The statistical software output for this problem is :

A 95% CI is : (0.272 , 0.328)
D)
Consider the following study on property tax in the city of Gatineau. The city of Gatineau...
A sample of Harrisonburg residents showed that a proportion of p̂=0.5 rented their housing with a 95% confidence interval of (0.49, 0.55). According to this study, do the majority of people in Harrisonburg rent? a) Yes, because 0.52 is higher than 0.50 b) No, because 0.52 is close to 0.5 c) Yes, because the confidence interval contains values above 0.50 d) No, because the confidence interval contains values less than 0.50 e) No, because 0.52 is less than 50%
A recent study of 28 city residents showed that the mean of the time they had lived at their present address was 9.3 years and the standard deviation was 2 years. Assuming a normal population, find the 90% confidence interval of the true mean. Interpret the interval estimate. A US Travel Data Center survey conducted for Better Homes and Gardens of 1500 adults found that 39% said that they would take more vacations this year than last year. Find the...
(1 point) A government official is in charge of allocating social programs throughout the city of Vancouver. He will decide where these social outreach programs should be located based on the percentage of residents living below the poverty line in each region of the city. He takes a simple random sample of 130 people living in Gastown and finds that 22 have an annual income that is below the poverty line. Part i) The proportion of the 130 people who...
A government official is in charge of allocating social programs throughout the city of Vancouver. He will decide where these social outreach programs should be located based on the percentage of residents living below the poverty line in each region of the city. He takes a simple random sample of 130 people living in Gastown and finds that 24 have an annual income that is below the poverty line. Part i) The proportion of the 130 people who are living...
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
3. True or False for each question
4. (Yes or No) because..
A) There are at least 10 successes and 10 failures in the
sample
B) There are at least 20 success and failures in the sample
C) The population has more 10 success and 10 failures
D) The 1,259 is not large enough for the central limit theorem
to apply
5. (Yes or No) because...
A) The confidence interval includes reasonable values for the
parameter that are below 50%...
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. (0.1608, 0.2992] B. (0.1508, 0.2992] C. (0.0, 1.0) D. (0.1608, 0.3145] E. none of the above
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 differences between daily calcium and iron consumption among a hypothetical sample of 300 U.S. adults, age 18 and older, who completed a nutrition assessment survey. Among the survey results: The mean difference between daily calcium and iron consumption equaled 970mg, and the standard deviation of the difference equaled 75mg. (i) Calculate a 95% confidence interval for the average difference between daily calcium and iron amounts of U.S. adults. (ii) Does the confidence interval suggest a genuine difference in the...
To study poverty in the city of Halifax, researchers will randomly select 30 blocks from the city, then randomly select 10 households from each of those blocks to be interviewed, producing a total of 300 interviews. Based on the interviews, the families will be classified as living below poverty line or not. Refer to the computer output below and answer the following related questions. i. (1 Mark) Based on the result of this study, how many families out of the...