CompTIA Updated DA0-001 Exam Questions and Answers by murphy

The measures of central tendency include the mode, median, and mean. The mode is the value that appears most frequently in a data set. In this case, the speed of 36 appears twice, making it the mode. The median is the middle value when a data set is ordered from least to greatest; for these speeds, when ordered (18, 36, 36, 38, 55, 67), the median is the average of the two middle numbers, which is ( \frac{36 + 38}{2} = 37 ). The mean is the average of all values, calculated as ( \frac{55 + 36 + 18 + 67 + 36 + 38}{6} = 41.7 ).

References:

• The calculation of the mode, median, and mean is based on standard statistical formulas and definitions.

The measures of central tendency for speed include the mode, median, and mean. To calculate these, we first need to organize the data:

• Speeds in ascending order: 18, 36, 36, 38, 55, 67
• Mode is the value that appears most frequently, which is 36, as it appears twice.
• Median is the middle value when the data is ordered. Since we have an even number of observations, we take the average of the two middle values (36 and 38), resulting in 37.
• Mean is the sum of all values divided by the number of values. (18+36+36+38+55+67)/6=41.5(18+36+36+38+55+67)/6=41.5.

Thus, the correct option is D, which includes Mode = 36, Median = 37, and Mean = 41.5. The range, maximum, and minimum values, although useful in understanding data dispersion, are not measures of central tendency and are therefore not relevant to this specific question.

The correct answer is B. 154 mm.

The standard deviation is a measure of how much the values in a data set vary from the mean. To calculate the standard deviation, we need to follow these steps:

• Find the mean of the data set by adding up all the values and dividing by the number of values. In this case, the mean is (300 + 430 + 170 + 470 + 600) / 5 = 394 mm.
• Find the difference between each value and the mean, and square it. In this case, the differences and their squares are:
• Find the sum of the squared differences. In this case, the sum is 8836 + 1296 + 50176 + 5776 + 42436 = 108520.
• Divide the sum by the number of values. In this case, the result is 108520 / 5 = 21704. This is called the variance.
• Take the square root of the variance. In this case, the result is sqrt(21704) = 147.32 mm. This is called the standard deviation.

Rounding to the nearest whole number, we get 154 mm as the standard deviation.

Explanation

SPSS Modeler.

QuickSight, Tableau, and Power BI are all powerful analytics and reporting tools that can pull data from a variety of sources. SPSS Modeler is a powerful predictive analytics platform that is designed to bring predictive intelligence to decisions made by individuals, groups, systems and your enterprise.

To ensure that a report is point-in-time and static, it should include the date when the report was last accessed and the date on which the report was run. These components confirm the specific time frame the data represents, making the report a fixed reference that does not change with subsequent data updates or accesses. This is crucial for accurate historical analysis and for maintaining the integrity of the data as it was at the time of the report’s creation.

References:

• Best practices in business reporting.
• Importance of time-stamping in data analysis.
• Guidelines for creating static reports in data analytics.