Answer:
B) Worksheet
Explanation:
In Microsoft Excel and all the other spreadsheet applications, a worksheet is a file that contains cells, the cells are an intersections of rows and columns, and it provides the interface where the users can input and modify data, because of the row/column nature of worksheets, a table structure can easily be developed for the organization of data/information from where they can be plotted to a chart. Hence every chart has a corresponding worksheet containing its numerical data.
Answer:
Operational excellence
Explanation:
Operational excellence is the execution of a business strategy more consistently and reliably than the competition.
Smooth delivery of services and reliability are key factors that are used to measure operational excellence in businesses.
<em>The question is simply to test the understanding of the various concepts in business management .</em>
Package delivery and phone companies are businesses that relate directly with the general public, and they have a lot of competition. To thrive, they need operational excellence which covers the effective and consistent satisfaction of their customers.
No longer produced or used; out of date.
Answer:
The answer is option (4) Maximize redundancy as normalization minimizes redundancy of data.
Explanation:
Normalization of databases leads to minimization of data redundancy in databases. It doesn't maximize data redundancy. Data redundancy leads to wastage of resources. Normalization of databases minimizes insertion anomolies. Normalization of databases minimizes deletion anomolies. Normalization of databases minimizes updation anomolies. So , the answer to the question is option (4) maximize redundancy.
Answer:
a. count of observations that meet a condition (counts), total number of observations (nobs), Hypothesized value of population proportion (value).
Explanation:
In other to use the proportion_ztest method, the need to make import from the statsmodel module ; statsmodels.stats.proportion.proportions_ztest ; this will allow use use the Z test for proportion and once this method is called it will require the following arguments (count, nobs, value=None, alternative='two-sided', prop_var=False)
Where;
nobs = number of observations
count = number of successes in the nobs trial or the number of successes for each independent sample.
Value = hypothesized value of the population proportion.
