical

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3 0
1 year ago
Use distributive law to factor the given expression: 3+21a+15b
Reil [10]

Answer:

3(1+7a+5b)

Step-by-step explanation:

The distributive law states that

a\cdot (b+c)=a\cdot b+a\cdot c.

The expression 3+21a+15b consists of three terms:

  1. 3=3·1;
  2. 21a=3·7a;
  3. 15b=3·5b.

You can see that 3 is the common factor of these three terms, thus

3+21a+15b=3(1+7a+5b).

6 0
3 years ago
1 point Write the equation of the line that is parallel to the line given and through the given point. Do not use spaces in your
Otrada [13]

Answer:

y=3x+9......(i)

y=-4x-12...(ii)

these are the equation

5 0
3 years ago
What Does The M And B Stand For In y=mx+b
Misha Larkins [42]

Answer:

The 'm' stands for slope and the 'b' stands for the y-intercept, which is where the line crosses the y-axis.

6 0
3 years ago
Read 2 more answers
Thickness measurements of ancient prehistoric Native American pot shards discovered in a Hopi village are approximately normally
Dafna1 [17]

Answer:

a) 0.0869 = 8.69% probability that the thickness is less than 3.0 mm

b) 0.0668 = 6.68% probability that the thickness is more than 7.0 mm

Step-by-step explanation:

Problems of normally distributed samples are solved using the z-score formula.

In a set with mean \mu and standard deviation \sigma, the zscore of a measure X is given by:

Z = \frac{X - \mu}{\sigma}

The Z-score measures how many standard deviations the measure is from the mean. After finding the Z-score, we look at the z-score table and find the p-value associated with this z-score. This p-value is the probability that the value of the measure is smaller than X, that is, the percentile of X. Subtracting 1 by the pvalue, we get the probability that the value of the measure is greater than X.

In this problem, we have that:

\mu = 4.9, \sigma = 1.4

(a) the thickness is less than 3.0 mm

This is the pvalue of Z when X = 3.

Z = \frac{X - \mu}{\sigma}

Z = \frac{3 - 4.9}{1.4}

Z = -1.36

Z = -1.36 has a pvalue of 0.0869

0.0869 = 8.69% probability that the thickness is less than 3.0 mm

(b) the thickness is more than 7.0 mm

This is 1 subtracted by the pvalue of Z when X = 7. So

Z = \frac{X - \mu}{\sigma}

Z = \frac{7 - 4.9}{1.4}

Z = 1.5

Z = 1.5 has a pvalue of 0.9332

1 - 0.9332 = 0.0668

0.0668 = 6.68% probability that the thickness is more than 7.0 mm

5 0
3 years ago
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