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Marina86 [1]
3 years ago
15

What is 15,196 rounded to the nearest thousand?A. 15,000B. 15,200C.16,000D. 20,000​

Mathematics
2 answers:
Naddika [18.5K]3 years ago
7 0

Answer:

15,000 because it is the nearest 1000 and the rest is the nearest hundredth, wrong thousandth, and ten-thousands

Step-by-step explanation:

dangina [55]3 years ago
6 0

Answer: 15,000

Step-by-step explanation: 5 or more raise the score, 4 or less let it rest

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The price of this more expensive book was $90.00 ($150 - $60) based on the date acquired from the question above. This problem can be solved using a simple algebra equation which consisted of one variable. The equation is stated as $150 = x + 1.5x (x = $150/2.5 = $60) where x is the price of the cheaper book and 1.5x is the price of the more expensive books because it has 50% higher price than the cheaper book<span>.</span>
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Which point could be on the line that is perpendicular
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Answer:

b (2,2)

Step-by-step explanation:

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A car travels 106.2 miles in 2.3 hours
melisa1 [442]

Answer:

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Step-by-step explanation:

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5 0
3 years ago
Can someone help me with this<br>​
Schach [20]

The first graph the X is 45° because it right angle is 90 degrees Larry give us 55 degrees so 55 subtract the equals 45

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3 0
3 years ago
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A professor would like to test the hypothesis that the average number of minutes that a student needs to complete a statistics e
Elodia [21]

Answer:

The critical value for this hypothesis test is 6.571.

Step-by-step explanation:

In this case the professor wants to determine whether the average number of minutes that a student needs to complete a statistics exam has a standard deviation that is less than 5.0 minutes.

Then the variance will be, \sigma^{2}=(5.0)^{2}=25

The hypothesis to determine whether the population variance is less than 25.0 minutes or not, is:

<em>H</em>₀: The population variance is not less than 25.0 minutes, i.e. <em>σ²</em> = 25.

<em>Hₐ</em>: The population variance is less than 25.0 minutes, i.e. <em>σ²</em> < 25.

The test statistics is:

\chi ^{2}_{cal.}=\frac{ns^{2}}{\sigma^{2}}

The decision rule is:

If the calculated value of the test statistic is less than the critical value, \chi^{2}_{n-1} then the null hypothesis will be rejected.

Compute the critical value as follows:

\chi^{2}_{(1-\alpha), (n-1)}=\chi^{2}_{(1-0.05),(15-1)}=\chi^{2}_{0.95, 14}=6.571

*Use a chi-square table.

Thus, the critical value for this hypothesis test is 6.571.

7 0
3 years ago
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