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CompTIA Data+ Certification Exam Sample Questions (Q130-Q135):

NEW QUESTION # 130
While reviewing survey data, an analyst notices respondents entered "Jan," "January," and "01" as responses for the month of January. Which of the following steps should be taken to ensure data consistency?

* A. Replace any of the responses that have "01".
* B. Filter on any of the responses that do not say "January" and update them to "January".
* C. Delete any of the responses that do not have "January" written out.
* D. Sort any of the responses that say "Jan" and update them to "01".
Answer: B

Explanation:
Explanation
Filter on any of the responses that do not say "January" and update them to "January". This is because filtering and updating are data cleansing techniques that can be used to ensure data consistency, which means that the data is uniform and follows a standard format. By filtering on any of the responses that do not say "January" and updating them to "January", the analyst can make sure that all the responses for the month of January are written in the same way. The other steps are not appropriate for ensuring data consistency. Here is why:
Deleting any of the responses that do not have "January" written out would result in data loss, which means that some information would be missing from the data set. This could affect the accuracy and reliability of the analysis.
Replacing any of the responses that have "01" would not solve the problem of data inconsistency, because there would still be two different ways of writing the month of January: "Jan" and "January". This could cause confusion and errors in the analysis.
Sorting any of the responses that say "Jan" and updating them to "01" would also not solve the problem of data inconsistency, because there would still be two different ways of writing the month of January: "01" and
"January". This could also cause confusion and errors in the analysis.

NEW QUESTION # 131
Which of the following statistical methods requires two or more categorical variables?

* A. Two-sample t-test
* B. Z-test
* C. Simple linear regression
* D. Chi-squared test
Answer: D

Explanation:
This is because a chi-squared test is a type of statistical method that tests the association or independence between two or more categorical variables, such as gender, race, or occupation. A chi-squared test can be used to compare the observed frequencies of the categories with the expected frequencies under the null hypothesis of no association or independence. For example, a chi-squared test can be used to determine if there is a relationship between smoking and lung cancer. The other statistical methods do not require two or more categorical variables. Here is why:
Simple linear regression is a type of statistical method that models the relationship between a continuous dependent variable and a continuous or categorical independent variable, such as height, weight, or education level. A simple linear regression can be used to estimate the slope and intercept of the best-fitting line that describes how the dependent variable changes with the independent variable. For example, a simple linear regression can be used to predict the weight of a person based on their height.
Z-test is a type of statistical method that tests the significance of the difference between a sample mean and a population mean, or between two sample means, when the population standard deviation or the sample sizes are large enough. A z-test can be used to compare the average scores of two groups of students on a standardized test.
Two-sample t-test is a type of statistical method that tests the significance of the difference between two sample means when the population standard deviation is unknown or the sample sizes are small. A two-sample t-test can be used to compare the average salaries of two groups of employees in different departments.

NEW QUESTION # 132
A junior web developer is developing a new application where users can upload short videos. The first task is to create a homepage that shows the headline "Upload Your Short Videos" and a clickable button that says
"upload now".
Which of the following HTML commands would help the developer to complete the task successfully?

* A. < p >Upload Your Short Videos< /p >< p >upload now< /p >
* B. < hl >Upload Your Short Videos< /h1 >< hl >upload now< /h1 >
* C. < hl >Upload Your Short Videos< /h1 >< button >upload now< /button >
* D. < span >Upload Your Short Videos< /span >< button >upload now< /button >
Answer: C

Explanation:
Explanation
The HTML commands that would help the developer to complete the task successfully are <h1>Upload Your Short Videos</h1> and <button>upload now</button>. The <h1> tag defines a heading level 1, which is the largest and most important heading on a webpage. The <button> tag defines a clickable button that can perform some action when clicked. The other options are not suitable for the task, as they either use the wrong tags or do not create a clickable button. The <span> tag defines a section of text with no specific meaning or formatting. The <p> tag defines a paragraph of text. The <hl> tag does not exist in HTML. Reference: HTML Tags - W3Schools

NEW QUESTION # 133
Which of the following is an example of a discrete data type?

* A. 10.7lbs (4.9kg)
* B. 8in (20cm)
* C. 5 kids
* D. 2.5mi (4km)
Answer: C

Explanation:
Explanation
A discrete data type is a data type that can only take on a finite number of values, such as integers or categories. An example of a discrete data type is the number of kids, as it can only be a whole number. The other options are examples of continuous data types, as they can take on any value within a range. The length in inches or centimeters, the distance in miles or kilometers, and the weight in pounds or kilograms are all continuous data types. Reference: CompTIA Data+ (DA0-001) Practice Certification Exams | Udemy

NEW QUESTION # 134
Which of the following is a common data analytics tool that is also used as an interpreted, high-level, general-purpose programming language?

* A. IBM SPSS
* B. Python
* C. Microsoft Power B1
* D. SAS
Answer: B

NEW QUESTION # 135
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