1. When using samples instead of the whole population, you will need the concept of inferential statistics in the interpretation of your results. 2. A census requires that every individual case in the universe must be considered for study while sample survey considers only a representative part of the population. 3. Statistics has one and only meaning and that is data or figures and its main function is to provide the necessary quantitative information. 4. A statistic is a numerical value pertaining to a sample's characteristics. 5. If the population of a study is finite and just covers only a small set of data and the time and cost of the study is of no concern to the one who is conducting the study then it is better to take samples rather than conduct the study over the whole population. 6. Early in the construction of a frequency table, round off the values of range (R), Classes (K) but not necessarily the size of the interval (i) to whole numbers in the given set of data. 7. In filling up the table for Cumulative Frequency Less Than, one should start by retaining the frequency of the lowest class and then adding to it the frequency of the subsequent classes. 8. A frequency table can be classified as a pictograph. 9. A histogram can also be considered as an example of a vertical bar graph. 10. There is no scenario exist in which the sample size selected is also equal to the whole population