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3 years ago

Put the fracrions on a number line: 1/2 1/4 1/5 1/3

Mathematics

1 answer:

madreJ [45]3 years ago

8 0

Answer: The number line is attached.

1. You have the following fractions given in the problem above:

$\frac{1}{2},\frac{1}{4},\frac{1}{5},\frac{1}{3}$

2. You can write them in decimal form by dividing the numerator and the denominator. Keeping this on mind, you have:

$\frac{1}{2}=0.5$

$\frac{1}{4}=0.25$

$\frac{1}{5}=0.2$

$\frac{1}{3}=0.33$

3. Now, you can put these positive numbers in the number line, as you can see in the figure attached.

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3 years ago

Which describes the correct procedure when converting a number from scientific notation to standard notation if the power of 10

jenyasd209 [6]

Answer:

A. Move the decimal point to the left

Step-by-step explanation:

Given that:

The scientific notation = 10⁻¹⁰

Let recall;

That the standard notation usually took the form of an inverse:

For example;

Let say 10⁻¹ will be $\dfrac{1}{10}$ in scientific notation;

SO, $\dfrac{1}{10} = 0.1$

Now; we are given 10⁻¹⁰ as a scientific notation,

To standard notation, we get:

$10^{-10} = \dfrac{1}{100}$

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3 years ago

State whether the number is a solution to the given inequality.

Andrej [43]

Answer:

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Step-by-step explanation:

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3 years ago

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:

$\mu = 4.9, \sigma = 1.4$