Question

SP19 FLEX > This assignment is past the original due date of l Due ln You begin by looking at your data to understand them better and to know what methods of inference you can safely use ) (deck all r mup-pily there-mr-m when creating confidence intervals, which of the follo ng variables will requ 10 con t e you to check the np 210 and n -p re ha, ae- than one ORiver List Price ORiver_Days to Sell O River PMI NoRiver List Price NoRiver Days to Sell River Sales Price NoRives PMI NoRner-Sales Price Points possible: 5 Post this question to forum ipg You've already done this problem. on lant attempt:0 out of 18 (parts: M 3, 0/3,Novs, o3, 3t0/3, 0v3 out of 18 (parts:/3,0n, ovs, o3,/,o Score o Score is gradebook PMI. Find de variable in the data set (You may have to widen the columns to see the estise vanable same To do so, click on the That n 2 30 That p 30 O That tdhe histogram in bell shaped and symmetrical nnerval for the proportion of those condos whout a niver view that have Round your aawers to & decinal places) sterval for the proportsios of those condos without a river view that Round your anawers to4 decinal places) Home I My Classes Help I Log Out ms ts SP19 FLEX > This This part of your analysis looks at the sales prices for both kinds of condos those with a view. and those without. Compute the 95% confidence interval for the Total Sales Price of condos WITH a view Compute the 95% confidence interval for the Total Sales Price of condos wTHOT a view (Round answers to 3 decimal places) Points possible: 12 This is attempt 1 of 4. Post this question to forum SP19 There is a 95% chance that the population mean μ falls within $77,442 of$467,134 There is a 90% chance that the population proportion is a value between $402,754 and $531,515 we are 99% confident that the interval (389.692544576) cover, the population proportion of condos with a view. O All of the above. 个

Answer 1

1 Options: River PM1, NoRiver PMI Q2 n 1517 32, p 15/32, (1-p) 17/32 hence np 15 >10, n(1-p)17>10 Hence Options: n 2 30 210, n(1 -p)210. 98% С.Г. for the proportion of those condos without a river uiew : (0.2635, 0.6740) 92% CJ. for the proportion of those condos without a river uiew : (0.3143, 0.6232) 81% C.1. for the proportion of those condos without a river uiew : (0.3531, 0.5844) Margin of error(0.5844 -0.3531)/20.1157

3: Sample mean of Total Sales Price of condos with a view449.3562 and Sample sd of Total Sales Price of condos with a view 209.2291 to.025,31-2.0395 95% C.1, for the Total Sales Price of condos with a view (373.921, 524.791) Ži_t0.025.31 × V32 32 Sample mean of Total Sales Price of condos without a view = x2 207.0727 and Sample sd of Total Sales Price of condos without a view- s2 40.9750 95% C.1, for the Total Sales Price of condos without a view S2 S2 -(192.300, 221.846) 32 ㄧㄨㄧ·x2+ t0·025.31 ×

Q4:

One-Sample T: River_Days, No River_Day

Variable       N    Mean StDev SE Mean       95% CI
River_Days    32 107.94 54.04     9.55 (88.45, 127.42)
No River_Day 32   133.0   74.4     13.2 (106.2, 159.9)

Options 1, 2 and 6.

Q5:

One-Sample T: River_List

Variable     N   Mean StDev SE Mean      90% CI
River_List 32 467.1 214.8     38.0 (402.8, 531.5)

One-Sample T: River_List

Variable     N   Mean StDev SE Mean      95% CI
River_List 32 467.1 214.8     38.0 (389.7, 544.6)

One-Sample T: River_List

Variable     N   Mean StDev SE Mean      99% CI
River_List 32 467.1 214.8     38.0 (362.9, 571.3)

Option 1.