Get Making Inferences From Random Data Independent Practice Worksheet Answers

Examples: If we wake up and see tree branches on the ground and lawn chairs turned upside down, we might infer that it was windy last night. If a friend comes to school on crutches, we infer that he/she had some kind of accident and was injured.

Samples are used to make inferences about populations. Samples are easier to collect data from because they are practical, cost-effective, convenient, and manageable. When are populations used in research? Populations are used when a research question requires data from every member of the population.

What are inferential statistics? - The analysis of a random sample of data taken from a population to describe and make inferences about the population.

A random sample is the subset of the population selected without bias in order to make inferences about the entire population. Random samples are more likely to contain data that can be used to make predictions about a whole population. The size of a sample influences the strength of the inference about the population.

Reasoning How can you use proportional reasoning to make an estimate about a population using data from a sample? Sample answer: You can write a ratio or percent that relates the number of people in the sample with a certain characteristic to the total number in the sample.

8 Can random samples and proportional reasoning be used to determine precise information about a population? No, random samples and proportional reasoning can only be used to make predictions. While these predictions are likely to be close to the actual value, it is possible for a prediction to be inaccurate.

A random sample is the subset of the population selected without bias in order to make inferences about the entire population. Random samples are more likely to contain data that can be used to make predictions about a whole population. The size of a sample influences the strength of the inference about the population.