This preview shows pages 1 - 2 of a 6 page document.
to view the rest of the content
Statistics in Health and Biology 8/22/16 1:46 PMChapter 1
Section 1.1 Descriptive statistics: Consists of methods for organizing and summarizing information; it includes the construction of graphs, charts, and tables, and the calculation of various descriptive measures such as averages, measures of variation, and percentiles. Population: The collection of all individuals or items under consideration in a statistical study. Sample: The part of the population from which information is obtained. Parameter: Numerical values describing a population. Statistics: Numerical values describing a sample. Inferential Statistics: Consists of methods for drawing and measuring the reliability of conclusions about a population based on information obtained from a sample of the population.
Statistics in Health and Biology 8/22/16 1:46 PMChapter 2:
Section 2.1 Variable: A characteristic that varies from one person or thing to another Qualitative Variable: A nonnumerically valued variable Quantitative Variable: A numerically valued variable Discrete Variable: A quantitative variable whose possible values can be listed. In particular, a quantitative variable with only a finite number of possible values is a discrete variable. Continuous variable: A quantitative variable whose possible values from some interval of numbers. Data: Values of variables Qualitative Data: Values of qualitative variable Quantitative Data: Values of quantitative variable. Discrete Data: Values of discrete variable Continuous Data: Values of continuous variable.
Section 2.2: Frequency distribution of qualitative data: A listing of the distinct values and their frequencies. • List the distinct values of the observations in the data set in the first column of a table • For each observation place a tally mark in the second column of the table in the row of the appropriate distinct value • Count the tallies for each distinct value and record the totals in the third column of the table. Relative-frequency distribution of qualitative data: is a listing of distinct values and their relative frequencies. • Obtain a frequency distribution of data divide each frequency by the total number of observations Pie Chart: A disk divided into wedge-shaped pieces proportional to relative frequencies of qualitative data. • Obtain a relative-frequency distribution of the data • Divide a disk into wedge-shaped pieces proportional to the relative frequencies • Label the slices with distinct values and their relative frequencies Bar Chart: Displays the distinct values of the qualitative data on a horizontal axis and the relative frequencies (or frequencies or percent) of those values on a vertical axis. The relative frequency of each distinct value is represented by a vertical bar whose height is equal to the relative frequency of that value. The bars should be positioned so that they do not touch each other.
This is the end of the preview. Please
to view the rest of the content
Join more than 18,000+ college students at Auburn University who use StudySoup to get ahead