• The difference between data and statistics is that data is what you collect and statistics is what you do with it. Example : We surveyed 50 people to see what their grades were on their last stats test. We found 30% of the students received A's while 44% received B's .
• The difference between Population and sample is that your sample comes from the population. The population is the entire group while the sample is a portion of the group. Example: you survey your stats class , the class would be the sample and the population is all of the MHS students. 
• The difference between parameter and statistic is a parameter describes a population while a statistic describes a sample. For example if the population was 20,000 and only 150 were selected as the sample then the population size of 20,000 would be the parameter and the sample size of 150 would be the statistic .
• The difference between descriptive statistics and inferential statistics is that when you use descriptive statistics (charts, averages,  graphs, etc) to draw conclusions you are making an inferential statistics. An example of this would be if you had a graph and it showed 50 people spent more than 1,000 dollars in a month on television .
• The difference between qualitative data an quantitative date is that quantitative consists of numerical measurements and qualitative data doesn't consists of numerical data rather it consists of labels and attributes. For example the price of an apple would be quantitative data. The number on my soccer jersey would be qualitative. 
• The definition of census is when you collect data from an entire population.