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NEW QUESTION 40
James wants to analyze profit based on sales of five different product categories.
His source data set consists of 5.8 million rows with columns including region, product category, product name, and sales price.
How should he manipulate the data to facilitate his analysis?
Choose the best answer.
- A. Transpose by product category and summarize.
- B. Transpose by region and summarize.
- C. Transpose by product name and summarize.
- D. Transpose by sales price and summarize.
Answer: A
Explanation:
Correct answer B. Transpose by product category and summarize.
We can transpose this data by product category to perform this analysis broken out by product category.
Transposing by sales price, region, or product name will not further his state analytical goal.
NEW QUESTION 41
The ACME Corporation hired an analyst to detect data quality issues in their excel documents. Which of the following are the most common issues? (Select TWO)
- A. Duplicates.
- B. Misspellings.
- C. Commas.
- D. Symbols.
- E. Apostrophe.
Answer: A,B
Explanation:
1. Duplicates
2. Misspellings
The most common data quality issues are difficult to resolve in Excel because of their rigidity. It forces analysts to do a ton of manual work, which results in a high probability of an error being introduced to the data set. Those common issues include:
– Blanks
– Nulls
– Outliers
– Duplicates
– Extra spaces
– Misspellings
– Abbreviations and domain-specific variations
– Formula error codes
When introduced, these errors can skew or even invalidate the resulting analysis. A smart tool would minimize the possibility of error by automating the manual work. In Excel, you might look for data quality issues in one of two ways. First, you might use auto filters on specific columns to scan for anomalies and blanks or you might use a pivot table to find gaps and discrepancies.
In either case, you’re scanning for the anomalies yourself. Suffice it to say that’s not a very efficient process. It also means accuracy is only as good as the analyst’s eye, so the probability of error varies throughout the day.
NEW QUESTION 42
Which of the following contains alphanumeric values?
- A. 0
- B. 13.6
- C. A3J7
- D. 10.1E²
Answer: C
NEW QUESTION 43
The sales grocery store had an average of $8000 per day. The store introduced several advertising campaigns in order to increase sales. To determine whether the advertising campaigns have been effective in increasing sales, a sample of 64 days of sales was selected, and the sample mean was $8000 per day.
The correct null and alternative hypotheses to test whether there has been a significant increase are
- A. Null Sample mean is $8000; Alternative Sample mean is greater than $8000.
- B. Null Population mean is $8000; Alternative; Population mean is greater than $8000.
- C. Null Sample mean is $8000; Alternative Sample mean is greater than or equal to $8000.
- D. Null Population mean is $8000; Alternative; Population mean is greater than or equal to $8000.
Answer: B
Explanation:
Since you are trying to determine whether sales increased above the current average of $8000, the population mean for the null hypothesis is $8000; whereas the mean for the alternative hypothesis is greater than $8000. Hypotheses are always stated in terms of population you are working with, ruling out options A and B.
The test is whether sales are higher than the average of $8000 per day, which rules out option C.
NEW QUESTION 44
Which of the following BEST describes the issue in which character values are mixed with integer values in a data set column?
- A. Data outliers
- B. Invalid data type
- C. Duplicate data
- D. Missing data
Answer: C
NEW QUESTION 45
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