From the data given above, the investor required rate of return on the firm's stock is 10% and is equal to $4,75 that is expected to be paid each year.
If $4.75 = 10%, then the price of the stock which is 100% will be equal to $4,75 * 10= $47.50.
Therefore, the current price of the stock is $47.50.
Answer:
a) ME= 1.93
b) confidence interval= (19.59,23.45)
Explanation:
a) Sample of customers is 64, population standard deviation is 6 and confidence level is 99%
Sample mean= 21.52
Sample size= 64
Confidence level= 99%
Population standard deviation= 6
Standard error of the mean= 0.75
Z-value= -2.5758 (From Z table)
Interval half width= 1.9319
Margin of error at 99% confidence interval is 1.93 from the output.
b) Confidence interval
Interval upper limit= 19.59
Interval lower limit= 23.45
99% confidence interval is (19.59, 23.45) from the output.
ME=
= 1.93
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Text mining helps companies tap into the massive volume of customer opinions expressed online.
<h3>What is text mining?</h3>
Similar to text analytics, text mining is the technique of extracting high-quality information from text. It is also known as text data mining. It entails "the automatic extraction of information from several written sources to create new, previously unknown information by computer."
The process of converting unstructured text into a structured format with the purpose of identifying significant patterns and fresh insights is known as text mining, also known as text data mining.
Natural language processing is used automatically in text mining to glean insightful information from unstructured material. Text mining automates the process of categorizing texts by sentiment, topic, and intent by converting data into knowledge that computers can comprehend.
To learn more about text mining visit:
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