The answer to your question is false
Answer:
d. Appraiser
Explanation:
During a closing appointment, there are many individuals usually present, including the buyer, seller, closing agent, and the attorney. Sometimes the company representative, mortgage lender, and other real estate agents may attend in unique situations. From the list provided the one individual that never attends a closing appointment is the Appraiser. This individual's only job is to estimate the market value of the house before listing it, and once this is done has no involvement in the selling process.
Students learn about how different work places work,and about what sort of work they might enjoy. employers get to "preview" people who might make good workers when they leave school. Schools learn what workplaces are needing from students and can adjust their their curricula to be more relevant.<span />
Answer:
You will need to have $ 55,006.94
Explanation:
We need first to consider the following details according to the problem
We have a Annuity amount of $ 2900, a Rate(r)= 0.51%, and a Time(n)= 5 years (or 20 quarters )
.
To reach to the money that we would need to have in the bank today to meet the expense over the next four years we use the following formula:
PVA= annuity amount × [1 - (1 / (1 + r)n)] / r
PVA= $ 2900 x[ 1-{ 1/(1+0.0051)20)]/0.0051
PVA= $ 55,006.94
Answer:
Kindly check explanation
Explanation:
Raw or original data are usually not readily usable largely because they are usually untidy. These include the data format, unnecessary inclusions in data such as signs and symbols and so on.
Data preprocessing involves the series of operations performed on data before using the to run analytics.
They include :
Data cleaning : This involves the removal of missing data points or filling them with appropriate values,
Data integration : when using data from different sources, this data would have to be combined or merged appropriately.
Data transformation : Data may need to be transformed in other make it usable for its intended purpose. Transformation techniques include standardized or normalized, one hot encoding and so on.
Data Reduction : this include principal componnent analysis and other attribute selection processes.
Analytics has proven to be an important tool in various sectors and industries such as business, technology with its ability to make model based prediction enabling business to move further ahead in production and Decison making, hence driving revenue and growth
