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Introduction to Statistics Review

Introduction to Statistics Review. Chapter 1 Probability & Statistics. The following describe different data associated with a state senator. For each data entry, indicate the corresponding level of measurement. Levels of Measurement. The senator’s name is Sam Wilson. Nominal Level

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Introduction to Statistics Review

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  1. Introduction to Statistics Review Chapter 1 Probability & Statistics

  2. The following describe different data associated with a state senator. For each data entry, indicate the corresponding level of measurement.

  3. Levels of Measurement The senator’s name is Sam Wilson. • Nominal Level • Ordinal Level • Interval Level • Ratio Level

  4. Levels of Measurement The senator is 58 years old. • Nominal Level • Ordinal Level • Interval Level • Ratio Level

  5. Levels of Measurement The years in which the senator was elected to Senate are 1980, 1986, 1992, and 1998. • Nominal Level • Ordinal Level • Interval Level • Ratio Level

  6. Levels of Measurement The senator’s total taxable income last year was $878,314.19. • Nominal Level • Ordinal Level • Interval Level • Ratio Level

  7. Levels of Measurement The senator sponsored a bill to protect water rights. Out of 1100 voters in his district, 400 said they strongly favored the bill, 300 said they favored the bill, 200 said they were neutral, 150 said they did not favor the bill, and 50 said they strongly did not favor the bill. • Nominal Level • Ordinal Level • Interval Level • Ratio Level

  8. Levels of Measurement The senator is married. • Nominal Level • Ordinal Level • Interval Level • Ratio Level

  9. Levels of Measurement A leading news magazine claims the senator is ranked seventh for his voting record on bills regarding public education. • Nominal Level • Ordinal Level • Interval Level • Ratio Level

  10. For each of the following situations, indicate the type of sampling.

  11. Types of Sampling To conduct a pre-election opinion poll on a proposed amendment to the state constitution, a random sample of 10 telephone prefixes (first three digits of phone number) was selected, and all households from the phone prefixes were called. • Random • Cluster • Stratified • Systematic • Convenience

  12. Types of Sampling To conduct a study on depression among the elderly, a sample of 30 patients in one nursing home was used. • Random • Cluster • Stratified • Systematic • Convenience

  13. Types of Sampling To maintain quality control in a plant, every 20th bottle of Pepsi coming off the production line was opened and tested. • Random • Cluster • Stratified • Systematic • Convenience

  14. Types of Sampling Subscribers to the magazine Sound Alive were assigned numbers. Then a sample of 30 subscribers was selected by using a random-number table. The subscribers in the sample were invited to rate new CD players for a “What Subscribers Think” column • Random • Cluster • Stratified • Systematic • Convenience

  15. Types of Sampling To judge the appeal of a proposed television sitcom, a random sample of 10 people from each of three different age categories was selected and those chosen were asked to rate a pilot show. • Random • Cluster • Stratified • Systematic • Convenience

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