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CompTIA Data+ Certification Exam Sample Questions (Q204-Q209):

NEW QUESTION # 204
Which of the following types of analyses should be used to evaluate the connections and anomalies in a data set when either known patterns are being violated or new patterns are emerging?

A. Correlation
B. Regression
C. Graph
D. Descriptive

Answer: C

NEW QUESTION # 205
Which of the following would be the best way to identify multicollinear attributes in a data set?

A. Correlation coefficient
B. Two-way ANOVA
C. Two-sample f-test
D. Chi-squared test

Answer: A

Explanation:
Multicollinearity in a dataset refers to the situation where two or more predictor variables are highly correlated, meaning that one can be linearly predicted from the others with a substantial degree of accuracy. In such cases, the correlation coefficient is a key statistical measure used to identify the presence of multicollinearity. It quantifies the degree to which two variables are linearly related.
The Variance Inflation Factor (VIF) is another commonly used metric that is derived from the correlation coefficient. It assesses how much the variance of an estimated regression coefficient increases if your predictors are correlated. If no factors are correlated, the VIFs will all be equal to 1.
While the other options listed-Chi-squared test, Two-sample f-test, and Two-way ANOVA-are valuable statistical tools, they serve different purposes and are not typically used to detect multicollinearity. The Chi-squared test is used for testing relationships between categorical variables, the Two-sample f-test compares variances across groups, and Two-way ANOVA is used to understand the interaction between two independent categorical variables on a continuous dependent variable.
Reference:
Multicollinearity in Regression Analysis: Problems, Detection, and Solutions1.
What is multicollinearity and how to remove it?2.
Detect and Treat Multicollinearity in Regression with Python3.

NEW QUESTION # 206
A recurring event is being stored in two databases that are housed in different geographical locations. A data analyst notices the event is being logged three hours earlier in one database than in the other database. Which of the following is the MOST likely cause of the issue?

A. The databases are recording different events.
B. The databases are recording the event in different time zones.
C. The second database is logging incorrectly.
D. The data analyst is not querying the databases correctly.

Answer: B

Explanation:
Explanation
The most likely cause of the issue is that the databases are recording the event in different time zones. For example, if one database is in New York and the other database is in Los Angeles, there is a three-hour difference between them. Therefore, an event that occurs at 12:00 PM in New York would be recorded as 9:00 AM in Los Angeles. To avoid this issue, the databases should either use a common time zone or convert the timestamps to a standard format. Therefore, option C is correct.
Option A is incorrect because the data analyst is not querying the databases incorrectly, but rather observing a discrepancy in the timestamps.
Option B is incorrect because the databases are recording the same event, but with different timestamps.
Option D is incorrect because the second database is not logging incorrectly, but rather using a different time zone.

NEW QUESTION # 207
Five dogs have the following heights in millimeters:
300, 430, 170, 470, 600
Which of the following is the mean height for the five dogs?

A. 493mm
B. 394mm
C. 504mm
D. 405mm

Answer: B

Explanation:
The mean height for the five dogs is calculated by adding up all the heights and dividing by the number of dogs. The formula is:
mean = (300 + 430 + 170 + 470 + 600) / 5 mean = 1970 / 5 mean = 394
Therefore, option A is correct.
Option B is incorrect because it is the median height, which is the middle value when the heights are arranged in ascending order.
Option C is incorrect because it is the mean height multiplied by 1.25.
Option D is incorrect because it is the mean height multiplied by 1.28.

NEW QUESTION # 208
The number of phone calls that call center receives in a day is an example of:

A. continuous data.
B. discrete data.
C. ordinal data.
D. categorical data.

Answer: B

NEW QUESTION # 209
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DA0-001 Valid Test Bootcamp | DA0-001 Books PDF

What is the salary of the CompTIA DA0-001 Exam

DA0-001 Books PDF - Hot DA0-001 Questions

CompTIA Data+ Certification Exam Sample Questions (Q204-Q209):

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