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4 years ago

73,569 round to the nearest ten thousand

Mathematics

2 answers:

stellarik [79]4 years ago

5 0

The answer is 74,000.

Remember, 5 or more - round up. 4 and below - round down. Hope this Help!

nevsk [136]4 years ago

3 0

70,000 because the 3 in the thousands place is less than 5.

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−1 ≤ x/-4 − 3<br><br>Solve the inequality. Show all steps.

makkiz [27]

Answer:

≤ − 8

Step-by-step explanation:

-1 ≤ $\frac{x}{-4}$ -3

4 ×(-1) ≤ 4 × $\frac{x}{-4}$ -4×3

-4 × (-1) ≤ -x - 4×3

-4 ≤ -x - 12

x ≤ -12 + 4

x ≤ -8

4 0

2 years ago

Set B is defined as B={x|x is an integer}. Name two elements of B.

jenyasd209 [6]

By definition we have an integer number given by:
An integer is an element of the numeric set that contains the natural numbers {N} = {1,2,3,4, ...}, its opposite and zero.
On the number line we find the negative numbers to the left of the zero and to its right the positive numbers.
We have then, according to the definition, that the following are whole numbers:
-527, 1
Answer:
B = {x | x is an integer}
-527 ∈ B
1 ∈ B
option D

7 0

4 years ago

Read 2 more answers

What is an example of when you would want consistent data and, therefore, a small standard deviation?

steposvetlana [31]

Answer:

12.1, 12.3,12.4,12.5,12.3,12.1,12.2

$\bar X= \frac{12.1+12.3+12.4+12.5+12.3+12.1+12.2}{7}=12.271$

And for the standard deviation we can use the following formula:

$s= \sqrt{\frac{\sum_{i=1}^n (X_i -\bar X)^2}{n-1}}$

And after replace we got:

$s = 0.1496$

And as we can ee we got a small value for the deviation <1 on this case.

Step-by-step explanation:

For example if we have the following data:

12.1, 12.3,12.4,12.5,12.3,12.1,12.2

We see that the data are similar for all the observations so we would expect a small standard deviation

If we calculate the sample mean we can use the following formula:

$\bar X=\frac{\sum_{i=1}^n X_i}{n}$

And replacing we got:

$\bar X= \frac{12.1+12.3+12.4+12.5+12.3+12.1+12.2}{7}=12.271$

And for the standard deviation we can use the following formula:

$s= \sqrt{\frac{\sum_{i=1}^n (X_i -\bar X)^2}{n-1}}$

And after replace we got:

$s = 0.1496$

And as we can ee we got a small value for the deviation <1 on this case.

8 0

3 years ago

The diameter of bushings turned out by a manufacturing process is a normally distributed random variable with a mean of 4.035 mm

Andrew [12]

A) the z score for 95% is 1.96

Multiply by the deviation:

1.96 x 0.005 = 0.0098

Now add and then subtract that from the mean:

4.035 - 0.0098 = 4.0252

4.035 + 0.0098 = 4.0448

The interval is (4.0252, 4.0448)

B) 4.035 +/- 1.96 x sqrt( 0.005/sqrt(25))

= 4.035 +/-0.00196

Answer: ( 4.033, 4.037)

C) the conclusion is that both 4.020 and 4.055 are out of the range.

4.020 is below the lowest range and 5.055 is higher than highest range.

6 0

4 years ago

The scatter plot suggests a relationship between time and the distance from the destination. The equation of the line of best fi

viva [34]

Answer:

Strong Negative

Step-by-step explanation:

We already know that the answer is between c and d because the correlation coefficient negative.

We just have to figure out whether it is strong or weak.

In general, anything between -.7 and -1 is considered to have a strong correlation. -.8 is in between -.7 and -1 therefore the correlation is best described as strong negative.

4 0

3 years ago