Statistics Homework 2: Video Facts

1. Identify a Representative Sample: To make a good prediction about the population from a sample, the sampling method has to be unbiased which will make it representative sample and a valid inference.

2. Make estimates About a Population Using Means: To get an accurate prediction of a population from a sample, the data from the sample should be proportional to the population when you make a conclusion about the population. Also, by using the mean of multiple samples, you get an even more accurate prediction of the population.

3. Use Proportions to Make Estimates About a Population: Cross multiplication is another way of solving a proportion. Using proportionality when making an inference about a population makes the inference more accurate, but not necessarily exact.

Statistics Homework 1: Video Facts

1. Identifying a Random Sample: Instead of conducting a census, which is difficult as you have to survey each individual of the population, you can survey a sample of the population and make a generalization of the population from the sample.

2. Generate a Representative Sample: Since we don't know what the whole population looks like, we can't handpick the people for the sample, so we have three different unbiased sampling methods: simple random sample, systematic random sample, and stratified random sample.

3. Understanding Biased Samples: Often students think that biased sampling methods are obvious and easy to avoid. Just because you've selected a part of the population that seems like a good sample population, like the basketball team, it doesn't mean that your sample is unbiased.

Seed Post

Plant Lesson Post