Use statistics to gain information about a population by examining a sample of… | Use statistics to gain information about a population by examining a sample of the population; | 7.SP.1 |
Know that generalizations about a population from a sample are valid only if… | Know that generalizations about a population from a sample are valid only if the sample is representative of that population and generate a valid representative sample of a population. | 7.SP.1.a |
Identify if a particular random sample would be representative of a population… | Identify if a particular random sample would be representative of a population and justify your reasoning. | 7.SP.1.b |
Use data from a random sample to draw inferences about a population with an… | Use data from a random sample to draw inferences about a population with an unknown characteristic of interest. Generate multiple samples (or simulated samples) of the same size to informally gauge the variation in estimates or predictions. | 7.SP.2 |
Informally assess the degree of visual overlap of two numerical data… | Informally assess the degree of visual overlap of two numerical data distributions with similar variabilities, measuring the difference between the centers by expressing it as a multiple of a measure of variability (requires introduction of mean absolute deviation). | 7.SP.3 |
| | Use measures of center (mean, median and/or mode) and measures of variability (range, interquartile range and/or mean absolute deviation) for numerical data from random samples to draw informal comparative inferences about two populations. | 7.SP.4 |
Express the probability of a chance event as a number between 0 and 1 that… | Express the probability of a chance event as a number between 0 and 1 that represents the likelihood of the event occurring. (Larger numbers indicate greater likelihood. A probability near 0 indicates an unlikely event, a probability around ½ indicates an event that is neither unlikely nor likely, and a probability near 1 indicates a likely event.) | 7.SP.5 |
Collect data from a chance process | Collect data from a chance process (probability experiment). Approximate the probability by observing its long-run relative frequency. Recognize that as the number of trials increase, the experimental probability approaches the theoretical probability. Conversely, predict the approximate relative frequency given the probability. | 7.SP.6 |
Develop a probability model and use it to find probabilities of events | Develop a probability model and use it to find probabilities of events. Compare probabilities from a model to observed frequencies; if the agreement is not good, explain possible sources of the discrepancy. | 7.SP.7 |
Develop a uniform probability model by assigning equal probability to all… | Develop a uniform probability model by assigning equal probability to all outcomes, and use the model to determine probabilities of events. | 7.SP.7.a |
Develop a probability model | Develop a probability model (which may not be uniform) by observing frequencies in data generated from a chance process. | 7.SP.7.b |
Find probabilities of compound events using organized lists, tables, tree… | Find probabilities of compound events using organized lists, tables, tree diagrams, and simulation. | 7.SP.8 |
Know that, just as with simple events, the probability of a compound event is… | Know that, just as with simple events, the probability of a compound event is the fraction of outcomes in the sample space for which the compound event occurs. | 7.SP.8.a |
Represent sample spaces for compound events using methods such as organized… | Represent sample spaces for compound events using methods such as organized lists, tables and tree diagrams. For an event described in everyday language (e.g. "rolling double sixes"), identify the outcomes in the sample space which compose the event. | 7.SP.8.b |
Design and use a simulation to generate frequencies for compound events | Design and use a simulation to generate frequencies for compound events. | 7.SP.8.c |