Explanation:
In Nepal, the most common method of filing is alphabetical.
If multiple names begin with the same letter, the next letter in each name is considered. This approach offers flexibility.
Response:
The correct selections are options A and B
Clarification:
The CRM system refers to a system designed to collect and manage customer account data within a unified database and provide access through various networks such as intranet and internet. Thus, the involved components include data warehouses and databases, and it functions as a sophisticated analytical tool.
The mean is represented as μ = 58 and the standard deviation σ = 5. With given values of x₁ = 48.5 and x₂ = 60, we compute t-values through the formula t = (x₂ - μ) / σ, which leads to t = (60 - 58) / 5 = 0.4, yielding an area of 0.1554 from the normal distribution curve. Similarly, for the lower value, t is computed as (μ - x₁)/ σ, resulting in t = (58 - 48.5) / 5 = 1.9 with an area of 0.4713. Totaling these, the total area under the curve is 0.4713 + 0.1554 equating to 0.6267 or 62.67%.
Answer:
The soft drink costs more when purchased in a can.
The can is $0.044 more per ounce than the bottle.
Explanation:
From the information in the question:
Price for a 12-oz can = 75 cents = $0.75
Price for a 2-liter bottle = $1.25
To find the cost per ounce for the can = $0.75 divided by 12
= $0.0625 per ounce
For the bottle:
Total ounces contained = 2 × 1.057 × 32 oz [As 1.0 L = 1.057 qt, 1 qt = 32 oz]
= 67.648 oz
Thus,
Cost per ounce for the bottle = $1.25 divided by 67.648 oz
= $0.0185 per ounce
Consequently,
The soft drink costs more in a can.
Price difference = $0.0625 per ounce - $0.0185 per ounce
= $0.044 per ounce
Therefore,
The can is $0.044 more expensive than the bottle.
Answer:
- As explained below, with the individual’s score in the 0.03125 fraction of top candidates, they can anticipate securing a position.
Explanation:
Utilizing Chebyshev’s Theorem is key.
This theorem is valid for any dataset, irrespective of its shape.
Chebyshev's Theorem states that at least 1−1/k² of the data falls within k standard deviations from the mean.
For this data set, the specifics are:
- mean: 60
- standard deviation: 6
- score: 84
The number of standard deviations that 84 is from the mean can be calculated as:
- k = (score - mean) / standard deviation
- k = (84 - 60) / 6 = 24 / 6 = 4
Hence, the individual’s score is 4 standard deviations above the mean.
How significant is this?
According to Chebyshev’s Theorem, at least 1−1/k² of the data is within k standard deviations from the mean. Setting k = 4 gives us:
- 1 - 1/4² = 1 - 1/16 = 0.9375
- This implies that half of 1 - 0.9375 exceed k = 4: 0.03125
- Consequently, 1 - 0.03125 is below k = 4: 0.96875
With 70 job openings and 1,000 applicants, the ratio is 70/1,000 = 0.07, indicating the company seeks the top 0.07 of applicants.
Given the individual scores in the top 0.03125 of applicants, they can expect to obtain a job.
