The document contains lecture slides on introductory statistics topics including definitions of population, quantitative vs qualitative data, types of measurement scales, and examples of different sampling methods and study designs. Key points covered are the definition of a population as the complete collection of all elements, examples of quantitative data like weights vs qualitative nominal categories, ordinal scales involving ranking, and retrospective study designs using existing historical data.

1. Active Learning Lecture Slides For use with Classroom Response Systems Elementary Statistics Eleventh Edition and the Triola Statistics Series by Mario F. Triola Chapter 1: Introduction to Statistics

2. The population is A collection of observations. A collection of methods for planning studies and experiments. The complete collection of all elements. D. A subcollection of members drawn from a larger group.

3. The population is A collection of observations. A collection of methods for planning studies and experiments. The complete collection of all elements. D. A subcollection of members drawn from a larger group.

4. A self-selected study is a source of bias in which factor of statistical analysis? A. Source of the data. B. Context of the data. C. Mathematical calculations. D. Sampling method.

5. A self-selected study is a source of bias in which factor of statistical analysis? A. Source of the data. B. Context of the data. C. Mathematical calculations. D. Sampling method.

6. Which is an example of quantitative data? A. Weights of high school students. B. Genders of actors and actresses. C. Colors of the rainbow. D. Consumer ratings of a particular automobile (below average, average, and above average).

7. Which is an example of quantitative data? A. Weights of high school students. B. Genders of actors and actresses. C. Colors of the rainbow. D. Consumer ratings of a particular automobile (below average, average, and above average).

8. Which is not an example of continuous data? A. Temperature on a thermometer. B. Number of students in an algebra class. C. Mean weight of 100 flour sacks. D. Amount of water pumped from a pond per day.

9. Which is not an example of continuous data? A. Temperature on a thermometer. B. Number of students in an algebra class. C. Mean weight of 100 flour sacks. D. Amount of water pumped from a pond per day.

10. Questions on a survey are scored with integers 1 thru 5 with 1 representing Strongly Disagree and 5 Strongly Agree. This is an example of what kind of measurement? A. Nominal. B. Ratio. C. Ordinal. D. Interval.

11. Questions on a survey are scored with integers 1 thru 5 with 1 representing Strongly Disagree and 5 Strongly Agree. This is an example of what kind of measurement? A. Nominal. B. Ratio. C. Ordinal. D. Interval.

12. In a large lecture room class of 300 students, a sample of 10 was taken to determine the male/female make up of the class. Which misuse of statistics does this represent? A. Percentages. B. Precise numbers. C. Missing data. D. Small samples.

13. In a large lecture room class of 300 students, a sample of 10 was taken to determine the male/female make up of the class. Which misuse of statistics does this represent? A. Percentages. B. Precise numbers. C. Missing data. D. Small samples.

14. At a security checkpoint to a government facility, every 10th individual was more thoroughly searched than the others. What type of sampling is this? A. Systemic. B. Convenience. C. Stratified. D. Cluster.

15. At a security checkpoint to a government facility, every 10th individual was more thoroughly searched than the others. What type of sampling is this? A. Systemic. B. Convenience. C. Stratified. D. Cluster.

16. Casualty data from the great flu epidemic of 1918 were collected for a study. This represents what type of study? A. Cross-sectional. B. Retrospective. C. Prospective. D. Qualitative

17. Casualty data from the great flu epidemic of 1918 were collected for a study. This represents what type of study? A. Cross-sectional. B. Retrospective. C. Prospective. D. Qualitative