Inferences and Conclusions from Data IM3 Statistics Inferences and Conclusions from Data
Learning Objectives S.ID.4 Use the mean and standard deviation of a data set to fit it to a normal distribution and to estimate population percentages. Recognize that there are data sets for which such a procedure is not appropriate. Use calculators, spreadsheets, and tables to estimate areas under the normal curve. S.IC.1 Understand that statistics allows inferences to be made about population parameters based on a random sample from that population. S.IC.2 Decide if a specified model is consistent with results from a given data-generating process, S.IC.3 Recognize the purposes of and differences among sample surveys, experiments, and observational studies; explain how randomization relates to each. S.IC.4 Use data from a sample survey to estimate a population mean or proportion; develop a margin of error through the use of simulation models for random sampling. S.IC.5 Use data from a randomized experiment to compare two treatments; use simulations to decide if differences between parameters are significant. S.IC.6 Evaluate reports based on data. Inferences and Conclusions from Data
Glossary – Learning Target - Understand that statistics allows inferences to be made about population parameters based on a random sample from that population. Population – A group that we are studying Parameters – What we are trying to measure about our population Random Sample – How we collect our data Correlation – A relationship exists between our two variables Causation – A causal relationship exists between our variables Inferences and Conclusions from Data
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Parameters and Population Vocab Practice Inferences and Conclusions from Data
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Glossary: Inferences and Conclusions from Data
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Types of Studies - practice Inferences and Conclusions from Data
Strict Parents – Illustrative Math Inferences and Conclusions from Data
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LT S.ID.4 Use the mean and standard deviation of a data set to fit it to a normal distribution and to estimate population percentages. Recognize that there are data sets for which such a procedure is not appropriate. Use calculators, spreadsheets, and tables to estimate areas under the normal curve Inferences and Conclusions from Data
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What is Standard Deviation and how can I calculate it? Inferences and Conclusions from Data
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Calculate Standard Deviation Practice Inferences and Conclusions from Data
Is it normal? – From MVP Inferences and Conclusions from Data
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Your Very Own Z –score table! - Handout Inferences and Conclusions from Data
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Practice! Practice Inferences and Conclusions from Data
HOMEWORK – z score practice Inferences and Conclusions from Data
Glossary Population Mean – average value for the parameter of the WHOLE population. Expressed as “ “ Population Proportion – point estimate (single value) or as an interval (range of values) Ex: 80% of residents prefer “A” or 75% to 85% of residents prefer “A” “Sample Estimate” Margin of Error – because population proportion is only an estimate of the mu, we need to know how goof our estimate actually is. This has to do with sample size, sample standard deviation, and sample proportion generally these are done with a 95% confidence interval. In other words if 95/100 sample surveys were taken our result would be within our interval. Confidence interval: sample estimate ±𝑚𝑎𝑟𝑔𝑖𝑛 𝑜𝑓 𝑒𝑟𝑟𝑜𝑟. Inferences and Conclusions from Data
Margin of Error – What is it? Video – Part 1 Part 2 Part 3 Inferences and Conclusions from Data
Margin of Error Practice Inferences and Conclusions from Data