Given the following grocery store orders:
If a query is made to the table with the following logic: Order_Total > 132 OR (Order Total >= 25 AND Order_Total < 74>Which of the following is the number of orders that will be returned by the query?
Correct Answer:C
Based on the query logic provided: Order_Total > 132 OR (Order Total >= 25 AND Order_Total < 74), we can manually determine which order totals fit this criteria. By examining the image, these are the Order_Total values that match:
✑ 132.49 (greater than 132)
✑ 108.99 (greater than or equal to 25 and less than 74)
✑ 96.19 (greater than or equal to 25 and less than 74)
✑ 74.49 (greater than or equal to 25 and less than 74)
✑ 41.99 (greater than or equal to 25 and less than 74)
✑ 31.29 (greater than or equal to 25 and less than 74) Thus, six orders satisfy the given conditions.
An analyst is working with the income data of suburban families in the United States. The data set has a lot of outliers, and the analyst needs to provide a measure that represents the typical income. Which of the following would BEST fulfill the analyst??s goal?
Correct Answer:A
his is because median is a type of statistical measure that represents the typical value or central tendency of a data set, which means that it divides the data set into two equal halves, such that half of the values are above it and half are below it. Median can be used to provide a measure that represents the typical income of suburban families in the United States, especially when the data set has a lot of outliers, which means that it has values that are unusually high or low compared to the rest of the data set. Median can provide a measure that represents the typical income of suburban families in the United States, because it is not affected or skewed by the outliers, as it only depends on the middle value or the middle two values of the data set, regardless of how extreme or distant the outliers are. For example, median can provide a measure that represents the typical income of suburban families in the United States, by finding the income value that splits the data set into two equal groups of families, such that 50% of the families have higher incomes and 50% have lower incomes. The other statistical measures are not the best measures to represent the typical income of suburban families in the United States. Here is why:
✑ Mean is a type of statistical measure that represents the average value or central tendency of a data set, which means that it is the sum of all the values divided by the number of values. Mean is not a good measure to represent the typical income of suburban families in the United States, especially when the data set has a lot of outliers, because it is affected or skewed by the outliers, as it takes into account all the values in the data set, regardless of how extreme or distant they are. For example, mean can provide a measure that does not represent the typical income of suburban families in the United States, by finding the income value that is influenced by a few very high or very low incomes, which could make it higher or lower than most of the incomes in the data set.
✑ Mode is a type of statistical measure that represents the most frequent value or
mode of a data set, which means that it is the value that occurs most often in the data set. Mode is not a good measure to represent the typical income of suburban families in the United States, especially when the data set has a lot of outliers, because it is not representative or indicative of the central tendency or distribution of the data set, as it only depends on the count or occurrence of a single value or a few values in the data set, regardless of how common or rare they are. For example, mode can provide a measure that does not represent the typical income of suburban families in the United States, by finding the income value that is repeated more often than others, which could be an outlier or an anomaly in the data set.
✑ Standard deviation is a type of statistical measure that represents the amount of
dispersion or variation of a data set, which means that it quantifies how much the values in a data set vary or deviate from the mean or average of the data set.
Standard deviation is not a measure that represents the typical income of suburban families in the United States, but rather a measure that describes the spread or distribution of their incomes, as well as identifies any outliers or extreme values in their incomes. For example, standard deviation can provide a measure that describes how diverse or homogeneous their incomes are, as well as how far their incomes are from their average income.
A data analyst needs to apply quality control concepts to a data set for accuracy. Which of the following is the best way to do this?
Correct Answer:D
You should always choose the analytics tool that is most appropriate for any given situation, even if that means acquiring a new tool.
Correct Answer:B
The statement is false. You should not always choose the analytics tool that is most appropriate for any given situation, even if that means acquiring a new tool. Acquiring a new tool can be costly, time-consuming, and risky, as it may not be compatible with your existing data sources, systems, or processes. It may also require additional training, maintenance, and support. Therefore, you should always consider the trade-offs between the benefits and drawbacks of acquiring a new tool versus using an existing one. You should also evaluate the feasibility, availability, and reliability of the new tool before making a decision. Reference: CompTIA Data+ (DA0-001) Practice Certification Exams | Udemy
Angela is aggregating data from CRM system with data from an employee system.
While performing an initial quality check, she realizes that her employee ID is not associated with her identifier in the CRM system.
What kind of issues is Angela facing? Choose the best answer.
Correct Answer:B
While this scenario describes a system integration challenge that can be solved with ETL or ELT, Angela is facing a Record linkage issue.