An Annotated/labeled data pool is an important asset for a data scientist. The more annotated data you can gather, the better your model estimations become towards the unknown variables. A team of data scientists is going to label a new dataset for both future use and the improvement of your current model estimates. They started by recording the amount of time it takes to label one record of data, and found that it took on average 5 minutes for them to do so. They also noted that there is a standard deviation of 5 minutes for the recording time as well. They are allowed to spend 4 hours per day this week (only Monday to Friday) to perform this annotation task. Please find out at most how many records would be labelled by the team in a single week with a probability of at least 97.5%?
An Annotated/labeled data pool is an important asset for a data scientist. The more annotated data you can gather, the better your model estimations become towards the unknown variables. A team of data scientists is going to label a new dataset for both future use and the improvement of your current model estimates. They started by recording the amount of time it takes to label one record of data, and found that it took on average 5 minutes for them to do so. They also noted that there is a standard deviation of 5 minutes for the recording time as well. They are allowed to spend 4 hours per day this week (only Monday to Friday) to perform this annotation task. Please find out at most how many records would be labelled by the team in a single week with a probability of at least 97.5%?
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