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algol13
3 years ago
6

A standard step height is 8". If there are 6 steps, how high is the top landing in feet? *

Mathematics
1 answer:
DENIUS [597]3 years ago
5 0

Answer:

4 feet

Step-by-step explanation:

If the standard step height is 8", this means that every step in a staircase will have a height of 8". If there are a total of 6 steps in the staircase we can simply multiply the number of steps by the height of each individual step to get the total height of the top landing. Like so...

6 * 8 = 48"

Finally, we can see that the top landing for the stairs is 48". We can turn this into feet by dividing by 12 since there are 12" in a foot

48 / 12 = 4 feet

Therefore, the top landing will have 4 feet ( or 48 inches)

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Which term can be added to the list so that the greatest common factor of the three terms is 12h3? 36h3, 12h6, __________
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Answer:

36h6

Step-by-step explanation:

7 0
3 years ago
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Two coworkers commute from the same building. They are interested in whether or not there is any variation in the time it takes
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Answer:

Step-by-step explanation:

Hello!

You have two samples.

Sample 1 (time that takes one commute of worker 1)

n₁= 20

S₁²= 12.2

Sample 2 (time that takes one commute of worker 2)

n₂= 20

S₂²= 16.9

The hypothesis is that the first coworker is more consistent with his commute times, this means that the variability of his commute times is less than the variability of the commute times of worker 2. With this in mind, the hypothesis for a variance ratio test is:

H₀: σ₁² ≥ σ₂²

H₁:: σ₁² < σ₂²

α: 0.10

The statistic for this test is:

F= (S₁²/S₂²) * (σ₁²/σ₂²) ~ F_{n1-1;n2-1}

The test is one-tailed (left) with just one critical value:

F_{n_1-1;n_2-1;\alpha } = \frac{1}{F_{n_2-1;n_1-1;1-\alpha }} = \frac{1}{F_{19;19;0.90}} = \frac{1}{1.82} =0.549

(The F-table I use only has the values for high probabilities so I've used a conversion method to obtain the value for the small probability)

Your decision rule is:

If F ≤ 0.549, you reject the null hypothesis.

if F > 0.549, you support the null hypothesis.

The calculated value:

F= (S₁²/S₂²) * (σ₁²/σ₂²) = (12.2/16.9) * 1= 0.722

Since the calculated F-value is greater than the critical value, the decision is to not reject the null hypothesis. So you can say that the variability of the commute times of worker 1 is less than the variability of the commute times of worker 2.

I hope you have a SUPER day!

7 0
3 years ago
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Answer:

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Answer:

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