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HWAssignments_STA2023_E1

# HWAssignments_STA2023_E1 - Answers can be found at the end...

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Answers can be found at the end of the document Assignment 1 1. Explain the difference between a parameter and a statistic. 2. Explain the difference between qualitative and quantitative data. 3. Explain the difference between discrete and continuous data. In problems 4 – 8, identify the given value as a statistic or a parameter: 4. A study of every national park’s sales receipts for August shows they brought in an average of ten million dollars of revenue. 5. Sixty male shoppers at Aventura Mall were randomly chosen and their waist lines were measured revealing an average waist size of 37 inches. 6. A study of all homes sold at auction in Miami last year showed that the average sale price for such homes was \$109,823.00. 7. Five hundred Americans were randomly chosen and asked if they think the US should drill for oil off of its coast, and 72% said they were not in favor of drilling. 8. After reviewing the arrival times of every flight that landed at MIA last month it was determined that the on-time rate for flights into MIA was 68%. In problems 9 – 15, determine if the given values are from a discrete or continuous data set: 9. The amounts of time customers are forced to wait in line at local Publix supermarkets. 10. The number of calculators sold by the book store each week. 11. The number of cousins each FIU student has that attends university somewhere in Florida. 12. Length of the commute to campus for each student who lives off campus. 13. The heights of buildings in downtown Fort Lauderdale. 14. The ounces of beer consumed by college freshman. 15. The number of times college freshman have been sick the next day after drinking too much the night before. 16. Identify the population and the sample: A researcher wants to know what percentage of South Floridians own a gun. She polls a random selection of 100 registered voters. Is there any problem with surveying only people who are registered voters?

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17. Identify the population and the sample: A researcher wants to know the average waist size of women living in South Florida who are between 20 and 25 years old. She randomly selects 500 women from four local universities. Is there any problem with her approach? Assignment 2 18. Why do we construct frequency tables? 19. What advantages does a relative frequency table have over a frequency table? For problems 20 – 23, determine the class width, the class boundaries, and the relative frequencies: 20. Shopping Cart Contents: number of high calorie processed food items Items Frequency 0 - 5 2 6 – 11 4 12 – 17 10 18 – 23 36 24 – 29 7 21. Male heights Heights Frequency 60 – 63.9 4 64 – 67.9 9 68 – 71.9 15 72 – 75.9 8 76 – 79.9 3
22. Laptop Battery Performance Hours frequency 0.5 – 0.9 10 1.0 – 1.4 56 1.5 - 1.9 14 2.0 – 2.4 10 2.5 – 2.9 2 23. Diameter of Genetically Modified Cucumbers Diameter Frequency 2.00 – 3.99 1 4.00 – 5.99 5 6.00 – 7.99 23 8.00 – 9.99 11 10.00 – 11.99 2 24. If the smallest number in a data set is 21 and the largest 110 and we want to create a frequency table with 18 classes, what should your class width be?

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