RI 10.1
to use your understanding of a text and your own experiences; to draw conclusions
a. analyze
b. cite
c. make inferences
d. textual evidence
c. make inferences
A ____ is an overarching idea in a text that the author develops over the course of the writing.
A. Metaphor
B. Central idea
C. Motif
D. Evidence
B. Central idea
A. To present the analysis or ideas in a logical, step-by-step manner
A. To write or draw carelessly and hastily
A. The art of using language effectively and persuasively
details from the text that a reader can use to support his or her ideas and opinions about the text
a. analyze
b. cite
c. make inferences
d. textual evidence
d. textual evidence
A ____ is a specific detail, quote, or example that supports or refines a central idea in a text.
A. Refutation
B. Figurative language
C. Transition
D. Supporting Detail
D. Supporting Detail
B. To establish the context and background for the ideas or events
The literal or dictionary definition of a word is its ___ meaning.
A. Figurative
B. Connotative
C. Technical
D. Denotative
D. Denotative
The author's attitude or feelings about the subject matter is referred to as the text's ___.
A. Point of view
B. Purpose
C. Rhetoric
D. Tone
A. Point of view
Which of the following paragraphs supports the idea that data mining can be beneficial to communities?
A. paragraph 1
B. paragraph 8
C. paragraph 9
D. paragraph 10
Correct Answer (D): Paragraph 10 explicitly states that data mining's benefits "span beyond consumerism" and provides examples like crime prevention (helping authorities know where police presence is needed) and education (predicting student success). These applications are beneficial to communities.
Which statement best expresses the central idea of the entire passage?
A. Data mining is a process that primarily benefits businesses by increasing their bottom line through targeted advertising and customer retention strategies.
B. Data mining techniques, such as clustering, regression, and prediction, are complex processes used by companies to analyze consumer data.
C. Data mining is an essential, multi-technique process used across many sectors, not just business, to identify patterns and predict future trends for improved productivity and decision-making.
D. Data mining's main function is predicting customer churn to prevent the loss of consumers who are using a product or service.
Correct Answer (C): This statement is the most comprehensive. It covers the definition (multi-technique process to identify patterns ), the main benefit (improved productivity/decision-making ), and the breadth of its use (not just business, but also crime prevention, healthcare, and education ).
A. To provide additional supporting details and explanations about the ideas or events
B. A feeling of increased happiness and freedom from burdens
The reason an author writes a text, such as to inform, persuade, or entertain, is known as the author's ___.
A. Point of view
B. Purpose
C. Rhetoric
D. Tone
B. Purpose
Which sentence from the text best supports the claim that data mining techniques look for relationships between different pieces of information?
A. "Classification sorts data based on patterns."
B. "Outlier Detection... does not actually show a pattern, but it does analyze an outlier in the data."
C. "Regression looks closely at the relationship among multiple variables."
D. "Prediction uses past data to forecast what can be expected in the future data.
Correct Answer (C): This sentence explicitly uses the phrase "relationship among multiple variables," which directly supports the claim that techniques look for links between different data points
How is the central idea that data mining is a useful, widespread technique refined in Paragraph 10?
A. The paragraph details how regression and prediction are used specifically in the healthcare and education industries.
B. The paragraph expands the scope of its utility, showing that its benefits extend beyond profit-driven consumerism into public sectors like crime prevention and education .
C. The paragraph introduces a counter-argument to the previous paragraphs by noting the ethical dilemmas of using data mining in public safety.
D. The paragraph uses data analysis figures to prove that the public applications of data mining are more impactful than the consumer applications.
Correct Answer (B): Paragraph 10 begins by explicitly stating, "The benefits of data mining span beyond consumerism, however ," and then provides details on its use in crime prevention, healthcare, and education . This refines the central idea by demonstrating its versatility outside of business.
The author's use of transitional phrases like "Consequently" (paragraph 7) , "For instance" (paragraph 8) , and "however" (paragraph 10) primarily serves to:
A. Signal a contrast between the benefits and the drawbacks of data mining.
B. Alert the reader to the shift from a personal anecdote to a technical definition.
C. Create coherence by establishing logical relationships between ideas and examples within the text.
D. Provide emotional emphasis for the author's argument regarding customer relationship management.
Correct Answer (C): Transitional phrases are cohesive devices. "Consequently" shows the result/effect (prediction is also known as forecasting). "For instance" introduces a supporting example (recommendations). "However" signals a shift in focus to a different, non-consumer benefit. These phrases guide the reader by explicitly linking the flow of ideas.
