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vlabodo [156]
1 year ago
13

Use the angle and the given side to solve for the value of x. Round to the nearest tenth.57°6.х

Mathematics
1 answer:
Svetllana [295]1 year ago
7 0

Given data:

The first angel given is ∠1=54 degrees.

T

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P = $14,300
Arte-miy333 [17]

Answer:

B. 4.29

Step-by-step explanation:

                                                         

4 0
3 years ago
Convert to slope form: 3x-4y=8 then graph the line on the grid.​
alexandr402 [8]

Answer: 3/4

Step-by-step explanation:

Graph the line using the slope and y-intercept, or two points.

Slope: 3/4

HOPE THIS HELPS :)

6 0
3 years ago
A real estate agent earns a 3% commission and has a goal of earning $6,000 in commissions next month. What is the dollar amount
Alex Ar [27]

Answer:

but I will not let him die

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v I I 56r6eyci fee will notify include his

6 0
2 years ago
The standard normal curve shown below models the population distribution of a random variable. What proportion of the values in
patriot [66]
About 32.34% of the values do not lie between the z-scores of -1.3 and 0.75.

First, we need to find the region between the z-scores.

If you look at a normal distribution table, you will get the following values:

0.75 = 77.34%
-1.3 = 9.68%

Subtraction those gives us the area between the z-scores.
77.34 - 9.68 = 67.66%

Now, just subtract that value from 100% to get the amount outside of the area.
100 - 67.66 = 32.34%
4 0
3 years ago
Which of the following regarding the power of a significance test is/are correct? Select all that apply.As the effect size incre
Tanya [424]

According to the theory on the <em>effect size</em> the following statements are correct:

<em>As the standard deviation increases, the power of the test increases</em>. An increment of the standard deviation means that a larger sample size is required for the test and a larger sample size implies that the power increases, which means that as the standard deviation increases the power also increases.

<em>As the sample size increases, the power of a test increases</em>. When the sample size increases the amount of information increases, this means that the probability of rejecting H0 given that H0 is false increases. In other words, the probability that the significance test performs according to reality is larger.

3 0
3 years ago
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