The answer is option "a", Business analytics uses "data mining tools" to support decision-making activities.<span>
</span> Business analytics (BA) alludes to the skills, advancements, technologies and practices for ceaseless iterative investigation and examination of past business execution to pick up knowledge and drive business planning.
Business analytics concentrates on growing new bits of knowledge and comprehension of business execution in view of information and measurable techniques. Conversely, business knowledge generally concentrates on utilizing a steady arrangement of measurements to both measure past execution and guide business arranging, which is likewise in view of information and statistical strategies.
C. A podcast is a prerecorded usually audio about someone discussing a subject.
The closest to the minimum number of consumers needed to obtain the estimate with the desired precision is (b) 271
Explanation:
When the prior estimate of population proportion is not given , then the formula to find the sample size is given by :-

where E = Margin of error.
z* = Critical z-value.
As per given , we have
E = 5%=0.05
Confidence level = 90%
The critical value of z at 90% is 1.645 (By z-table)
Put all values in the formula , we get
n=0.25(1.645/0.05)²
n=0.25(32.9)²
n=270.6025≈271
Thus, the minimum sample size needed = 271
Hence , the correct answer is 271 .
Answer:
The number of shares that Brick should use to calculate 2015 diluted earnings per share are 202,000 shares
Explanation:
The computation of the number of shares are shown below:
= January 1 shares + may 1 shares + convertible cumulative preferred stock
= 170,000 shares × 4 months ÷ 12 months + 200,000 shares × 8 months ÷ 12 months + 12,000 shares
= $56666.67 + $133,333.33 + $12,000
= $202,000 shares
The 4 months are calculated from January 1 to May 1, 2015
And, the 8 months are calculated from May 1 to December 31
The days in inventory for valley markets is 114
<h3>How to calculate the days in inventory for valley markets ?</h3>
Valley markets has an inventory turnover of 3.2
The capital intensity ratio is 1.9
There are 365 days in a year, the days in inventory for valley markets can be calculated as follows
= 366/3.2
= 114
Hence the days in inventory for valley markets is 114
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