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3 years ago

45.701 in expanded form

Mathematics

2 answers:

pantera1 [17]3 years ago

8 0

40+5+7 tenths +0 hundredths + 1 thousandth

Basile [38]3 years ago

4 0

Forty-five and seven tenth and one thousandths.

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In March 2007, the U.S. unemployment rate was 4.4 percent. In August 2008, the unemployment rate was 6.1 percent. Predict what

Luba_88 [7]

Answer:

Increased.

Step-by-step explanation:

In March 2007, the unemployment rate was 4.4 percent. In August 2008 was 6.1 percent. We need to remember that the unemployment rate equals the number of unemployed people divided by the people in the labor force.

Now, if we consider that the labor force remained constant during this period of time (according to the problem) then this would mean that the number of unemployed people actually increased during this period of 17 months.

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3 years ago

(a²b²-c²)(a²b²+c²)<br>simplify

liraira [26]

Answer:

a⁴b⁴ - c⁴

Step-by-step explanation:

The difference of squares formula states that (a - b)(a + b) = a² - b². In this case, a = a²b² and b = c² so a² - b² = (a²b²)² - (c²)² = a⁴b⁴ - c⁴.

6 0

3 years ago

Read 2 more answers

Point H(x,y) moves 12 units left and 4 units up. What is a rule that describes this translation?

Naddika [18.5K]

The x values decrease by 12 and the y increase by 4.

Answer: (x-12, y+4)

5 0

3 years ago

A random sample of 40 binomial trials resulted in 14 successes. test the claim that the population proportion of successes does

mylen [45]

Using the z-distribution, since the p-value of the test is of 0.057 > 0.05, there is not enough evidence that the population proportion of successes does not equal 0.50.

<h3>What are the hypotheses tested?</h3>

At the null hypotheses, we test if the proportion of successes equals 0.5, hence:

$H_0: p = 0.5$

At the alternative hypotheses, we test if it does not equal, hence:

$H_1: p \neq 0.5$

<h3>What is the test statistic?</h3>

The test statistic is given by:

$z = \frac{\overline{p} - p}{\sqrt{\frac{p(1-p)}{n}}}$

In which:

$\overline{p}$ is the sample proportion.

p is the proportion tested at the null hypothesis.

n is the sample size.

For this problem, the parameters are given by:

$n = 40, \overline{p} = \frac{14}{40} = 0.35, p = 0.5$

Hence the test statistic is given by:

$z = \frac{\overline{p} - p}{\sqrt{\frac{p(1-p)}{n}}}$

z = (0.35 - 0.5)/(0.5/sqrt(40))

z = -1.9.

<h3>What is the decision?</h3>

Using a z-distribution calculator, considering a two-tailed test, as we are testing if the proportion is different of a value, with z = -1.9, we get that the p-value of the test is of 0.057.

Since the p-value of the test is of 0.057 > 0.05, there is not enough evidence that the population proportion of successes does not equal 0.50.

More can be learned about the z-distribution at brainly.com/question/16313918

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1 year ago

A group of people were given a personality test to determine if they were Type A or Type B. The results are shown in the table b

aalyn [17]

D) there is not enough information

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3 years ago