Are there less than 1 million, exactly 1 million, or greater than 1 million milligrams in 1 kilogram? Explain how you know

Mathematics

2 answers:

NISA [10]3 years ago

5 0

It is exactly one million milligrams

erastovalidia [21]3 years ago

5 0

Okay! Metric system.
K(kilo)
H(hecto)
D(eca)
B(gram, liter, etc.)
d(deci)
C(centi)
M(milli)

Since we have to go from Milli to Kilo, we count the number of spaces between them. 6 spaces. 6 zeroes. Slap a one onto that (since it's one kilo and one milli)
and you've got 1000000. One Million. It's not 0.000001 because it goes up, or if it were horizontal, to the left, meaning the decimal point goes to the right. (yes, confusing. it's hard to explain without visuals) This sounds really confusing, and even reading back at it, it's confusing for me, but I'm not good at explaining. Sorry.

You might be interested in

Help meeeeeeeeeeee with all of these questions

kaheart [24]

Answer:
1. Step 2: 2a-6+6 Step 3: 2a
2. Step 2: 8(2d+3)

Step by step explanation:
Here’s my work form what I seen:

6 0

3 years ago

* Find the area of a triangle: Base of 8 cm Hight of 9 cm

Sliva [168]

Answer:

36 cm

Step-by-step explanation:

The formula to find the area of a triangle is A=1/2bh where b stands for base and h for height.

So, 8 times 9 equals 72, and 72 divided by 2 is 36.

5 0

2 years ago

Paula is located at a position of −12 feet relative to the ground. Which statement shows the distance she is from ground level?

Bess [88]

She is 12 feet below ground level

6 0

3 years ago

What is the slope of the line?

8090 [49]

The slope of the line is -(1/2)

5 0

2 years ago

An HP laser printer is advertised to print text documents at a speed of 18 ppm (pages per minute). The manufacturer tells you th

aliya0001 [1]

Answer:

0.227 = 22.7% probability that the mean printing speed of the sample is greater than 18.12 ppm.

Step-by-step explanation:

To solve this question, we need to understand the normal probability distribution and the central limit theorem.

Normal Probability Distribution:

Problems of normal distributions can be solved using the z-score formula.

In a set with mean $\mu$ and standard deviation $\sigma$ , the z-score 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 p-value, we get the probability that the value of the measure is greater than X.

Central Limit Theorem

The Central Limit Theorem estabilishes that, for a normally distributed random variable X, with mean $\mu$ and standard deviation $\sigma$ , the sampling distribution of the sample means with size n can be approximated to a normal distribution with mean $\mu$ and standard deviation $s = \frac{\sigma}{\sqrt{n}}$ .