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CompTIA Data+ Certification Exam Sample Questions (Q254-Q259):

NEW QUESTION # 254
Which of the following is a common data analytics tool that is also used as an interpreted, high-level, general-purpose programming language?

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

Answer: C

Explanation:
The option that is a common data analytics tool that is also used as an interpreted, high-level, general-purpose programming language is Python. Python is a popular and versatile programming language that can be used for various purposes, such as web development, software development, automation, machine learning, and data analysis. Python has many features and libraries that make it suitable for data analytics, such as its simple syntax, dynamic typing, multiple paradigms, built-in data structures, NumPy, pandas, matplotlib, scikit-learn, etc. The other options are not programming languages, but software applications or platforms that are used for data analytics or related tasks. SAS is a software suite that provides advanced analytics, business intelligence, data management, and predictive analytics capabilities. Microsoft Power BI is a business analytics service that provides interactive visualizations and business intelligence capabilities. IBM SPSS is a software package that offers statistical analysis, data mining, text analytics, and predictive analytics capabilities. Reference: Python For Data Analysis - DataCamp

NEW QUESTION # 255
An e-commerce company recently tested a new website layout. The website was tested by a test group of customers, and an old website was presented to a control group. The table below shows the percentage of users in each group who made purchases on the websites:

Which of the following conclusions is accurate at a 95% confidence interval?

A. In France, the increase in conversion from the new layout was not significant.
B. In general, users who visit the new website are more likely to make a purchase.
C. In Germany, the increase in conversion from the new layout was not significant.
D. The new layout has the lowest conversion rates in the United Kingdom.

Answer: C

Explanation:
Explanation
The p-value is a measure of how likely it is to observe a difference in conversion rates as large or larger than the one observed, assuming that there is no difference between the groups. A common threshold for statistical significance is 0.05, meaning that there is a 5% or less chance of observing such a difference by chance alone.
The table shows the p-values for each country, and we can see that only Germany has a p-value above 0.05 (0.13). This means that we cannot reject the null hypothesis that there is no difference in conversion rates between the test and control groups in Germany. Therefore, the increase in conversion from the new layout was not significant in Germany. For the other countries, the p-values are below 0.05, indicating that the increase in conversion from the new layout was statistically significant. Option A is correct.
Option B is incorrect because the increase in conversion from the new layout was significant in France (p-value = 0.002).
Option C is incorrect because it does not account for the variation across countries. While the overall conversion rate for the test group (8.4%) is higher than the control group (6.8%), this difference may not be statistically significant when we consider the country-specific effects.
Option D is incorrect because the new layout has the highest conversion rate in the United Kingdom (9.6%), not the lowest.
References:
P-value Calculator & Statistical Significance Calculator
p-value Calculator | Formula | Interpretation
How to obtain the P value from a confidence interval | The BMJ
Confidence Intervals & P-values for Percent Change / Relative Difference

NEW QUESTION # 256
A county in Illinois is conducting a survey to determine the mean annual income per household. The county is
427sq mi (2.65q km). Which of the following sampling methods would MOST likely result in a representative sample?

A. Surveys sent to ten randomly selected homes within 5mi (8km) of the county's office
B. A stratified phone survey of 100 people that is conducted between 2:00 p.m. and 3:00 p.m.
C. Surveys sent to 100 randomly selected homes that are reflective of the population
D. A systematic survey that is sent to 100 single-family homes in the county

Answer: C

Explanation:
Surveys sent to 100 randomly selected homes that are reflective of the population. This is because a random sample is a type of sample that is selected by using a random method, such as a lottery or a computer- generated number, which ensures that every element in the population has an equal chance of being selected.
A random sample can result in a representative sample, which means that the sample reflects the characteristics and diversity of the population. By sending surveys to 100 randomly selected homes that are reflective of the population, the analyst can ensure that the sample is representative of the county's households and their income levels. The other sampling methods are not likely to result in a representative sample. Here is why:
A stratified phone survey of 100 people that is conducted between 2:00 p.m. and 3:00 p.m. would result in a biased sample, which means that the sample favors or excludes certain groups or elements in the population.
By conducting the survey only between 2:00 p.m. and 3:00 p.m., the analyst would miss out on people who are not available or reachable at that time, such as those who are working or sleeping. This could affect the representativeness and generalizability of the sample.
A systematic survey that is sent to 100 single-family homes in the county would result in an unrepresentative sample, which means that the sample does not reflect the characteristics and diversity of the population. By sending surveys only to single-family homes, the analyst would ignore other types of households, such as apartments, condos, or mobile homes. This could affect the accuracy and reliability of the sample.
Surveys sent to ten randomly selected homes within 5mi (8km) of the county's office would result in a small sample, which means that the sample size is too low to capture the variability and diversity of the population.
By sending surveys only to ten homes within a limited area, the analyst would miss out on many households that are located in different parts of the county. This could affect the precision and confidence of the sample.

NEW QUESTION # 257
A data analyst is performing a data merge within a spreadsheet using the tables below:
https://www.bing.com/images/blob?bcid=S1XCF9p02M4GjpbGxHj0lrIaj9sw.....4c

The analyst is attempting to pull the addresses from Table 2 into Table 1 using the last names and is receiving an error message. Which of the following steps can the analyst perform to fix the error?

A. Review the spelling and data type.
B. Use concatenate to combine the tables.
C. Ensure the formula is pulling from right to left.
D. Sort the data by the last name field.

Answer: A

Explanation:
The error in merging data from Table 2 into Table 1 using last names could be due to discrepancies in spelling or data type between the two tables. It is essential to ensure that the last names are spelled consistently and that the data types are compatible for a successful merge. Option D suggests reviewing these aspects, which can potentially resolve the error, ensuring that each last name in Table 1 accurately corresponds to the same last name in Table 2, allowing for a successful data pull of addresses.
References: This answer is based on general data analytics practices and does not reference a specific document.

NEW QUESTION # 258
Which of the following statistical methods requires two or more categorical variables?

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

Answer: A

NEW QUESTION # 259
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Try CompTIA DA0-001 Questions - Best Way To Go Through DA0-001 Exam [2025]

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CompTIA Data+ Certification Exam Sample Questions (Q254-Q259):

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