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CompTIA Data+ Certification Exam Sample Questions (Q304-Q309):

NEW QUESTION # 304
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. The new layout has the lowest conversion rates in the United Kingdom.
• C. In general, users who visit the new website are more likely to make a purchase.
• D. In Germany, the increase in conversion from the new layout was not significant.

Answer: D

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.
Reference:
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 # 305
Which of the following is the median of the number set:3, 7, 5, 6, 9?

• A. 0
• B. 1
• C. 2
• D. 3

Answer: D

Explanation:
Comprehensive and Detailed In-Depth Explanation:
Themedianis the middle value in a sorted list of numbers. The steps to determine the median are:
* Sort the numbers in ascending order:3, 5, 6, 7, 9
* Find the middle value:Since there arefivenumbers, the middle value is the third one:Median = 6
* Option A (5):Incorrect. 5 is not the middle value.
* Option B (6):Correct.6 is the middle value in the sorted list.
* Option C (7):Incorrect. 7 is not the middle value.
* Option D (9):Incorrect. 9 is the highest value, not the median.

 

NEW QUESTION # 306
An analyst has conducted a review of business questions. Which of the following should the analyst do next to conduct an analysis?

• A. Determine the data needs and begin the analysis.
• B. Determine the data needs and schedule interviews.
• C. Determine the data needs and sources for analysis.
• D. Determine the data needs and review the observations.

Answer: C

Explanation:
After conducting a review of the business questions, the next step for the analyst is to determine the data needs and sources for analysis. This involves identifying the relevant data elements, variables, and metrics that are required to answer the business questions, as well as the data sources, formats, and quality that are available to access and use. This step will help the analyst to plan the data collection, preparation, and integration processes, as well as to assess the feasibility and limitations of the analysis1.

 

NEW QUESTION # 307
A database consists of one fact table that is composed of multiple dimensions. Each dimension is represented by a denormalized table. This structure is an example of a:

• A. snowflake schema.
• B. galaxy schema.
• C. star schema.
• D. non-relational schema.

Answer: C

Explanation:
A star schema is a type of database schema that consists of one fact table and multiple dimension tables. The fact table contains the measures or metrics of the business process, such as sales, orders, or transactions. The dimension tables contain the attributes or characteristics of the business entities, such as products, customers, or locations. The fact table is connected to the dimension tables by foreign keys that reference the primary keys of the dimension tables. The fact table is located at the center of the schema, while the dimension tables are located at the edges, forming a star-like shape1.
A star schema is an example of a denormalized schema, which means that the dimension tables are not normalized and may contain redundant or repeated data. This is done to improve the performance and simplicity of queries, as there are fewer joins and tables involved. A star schema is suitable for data warehouses and business intelligence applications that require fast and efficient data retrieval2.

 

NEW QUESTION # 308
A sales analyst needs to report how the sales team is performing to target. Which of the following files will be important in determining 2019 performance attainment?

• A. 2018 goal data
• B. 2019 goal data
• C. 2019 commission plan
• D. 2018 actual revenue

Answer: B

Explanation:
Answer : C . 2019 goal data
To report how the sales team is performing to target, the sales analyst needs to compare the actual sales revenue with the expected or planned sales revenue for the same period. The 2019 goal data is the file that contains the expected or planned sales revenue for the year 2019, which is the target that the sales team is aiming to achieve. By comparing the 2019 goal data with the 2019 actual revenue, the sales analyst can calculate the performance attainment, which is the percentage of the goal that was met by the sales team.
Option A is incorrect, as 2018 goal data is not relevant for determining 2019 performance attainment. The 2018 goal data contains the expected or planned sales revenue for the year 2018, which is not the target that the sales team is aiming to achieve in 2019.
Option B is incorrect, as 2018 actual revenue is not relevant for determining 2019 performance attainment. The 2018 actual revenue contains the actual sales revenue for the year 2018, which is not comparable with the 2019 goal data or the 2019 actual revenue.
Option D is incorrect, as 2019 commission plan is not relevant for determining 2019 performance attainment. The 2019 commission plan contains the rules and rates for calculating and paying commissions to the sales team based on their performance attainment, but it does not contain the expected or planned sales revenue for the year 2019.

 

NEW QUESTION # 309
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