Multiple Choice Question Consider the following study that in a random sample of 100 houses in...
5. Multiple Choice Question Consider the following study that in a random sample of 100 houses in Toronto, 23 are heated by electricity. Construct a 90% confidence interval for the proportion of houses in Toronto that are heated by electricity. A. 10.1608, 0.2992] B. |0.1508, 0.2992] C. 10.0, 1.01 D. (0.1608, 0.3145) E. none of the above
Consider the following study that in a random sample of 100 houses in Toronto, 23 are heated by electricity. Construct a 90% confidence interval for the proportion of houses in Toronto that are heated by electricity. A. (0.1608, 0.2992] B. (0.1508, 0.2992] C. (0.0, 1.0] D. [0.1608, 0.3145] E. none of the above
Multiple Choice Question Consider the following sample: 16, 13, 10, 17, 16, 14, 5, 12, 15, 8, 9, 10, 15, 22, 8. Calculate the variance and interquartile range of the sample, respectively. A. 19.38; 7 B. 15.7; 7 C. 4.40; 7 D. 19.38; 7.5 E. 19.38; 6.5 Multiple Choice Question Assume that the monthly rainfall in Ottawa is normally distributed with mean 35.4 inches and standard deviation 4.2 inches. A research is conducted at the university of Ottawa for 10...
The real estate assessor for a county government wants to study various characteristics of single-family houses in the county. A random sample of 49 houses reveals the following: Heated area of the houses (in square feet): = 1720, S = 350 a. Construct a 90% confidence interval estimate for the population mean heated area of the houses. b. Interpret the interval constructed in (a).
1. Find the sample size needed to estimate the proportion of houses that have security systems if the sample proportion h = 0.19, the margin of error is 0.02, and the confidence level is 90%. 2. Suppose that in a random sample of 50 adults, 41 were registered to vote. Construct a 95% confidence level interval for the population proportion of registered voters.
C Y 0 Multiple Choice Question Consider the discrete random variables X and Y with the following joint probability mass function: fxy(x, y) - 1 1/8 0 -1 1/4 0 1/4 0 1/8 -1 1/8 -1 1/8 Given that X is not negative, what is the probability that Y is also not negative? 1 1 1 1 A. 0.5 B. 0.8 C. 0.4 D. 0.25 E. none of the preceding Multiple Choice Question We measured the compressive strength for n...
A random sample of 100 households was selected as part of a study on electricity usage, and the number of kilowatt-hours (kWh) was recorded for each household in the sample for the March quarter of 2016. The average usage was found to be 660 kWh and it was found that the standard deviation of the usage was 80 kWh. Construct a 90% confidence interval for the mean usage in the March quarter of 2016 Does the data provide significant evidence,...
Question number 13 In a random sample of 100 people, 47 consider themselves as baseball fans. Compute a 99% confidence interval for the true proportion of people consider themselves as baseball fans and fill in the blanks appropriately. We are % confidence that the true proportion of people consider themselves as % confider baseball fans is between (Keep 3 decimal places) and
In a random sample of 100 homes in a certain city, it is found that 10 are heated by oil. (a) Find a 92% confidence interval for the true proportion of homes in the city that are heated with oil. (b) How large would the sample have to be in order to have a standard error that is 0.003 or lower?
3. Based on a random sample of 500 measurements, the sample proport Consider the test of hypothesis: Но: π-0.30 На: п < 0.30 with a-0.05 Calculate the test statistic z, the P-value, and make a decision about Ho. a. b. Construct a 95% confidence interval for the true population proportion Assuming the same confidence level as in the population proportion question (part b above), what sample size would be required to reduce the margin of error of the confidence interval...