Read the sentence from paragraph 9.
If so, this could have been because the analysis of your data helped companies predict the customer 'churn.'
Which quotation from paragraph 9 provides context for the meaning of the phrase customer churn?
A. “Certain service providers apply the ‘fruits of the data tree’ to retain customers.”
B. “Have you ever received a promotional offer from your cable company shortly after you considered switching services?”
C. “To prevent customer churn, companies use data mining to assign a probability score to each customer.”
D. “Using data mining, Customer Relationship Management, or CRM, helps companies retain their customers and develop customer experiences.”
B. “Have you ever received a promotional offer from your cable company shortly after you considered switching services?”
Read the following sentences from paragraph 8.
How many times have you seen a “You Might Like” or “Because You Watched” message pop up on an Amazon search or Netflix profile? These messages that often plague us are a result of data mining.
Why does the author include these sentences in the paragraph?
A. to provide examples of why data mining is used
B. to classify the different techniques of data mining
C. to illustrate how data mining is part of our daily lives
D. to explain how companies utilize data mining to adapt their websites
C. to illustrate how data mining is part of our daily lives
2.Read the following sentence from paragraph 11.
While it might affect your pocketbook through increasing what you buy, it could also be helping to keep you safe in your neighborhood, among other things!
Choose two quotes from the passage that support this idea.
A. “Before data can be collected, companies must decide what data is needed for making decisions for their organization.” (paragraph 2)
B. “Companies are constantly analyzing your interests, internet activity, and buying patterns to improve their bottom line.” (paragraph 8)
C. “Data mining does not just help businesses promote the purchase of their products, though.” (paragraph 9)
D. “Companies can also analyze data to figure out if their websites are effectively reaching customers.” (paragraph 9)
E. “In the area of crime prevention, data mining provides vital information that can help authorities know what areas of a city need more police presence." (paragraph 10)
Correct Answer B and E
Which statement provides the best objective summary of the concept of prediction, as described in Paragraph 7?
A. Prediction is a sophisticated technique used exclusively by major companies to forecast future sales based on regression analysis.
B. Prediction is also known as regression, and it is a way to look at data to determine when a major deviation or outlier might occur.
C. Prediction is a popular technique that uses current customer behavior to guess what products or services they might like in the near future.
D. Prediction, also called forecasting, utilizes previously collected data to estimate what can be expected in upcoming data sets .
Correct Answer (D): This is a direct, objective summary of the paragraph, which states that Prediction "uses past data to forecast what can be expected in the future data" and that it is "also known as forecasting".
The author's primary method for unfolding the analysis of data mining is to:
A. Provide a brief definition, list its historical uses, and then compare its effectiveness to other analytical methods.
B. Establish a central problem, provide examples of how data mining causes it, and then propose a set of solutions to mitigate the problem.
C. Introduce the concept with a relatable anecdote, define it, detail its specific techniques, and then illustrate its diverse applications .
D. Define its techniques and applications, and then devote the remainder of the passage to contrasting its benefits with its drawbacks.
C. Introduce the concept with a relatable anecdote, define it, detail its specific techniques, and then illustrate its diverse applications .
What does the author imply though the use of the word plague in paragraph 8?
A. that machine learning sends viruses to the computers of consumers
B. that the recommendations made by artificial intelligence are ineffective
C. that the use of artificial intelligence and machine learning is dangerous
D. that the number of advertisements resulting from data mining is overwhelming
D. that the number of advertisements resulting from data mining is overwhelming
Which statement accurately evaluates the author’s point of view toward data mining?
A. The author disagrees with the tactics employed by companies who engage in data mining.
B. The author believes that data mining is overall a positive tool used by various types of companies.
C. The author suggests that data mining takes advantage of the consumer by exploiting the knowledge gained from data mining.
D. The author argues that data mining is most useful for companies who are struggling to keep their customers’ business.
B. The author believes that data mining is overall a positive tool used by various types of companies.