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3 years ago

Vertical space can be utilized to gain more storage space? True or False

Business

2 answers:

densk [106]3 years ago

7 0

Answer:

TRUE

Explanation:

The space of an environment consists not only of horizontal space, but also of vertical space, which can be used in many normally creative ways. For example, in a kitchen you can put a pipe on the wall and use hooks to hang pans instead of storing them in a cupboard. This is vertical utilization. Thus, it is true that the vertical use of space serves to gain more space.

alexandr402 [8]3 years ago

6 0

True. Vertical space can be used for more storage space, however in most storage units only fifty percent of the total storage is not utilized. Using vertical space will increase the storage space

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An internal study by the Technology Services department at Lahey Electronics revealed company employees receive an average of tw

solong [7]

Answer:

0.2706 ; 0.05265 ; 0.1353

Explanation:

Given that :

λ = 2

According to the poisson distribution formula :

P(x = x) = (λ^x * e^-λ) / x!

P(x = 1) = (2^1 *e^-2) / 1!

P(x = 1) = (2 * 0.1353352) = 0.2706

P(x ≥ 5) = 1 - P(x < 5)

1 - P(x < 5) = 1 - [p(x = 0) + p(x = 1) + p(x = 2) + p(x = 3) + p(x = 4)]

We obtain and add the individual probabilities. To save computation time, we can use a poisson distribution calculator :

1 - P(x < 5) = 1 - (0.13534+0.27067+0.27067+0.18045+0.09022)

1 - P(x < 5) = 1 - 0.94735 = 0.05265

P(x ≥ 5) = 1 - P(x < 5) = 0.05265

Probability that no emails was received :

x = 0

P(x = 0) = (2^0 *e^-2) / 0!

P(x = 0) = (1 * 0.1353352) / 1 = 0.1353

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2 years ago

Derek plans to retire on his 65th birthday. However, he plans to work part-time until he turns 75.00. During these years of part

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den301095 [7]

Answer:

P-value is greater than the significance level, we fail to reject null hypothesis.

Explanation:

Here,

Sample size = n = 120

Sample proportion = p = 0.6500

Population Proportion = $P_{0}$ = 0.5

Level of significance = α = 0.02

Step 1: 

$H_{0}$ : p = 0.5

$H_{1}$ : p < 0.5 (Left tailed test)

Step 2:

The critical vale is = 2.0537

Step 3:

The test statistic is,

z = $\frac{p - p_{0} }{\sqrt{\frac{p_{0} (1-p_{0}) }{n} } }$

Step 5:

Conclusion using critical value: Since the test statistic value is greater than the critical value, we fail to reject null hypothesis.

Step 6:

Conclusion using P-value: Since the P-value is greater than the significance level, we fail to reject the null hypothesis.

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