basic statistic in testing Flashcards
chapter 4
What is the primary focus of the course “Introduction to Statistics”? A) Understanding historical trends B) Analyzing literature C) Collecting and interpreting data D) Exploring cultural studies
C) Collecting and interpreting data
Discuss the significance of understanding statistics in the context of language teaching and testing.
Understanding statistics in language teaching and testing is crucial as it allows educators to analyze data effectively, make informed decisions, and improve teaching methodologies based on evidence. It also helps in assessing student performance accurately and objectively.
In data collection and interpretation, minimal _________ is needed for data collection.
math
Statistics courses primarily focus on analyzing literature.
False
What is the main difference between descriptive and inferential statistics? A) Descriptive statistics focus on predictions, while inferential statistics summarize data. B) Descriptive statistics summarize data, while inferential statistics make predictions. C) Descriptive statistics are more complex than inferential statistics. D) Inferential statistics describe sample data, while descriptive statistics make predictions.
B) Descriptive statistics summarize data, while inferential statistics make predictions.
Explain the key concepts of descriptive and inferential statistics in statistical studies.
Descriptive statistics involve summarizing and describing sample data, where characteristics of the sample are represented by statistics. Inferential statistics, on the other hand, are more complex and involve making predictions about the entire population based on a representative sample.
In descriptive statistics, the characteristics of the sample are referred to as _________.
statistics
Inferential statistics are simpler than descriptive statistics.
False
Why is summarization essential for understanding quantitative data interpretation? A) To make the data more complicated B) To simplify the data for better comprehension C) To confuse the readers D) To hide the actual information
B) To simplify the data for better comprehension
Discuss the importance of interpreting quantitative data and the role of summarization in this process.
Interpreting quantitative data is crucial for deriving meaningful insights. Summarization plays a key role in this process by condensing raw data into manageable and informative summaries, making it easier to analyze and interpret the data effectively.
In data interpretation, it is important to summarize quantitative data to ________________.
simplify the information for better understanding
Scores in Table 4.1 lack meaning and require interpretation to understand their significance.
True
How are scores usually arranged in step 1 of data arrangement?
a) From lowest to highest
b) Randomly
c) From highest to lowest
d) In alphabetical order
Essay Type:
c
In data arrangement, frequency distributions are constructed to alleviate problems and provide a clearer picture for …,…..
comparisons.
Ties are likely, especially in larger classes
True
