Confidence interval for the mean: Hoping to lure more shoppers downtown, a city builds a new...
Hoping to lure more shoppers downtown, a city builds a new public parking garage in the central business district. The city plans to pay for the structure through parking fees. For a random sample of 44 week-days, daily fees collected averaged $1,264, with a sample standard deviation of $150. 1. What assumption must you make in order to use these statistics for inference (Hint: what assumptions are you used using sample data statistics to infer about the population) 2. Write...
Hoping to lure more shoppers downtown, a city builds a new public parking garage in the central business district. The city plans to pay for the structure through parking fees. For a random sample of 43 weekdays, daily fees collected averaged $128, with standard deviation of $12. Complete parts a through e below. b) Find a 99% confidence interval for the meandaly Income this parking garage will generate The 99% confidence interval for the mean daily income is ($ )....
30) Parking Hoping to lure more shoppers downtown, a city uilds a new public parking garage in the central business district . The city plans to pay for the structure through parking fees. During a two-month period (44 weekdays) daily fees collected averaged $126, with a standard deviation of $15. a) What assumptions must you make in order to use these statistics for inference? b) Write a 90% confidence interval for the mean daily income this parking garage will generate...
A city's mayor plans to build a new public parking garage in order to lure more shoppers in the area. They plan to pay for this structure with the money collected from parking fees. For a random sample of 38 weekdays, the average daily fee collected was $130 80 with a standard deviation of $11.7. Find the following for a confidence interval of a population mean, a) The margin of error (bound on the error of estimation) at a 90%...
The health commissioner of city B postulated that the mean daily intake of vitamin E (a possible cancer-preventing nutrient) in adults over 20 years of age was 10 mg. Wishing to test this assumption, you draw a random sample of 125 adults from city B and ask them to complete a dietary questionnaire. You find from analyzing the questionnaire that X bar equal 8.4 mg vitamin E per day and s equal 9.1 mg vitamin E per day. State your...
Construct a 90% confidence interval for the population mean, μ. Assume the population has a normal distribution and interpret. A sample of 15 randomly selected math majors has a grade point average of 2.86 with a standard deviation of 0.78. • You must show the shaded region. • Give the calculator keystrokes for how you got the critical value for the regions. • You must show the formula for the appropriate confidence interval, show the plugging in of values, then...
You intend to estimate a population mean with a confidence interval. You believe the population to have a normal distribution. Your sample size is 15. Find the critical value that corresponds to a confidence level of 98%. (Report answer accurate to three decimal places with appropriate rounding.) ta/2 = ± _________
You intend to estimate a population mean with a confidence interval. You believe the population to have a normal distribution. Your sample size is 53. Find the critical value that corresponds to a confidence level of 99.5%. (Report answer accurate to three decimal places with appropriate rounding.) ta/2 = ±
Consider the usual confidence interval for the mean of a normal population with known variance. What is the relationship between confidence and precision as measured by interval width? A. For a fixed sample size, decreasing the confidence level has no effect on the precision B. For a fixed sample size, decreasing the confidence level decreases the precision C. For a fixed sample size, decreasing the confidence level increases the precision D. None of the above
Confidence Interval The quality-control manager at a light bulb factory needs to determine whether the mean life of a large shipment of light bulbs is equal to 375 hours. The population standard deviation is 120 hours. A random sample of 64 light bulbs indicates a sample mean life of 350 hours. 1. At the 95% confidence level, what is the critical value? 39. What is the confidence interval based on this data? 2. Is there evidence that the mean life...