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ivanzaharov [21]
3 years ago
5

What is radical 64/8 simplified

Mathematics
2 answers:
Luda [366]3 years ago
4 0
The answer is 8, because 64÷8= 8!simple
Sergeu [11.5K]3 years ago
3 0

Answer:

2^(6-3) = 2^3 = 8

Step-by-step explanation:

To simplify radical 64/8

We will express 64 and 8 in powers of 2

64 = 2×2×2×2×2×2= 2^6

8 = 2×2×2=2^3

From the law of indices,

a^5 / a^3 = a^ (5-3) = a^2

Applying this law of indices to the given radical,

64/8 = 2^6/ 2^3

= 2^(6-3)

= 2^3 = 8

Also, we can try another way. since

64 = 2×2×2×2×2×2= 2^6

8 = 2×2×2=2^3

64/8 = 2×2×2×2×2×2 / 2×2×2

2×2×2 cancels out 2×2×2 and

It remains 2×2×2 = 8

So which ever way we do it,

radical 64/8 simplified is 2^3 = 8

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The Great Wall is more than 20,000 kilometers long about 3/4 of it is considered properly preserved
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3 years ago
The range of 16,23,55,64,49
miskamm [114]

Answer: 48

Step-by-step explanation: To find the range of the data set shown here, remember that the range is the difference between the greatest number in the data set and the least number in the data set.

<em>Greatest number</em> → 64

<em>Least number → </em>16

Now, we need to subtract 16 from 64.

64 - 16 = 48

Therefore, the range of the data set is 48.

7 0
3 years ago
A highway department executive claims that the number of fatal accidents which occur in her state does not vary from month to mo
den301095 [7]

This question is incomplete, the complete question;

A highway department executive claims that the number of fatal accidents which occur in her state does not vary from month to month. The results of a study of 193 fatal accidents were recorded. Is there enough evidence to reject the highway department executive's claim about the distribution of fatal accidents between each month? Month Jan Feb Mar Apr May Jun Jul Aug Sep Oct Nov Dec Fatal Accidents 11 13 22 11 15 29 15 9 13 15 22 18

Step 10 of 10 : State the conclusion of the hypothesis test at the 0.1 level of significance.

Answer: H₀ : The distribution of fatal accidents between each month is same

Step-by-step explanation:

H₀ : The distribution of fatal accidents between each month is same

H₁ : The distribution of fatal accidents between each month is different

Let the los be alpha 0.10

given data ;

       Observed    Expected  

Mon   Freq (Oi)   Freq Ei       (Oi-Ei)^2 /Ei

Jan      11    16.0833        1.606649

Feb      13    16.0833        0.591105

Mar      22    16.0833        2.176598

Apr       11    16.0833        1.606649

May     15    16.0833        0.072971

Jun     29    16.0833        10.373489

Jul     15    16.0833        0.072971

Aug       9    16.0833        3.119603

Sep      13    16.0833        0.591105

Oct      15    16.0833        0.072971

Nov      22    16.0833        2.176598

Dec      18    16.0833       0.228411

Total:   193     93                22.689119

Expected Freq ⇒ 193 / 12 = 16.08333

Test Statistic, x² : 22.6891

Num Categories: 12

Degrees of freedom: 12 - 1 = 11

Critical value X² : 24.725

P-Value: 0.0195

since Chi-square value < Chi-square critical value

and P-value > alpha 0.01 so we accept H₀

Therefore we conclude that the distribution of fatal accidents between each month is same

7 0
3 years ago
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