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Microsoft wants to administer a satisfaction survey to its ourrent customers. Using their customer database, the compary randomly sellects 70 outiorsers and asks them about their level of satisfaction with the company. What type of sampling is used? A. Convenience 8. Simpto random C. Cluster e. Strackied E. Systematic

Ask by Ellis Lowe. in the United States
Jan 22,2025

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Answer

The sampling method used is **Simple Random Sampling**.

Solution

The scenario describes Microsoft using its customer database to **randomly select 70 customers** to survey their satisfaction levels. Let's analyze the sampling methods provided: 1. **Convenience Sampling**: This involves selecting samples that are easiest to reach. *Not applicable* here since the selection is random. 2. **Simple Random Sampling**: Every customer has an **equal chance** of being selected, and the selection is purely random without any grouping or stratification. This matches the scenario described. 3. **Cluster Sampling**: The population is divided into clusters (often based on location or other natural groupings), and entire clusters are randomly selected. *Not applicable* in this case. 4. **Stratified Sampling**: The population is divided into strata (groups based on specific characteristics), and samples are taken from each stratum. *Not indicated* in the scenario. 5. **Systematic Sampling**: Involves selecting every *k-th* individual from a list after a random start. *Not the method* described here. **Conclusion:** The method used is **Simple Random Sampling**. **Answer:** B. Simple random

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This scenario describes simple random sampling because Microsoft randomly selects a specific number of customers from their entire customer database without any particular order or grouping. Each customer in the database has an equal chance of being chosen, making it a classic example of statistical sampling. Understanding the differences among sampling methods is essential! For instance, convenience sampling might skew results because it relies on easily accessible subjects, while stratified sampling would involve dividing the population into distinct groups before sampling. Make sure to choose carefully to obtain the most reliable results!

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