1. It refers to the simple collection, tabulation, and data summation forming meaningful inferences and conclusions. STATISTICS2. The area of statistics that utilizes numerical and graphical methods to look for patterns in the data set. DESCRIPTIVE STATISTICS3. The area of statistics that draws conclusions like decisions, predictions, or generalizations about the data set. INFERENTIAL STATISTICS 4. It refers to a set of people, objects, measurements, or happenings that belong to a defined group. POPULATION5. It is any subset of elements drawn by some appropriate method from a defined population. SAMPLE6. It is a method by which every element of a population has a chance of being included in a sample. RANDOM SAMPLING7. A sampling procedure with a random start. SYSTEMATIC SAMPLING8. A sampling procedure that is used when the population can naturally be classified into groups or strata. STRATIFIED SAMPLING9. A collection of information about a study under investigation. DATA10. It is used to present data in a most systematic and organized manner to make reading and interpretation simpler and easier. TABLE11. A visual representation of a set of values in relation to another set. GRAPH12. A graph used to show changes that happen over a period of time. LINE GRAPH13. The kind of graph that is useful when showing trends and making comparisons simultaneously. MULTIPLE LINE GRAPH14. A graph that represented by a circle divided into parts showing the relationships among parts as well as the relationship of a part to a whole. PIE GRAPH15. This uses a picture or an icon to symbolize the quantities being represented. PICTOGRAPH16. It is the distribution of the total number of observations or frequencies over arbitrarily defined classes. FREQUENCY DISTRIBUTION17. It is a systematic process of organizing data by arranging items from highest to lowest or vice-versa with the corresponding name of the item, and its respective tally. FREQUENCY DISTRIBUTION18. It is a collection of observations produced by sorting them into classes and showing their frequency occurrences in each class. FREQUENCY DISTRIBUTION19. A graph made up of vertical lines of equal bases centered at the class midpoint. HISTOGRAM20. A graph that displays the data by using vertical bars of various heights to represent the frequencies. HISTORGRAM21. The graph that displays the data by using lines that connect points plotted of the frequencies at the midpoints of the classes. FREQUENCY POLYGON22. This is a graph that represents the cumulative frequencies of the classes. OGIVE23. The number of observations falling under a class. CLASS FREQUENCY24. It is the midpoint of the class interval, and is obtained by taking half of the sum of the lower and upper limits. CLASS MARK25. The most popular and the most commonly used measure of central position. It is generally described as the center of gravity of a distribution where data appear to cluster. MEAN26. It is the value of the middle term when data are arranged in either ascending or descending order. MEDIAN27. The difference between the highest and the lowest values in a given set of data. RANGE28. It is the simplest measure of variation to calculate. RANGE29. It is the measure of variation of a set of data in terms of the amounts by which the individual values differ from their mean. STANDARD DEVIATION30. The most reliable and most commonly used measure of variation. STANDARD DEVIATION31. His main contribution was the theory of sample surveys. JERSY NEYMAN32. The greatest pioneer of the scientific use of statistics whose Hereditary Genius applied statistics to problems of biological inheritance. FRANCIS GALTON33. He introduced the statistical inference and experimental design. RONALD FISHER34. In 1700, the word ______ was commonly used in German universities to describe a systematic comparison of data about nations. STATISTIK35. A numerical measurement describing some characteristics of a population. PARAMETER36. The data at this level may lack an inherent zero starting point. INTERVAL LEVEL37. It is the highest level of measurement. RATIO LEVEL38. The smallest value that can be included in the class. LOWER CLASS LIMIT39. These are used to separate the classes so that there are no gaps in the frequency distribution. CLASS BOUNDARIES40. The difference between two consecutive lower class limits. CLASS WIDTH41. The shape of a frequency distribution where majority of the data values falls to the right of t mean and clusters at the upper end of the end. NEGATIVELY SKEWED42. A measure to determine the skewness of a distribution. PEARSON COEFFICIENT OF SKEWNESS43. Flat-topped curves. PLATYKURTIC CURVES44. More peaked curves. LEPTOKURTIC CURVES45. It describes the sharpness of the peaks of the curves. KURTOSIS46. If K = 3, MESOKURTIC; if K > 3, LEPTOKURTIC; if K