Use the given data and a 5% level of significance to determine whether the population varience for the number of days until resale are different in Thunder Bay than in Moncton. Assume the numbers of days that resale houses are on the market are normally distributed. Thunder Bay: 132, 138, 131, 127, 99, 126 moncton: 118, 85, 113, 81 please find: test statistic population (one, two or multiple) null H0 null HA graph (right, left or two tailed) distrivution ( z, t , x^2 or F) left and right critical value calculated value and whether it is ( z calculated, t calculated, x^2 calculated and F calculated) conclusion
How long are resale houses on the market? Suppose that in a survey reported that in Thunder Bay, resell houses are on the market for average of 115 days. Of course the length of time varies by market. Suppose random sample of 6 houses in Thunder Bay and 4 houses in Moncton that are up for sale are traced. The data shown here represent the number of days each house was on the market before being sold. Use the given data and a 5% level of significance to determine whether the population varience for the number of days until resale are different in Thunder Bay than in Moncton. Assume the numbers of days that resale houses are on the market are normally distributed.
Thunder Bay: 132, 138, 131, 127, 99, 126
moncton: 118, 85, 113, 81
please find:
test statistic
population (one, two or multiple)
null H0
null HA
graph (right, left or two tailed)
distrivution ( z, t , x^2 or F)
left and right critical value
calculated value and whether it is ( z calculated, t calculated, x^2 calculated and F calculated)
conclusion
Step by step
Solved in 2 steps with 2 images
