I can get an idea for the likelihood of an event by using results from previous experiments.
Lesson 2: Chance Experiments
I can describe the likelihood of events using the words impossible, unlikely, equally likely as not, likely, or certain.
I can tell which event is more likely when the chances of different events are expressed as fractions, decimals, or percentages.
Lesson 3: What Are Probabilities?
I can use the sample space to calculate the probability of an event when all outcomes are equally likely.
I can write out the sample space for a simple chance experiment.
Lesson 4: Estimating Probabilities Through Repeated Experiments
I can explain whether certain results from repeated experiments would be surprising or not.
I can estimate the probability of an event based on the results from repeating an experiment.
Lesson 5: More Estimating Probabilities
I can explain why results from repeating an experiment may not exactly match the expected probability for an event.
I can calculate the probability of an event when the outcomes in the sample space are not equally likely.
Lesson 6: Estimating Probabilities Using Simulation
I can simulate a real-world situation using a simple experiment that reflects the probability of the actual event.
Lesson 7: Simulating Multi-step Experiments
I can use a simulation to estimate the probability of a multi-step event.
Lesson 8: Keeping Track of All Possible Outcomes
I can write out the sample space for a multi-step experiment, using a list, table, or tree diagram.
Lesson 9: Multi-step Experiments
I can use the sample space to calculate the probability of an event in a multi-step experiment.
Lesson 10: Designing Simulations
I can design a simulation to estimate the probability of a multi-step real-world situation.
Lesson 11: Comparing Groups
I can calculate the difference between two means as a multiple of the mean absolute deviation.
When looking at a pair of dot plots, I can determine whether the distributions are very different or have a lot of overlap.
Lesson 12: Larger Populations
I can explain why it may be useful to gather data on a sample of a population.
When I read or hear a statistical question, I can name the population of interest and give an example of a sample for that population.
Lesson 13: What Makes a Good Sample?
I remember that when a distribution is not symmetric, the median is a better estimate of a typical value than the mean.
I can determine whether a sample is representative of a population by considering the shape, center, and spread of each of them.
I know that some samples may represent the population better than others.
Lesson 14: Sampling in a Fair Way
I know that selecting a sample at random is usually a good way to get a representative sample.
I can describe ways to get a random sample from a population.
Lesson 15: Estimating Population Measures of Center
I can consider the variability of a sample to get an idea for how accurate my estimate is.
I can estimate the mean or median of a population based on a sample of the population.
Lesson 16: Estimating Population Proportions
I can estimate the proportion of population data that are in a certain category based on a sample.
Lesson 17: More about Sampling Variability
I know that as the sample size gets bigger, the sample mean is more likely to be close to the population mean.
I can use the means from many samples to judge how accurate an estimate for the population mean is.
Lesson 18: Comparing Populations Using Samples
I can determine whether there is a meaningful difference between two populations based on a sample from each population.
I can calculate the difference between two medians as a multiple of the interquartile range.
Lesson 19: Comparing Populations With Friends
I can decide what information I need to know to be able to compare two populations based on a sample from each.
Lesson 20: Memory Test
I can compare two groups by taking a random sample, calculating important measures, and determining whether the populations are meaningfully different.
