1. Recognize and identify that different sampling techniques must be used in real life situations, because it is can be very difficult to sample an entire population.

2. Select appropriate sample sizes base on a population in real life situations.

3. Use measures of center and variation to make inferences about a population based on random sampling from that population.

4. Understand that a set of data collected to answer a statistical question has a distribution which can be described by its center, spread, and random and representative of that population. Collect data from a sample population in order to predict information about a population's overall shape.

5. Display numerical data in plots on a number line, including dot plots, histograms, and box plots.

2. Select appropriate sample sizes base on a population in real life situations.

3. Use measures of center and variation to make inferences about a population based on random sampling from that population.

4. Understand that a set of data collected to answer a statistical question has a distribution which can be described by its center, spread, and random and representative of that population. Collect data from a sample population in order to predict information about a population's overall shape.

5. Display numerical data in plots on a number line, including dot plots, histograms, and box plots.