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Determine whether the sampling is dependent or independent. Indicate whether the response variable is qualitative or quantitative. An educator wants to determine whether a new curriculum significantly improves standardized test scores for third grade students. She randomly divides 80 third-graders into two groups. Group 1 is taught using the new curriculum, while group 2 is taught using the traditional curriculum. At the end of the school year, both groups are given the standardized test and the mean scores are compared.

Short Answer

Expert verified
The sampling is independent, and the response variable is quantitative.

Step by step solution

01

Title - Identify the sampling type

First, determine if the sampling method used is dependent or independent. In this scenario, 80 third-grade students are randomly divided into two groups: one taught with the new curriculum and the other with the traditional curriculum. Since the groups are composed of different students with no pairing or matching between the groups, the samples are independent.
02

Title - Determine the response variable type

Next, identify whether the response variable is qualitative or quantitative. The response variable in this scenario is the standardized test scores of third-grade students. Since test scores are numerical and can be measured, they are quantitative in nature.

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Key Concepts

These are the key concepts you need to understand to accurately answer the question.

dependent vs independent sampling
Sampling methods are crucial in research to ensure data accuracy and reliability. Understanding whether a study employs dependent or independent sampling helps in interpreting the results correctly.

In the given scenario, we have 80 third-grade students randomly divided into two groups: one using the new curriculum and the other using the traditional curriculum. Here, each group consists of different students with no direct relation between individuals in each group. This means there is no pairing or matching of students between the groups. As a result, the sampling method used is independent sampling.

If the same students were measured before and after the new curriculum, or if students were paired based on some criterion, it would represent dependent sampling. Independent sampling provides more varied perspectives since it evaluates different sets of individuals without overlap.
quantitative response variable
The next important concept is identifying the type of response variable in a study鈥攓ualitative or quantitative.

In the given example, the educator wants to determine if a new curriculum affects standardized test scores. Here, the response variable is the students鈥 test scores. These scores are numerical and can be measured, making them quantitative.

Quantitative variables, unlike qualitative variables, are measured on a numeric scale. Examples of quantitative variables include height, weight, age, and test scores. Understanding the type of response variable is essential since it influences the choice of statistical methods used to analyze the data.
educational curriculum assessment
Assessing educational curricula involves comparing different teaching methods to identify the most effective approach.

In our example, an educator wants to evaluate if a new curriculum improves third graders鈥 standardized test scores compared to a traditional curriculum.

The assessment process includes:
  • Dividing students randomly into two groups to ensure unbiased results
  • Teaching one group with the new curriculum and the other with the traditional curriculum
  • Administering the same standardized test at the end of the school year to both groups
  • Comparing the mean scores of both groups to determine the impact

This method helps educators and policymakers decide whether to adopt new teaching strategies.鈥潁

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Most popular questions from this chapter

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