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CompTIA Data+ Certification Exam Sample Questions (Q40-Q45):
NEW QUESTION # 40
Given the table below:
Which of the following variable types BEST describes the "Year" column?
- A. Text
- B. Date
- C. Numeric
- D. Alphanumeric
Answer: B
Explanation:
This is because date is a type of variable that represents a specific point or period in time, such as a day, a month, or a year. Date variables can be used to store, manipulate, or analyze temporal data, such as transaction dates, birth dates, or expiration dates. For example, date variables can be used to calculate the duration or the difference between two dates, or to filter or sort the data by date. The other variable types are not correct descriptions of the "Year" column. Here is why:
* Numeric is a type of variable that represents a numerical value, such as an integer, a decimal, or a fraction. Numeric variables can be used to store, manipulate, or analyze quantitative data, such as amounts, prices, or scores. For example, numeric variables can be used to perform arithmetic operations or calculations on the data, or to measure the central tendency or the dispersion of the data.
* Alphanumeric is a type of variable that represents a combination of alphabetic and numeric characters, such as letters, numbers, symbols, or spaces. Alphanumeric variables can be used to store, manipulate, or analyze textual data, such as names, addresses, or codes. For example, alphanumeric variables can be used to concatenate or split the data, or to search or match the data using patterns or expressions.
* Text is a type of variable that represents a sequence of alphabetic characters, such as letters or words.
Text variables can be used to store, manipulate, or analyze textual data, such as names, categories, or labels. For example, text variables can be used to change the case or the length of the data, or to compare or classify the data using criteria or rules.
NEW QUESTION # 41
You would like to know whether the mean height of a group of children is statistically significantly different from that of another group.
What statistical test would be most appropriate?
- A. Sigma test
- B. p-test
- C. Chi-square test
- D. t-test
Answer: D
NEW QUESTION # 42
A data analyst has received a data set that contains actual and projected sales for the fourth quarter of 2019. Which of the following statistical methods should the analyst use to find the measure of dispersion?
- A. Confidence interval
- B. Variance
- C. Mean
- D. Correlation
Answer: B
Explanation:
The measure of dispersion is used to describe the spread of data around a central value. In the context of a data set containing actual and projected sales, the measure of dispersion will help to understand the variability or consistency of sales figures. The variance is themost appropriate statistical method for finding the measure of dispersion because it calculates the average of the squared differences from the Mean, providing a clear picture of data spread. It is especially useful in comparing the spread between different data sets and understanding the distribution of data points.
Mean is a measure of central tendency, not dispersion.
Correlation measures the relationship between two variables, not the spread of a single variable.
Confidence intervals are used to estimate the range within which a population parameter will fall, but they do not measure dispersion within the data set itself.
Reference:
Measures of Dispersion in Statistics1
Measures of Dispersion - Definition, Formulas, Examples2
Statistical dispersion - Wikipedia3
NEW QUESTION # 43
A data set has the following values:
Which of the following is the best reason for cleansing the data?
- A. Data outliers
- B. Missing data
- C. Invalid data
- D. Redundant data
Answer: B
Explanation:
Comprehensive and Detailed In-Depth Explanation:
In this dataset, we can see an issue withincomplete or missing data:
* Cameron Smith's "Date of Birth" field is Null, which indicatesmissing datathat needs to be filled in.
* The format inconsistency in "Date of Birth" (e.g., "13-Jun" vs. "Dec 14") can also be problematic, requiring standardization.
* Option A (Invalid data):Incorrect. The data is not necessarily invalid, but it is incomplete.
* Option B (Redundant data):Incorrect. Redundant data means unnecessary duplication, which is not the case here.
* Option C (Data outliers):Incorrect. Outliers refer to values that are extremely different from the rest of the dataset, which does not apply here.
* Option D (Missing data):Correct.The "Date of Birth" field has missing values (e.g., "Null"), requiring data cleansing.
NEW QUESTION # 44
Which of the following is a characteristic of a relational database?
- A. It is structured in nature.
- B. It has undefined fields.
- C. It uses minimal memory.
- D. It utilizes key-value pairs.
Answer: A
NEW QUESTION # 45
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