record | Agent | Price | Size | Bedrooms | Baths | Pool (yes is 1) | Garage (Yes is 1) | Days | Township | Mortgage type | Years | FICO | Default (Yes is 1) | ||
1 | Marty | 206424 | 1820 | 2 | 1.5 | 1 | 1 | 33 | 2 | Fixed | 2 | 824 | 0 | ||
2 | Rose | 346150 | 3010 | 3 | 2 | 0 | 0 | 36 | 4 | Fixed | 9 | 820 | 0 | ||
3 | Carter | 372360 | 3210 | 4 | 3 | 0 | 1 | 21 | 2 | Fixed | 18 | 819 | 0 | ||
4 | Peterson | 310622 | 3330 | 3 | 2.5 | 1 | 0 | 26 | 3 | Fixed | 17 | 817 | 0 | ||
5 | Carter | 496100 | 4510 | 6 | 4.5 | 0 | 1 | 13 | 4 | Fixed | 17 | 816 | 0 | ||
6 | Peterson | 294086 | 3440 | 4 | 3 | 1 | 1 | 31 | 4 | Fixed | 19 | 813 | 0 | ||
7 | Carter | 228810 | 2630 | 4 | 2.5 | 0 | 1 | 39 | 4 | Adjustable | 10 | 813 | 0 | ||
8 | Isaacs | 384420 | 4470 | 5 | 3.5 | 0 | 1 | 26 | 2 | Fixed | 6 | 812 | 0 | ||
9 | Peterson | 416120 | 4040 | 5 | 3.5 | 0 | 1 | 26 | 4 | Fixed | 3 | 810 | 0 | ||
10 | Isaacs | 487494 | 4380 | 6 | 4 | 1 | 1 | 32 | 3 | Fixed | 6 | 808 | 0 | ||
11 | Rose | 448800 | 5280 | 6 | 4 | 0 | 1 | 35 | 4 | Fixed | 8 | 806 | 1 | ||
12 | Peterson | 388960 | 4420 | 4 | 3 | 0 | 1 | 50 | 2 | Adjustable | 9 | 805 | 1 | ||
13 | Marty | 335610 | 2970 | 3 | 2.5 | 0 | 1 | 25 | 3 | Adjustable | 9 | 801 | 1 | ||
14 | Rose | 276000 | 2300 | 2 | 1.5 | 0 | 0 | 34 | 1 | Fixed | 20 | 798 | 0 | ||
15 | Rose | 346421 | 2970 | 4 | 3 | 1 | 1 | 17 | 3 | Adjustable | 10 | 795 | 0 | ||
16 | Isaacs | 453913 | 3660 | 6 | 4 | 1 | 1 | 12 | 3 | Fixed | 18 | 792 | 0 | ||
17 | Carter | 376146 | 3290 | 5 | 3.5 | 1 | 1 | 28 | 2 | Adjustable | 9 | 792 | 1 | ||
18 | Peterson | 694430 | 5900 | 5 | 3.5 | 1 | 1 | 36 | 3 | Adjustable | 10 | 788 | 0 | ||
19 | Rose | 251269 | 2050 | 3 | 2 | 1 | 1 | 38 | 3 | Fixed | 16 | 786 | 0 | ||
20 | Rose | 547596 | 4920 | 6 | 4.5 | 1 | 1 | 37 | 5 | Fixed | 2 | 785 | 0 | ||
21 | Marty | 214910 | 1950 | 2 | 1.5 | 1 | 0 | 20 | 4 | Fixed | 6 | 784 | 0 | ||
22 | Rose | 188799 | 1950 | 2 | 1.5 | 1 | 0 | 52 | 1 | Fixed | 10 | 782 | 0 | ||
23 | Carter | 459950 | 4680 | 4 | 3 | 1 | 1 | 31 | 4 | Fixed | 8 | 781 | 0 | ||
24 | Isaacs | 264160 | 2540 | 3 | 2.5 | 0 | 1 | 40 | 1 | Fixed | 18 | 780 | 0 | ||
25 | Carter | 393557 | 3180 | 4 | 3 | 1 | 1 | 54 | 1 | Fixed | 20 | 776 | 0 | ||
26 | Isaacs | 478675 | 4660 | 5 | 3.5 | 1 | 1 | 26 | 5 | Adjustable | 9 | 773 | 0 | ||
27 | Carter | 384020 | 4220 | 5 | 3.5 | 0 | 1 | 23 | 4 | Adjustable | 9 | 772 | 1 | ||
28 | Marty | 313200 | 3600 | 4 | 3 | 0 | 1 | 31 | 3 | Fixed | 19 | 772 | 0 | ||
29 | Isaacs | 274482 | 2990 | 3 | 2 | 1 | 0 | 37 | 3 | Fixed | 5 | 769 | 0 | ||
30 | Marty | 167962 | 1920 | 2 | 1.5 | 1 | 1 | 31 | 5 | Fixed | 6 | 769 | 0 |
Create a confidence interval for a population mean and interpret it. Use either 90 95 or...
Create a hypothesis test question and show all the steps to solve it. Example: You found the mean for each quantitative variable. So, one at a time, is there significant evidence that the population maintenance cost for buses is more than###? and Find the regression equation for the 2 variables and explain what it is you found. Create a hypothesis test question for price and Size. record Agent Price Size Bedrooms Baths Pool (yes is 1) Garage (Yes is 1)...
Chapter 8 - Fl_student_survey - Do the hypothesis test to check if the population proportion of Republicans is less than.50? Also, calculate and interpret the 95% confidence intervals for the population proportion. Please show all the details/relevant graphs and explanations. Data: 060300210110,,2 0 0 1 1 2 2 1 000 33 000 053637433 2172 111302047 2272 7,5 4 5 6 5 2 3 sl 15 3 1 1 3679 12 0 4 2 7 473 236 5 7 10 14...
a. a 95% confidence interval for the population mean Age; b. a 99% confidence interval for the population mean Income; c. a 90% confidence interval for the population proportion of Males. use ms excel file Product Age Gender Education Marital Status Usage Fitness Income Miles TM195 18 Male 14 Single 3 4 29562 112 TM195 23 Male 16 Partnered 4 3 39795 94 TM195 24 Female 16 Single 4 3 46617 75 TM195 26 Male 16 Partnered 2 2 53439...
And construct a 95% confidence interval for the population mean for sample B 8.2.13-1 95% confidence interval for the population mean for each of the samples below plain why these Assuming that the population is normally distributed, construct a two samples produce differen t confidence intervals even though they have the same mean and range Full dataset SampleA: 1 1 4 4 5 5 8 8 Sample B: 1 2 3 45 6 7 8 Construct a 95% confidence interval...
Assuming that the population is normally distributed, construct a 90% confidence interval for the population mean for each of the samples below. Explain why these two samples produce different confidence intervals even though they have the same mean and range. Sample A: 1 4 4 4 5 5 5 8 Full data set Sample B: 1 2 3 4 5 6 7 8 Construct a 90% confidence interval for the population mean for sample A. (Type integers or decimals rounded...
Assuming that the population is normally distributed, construct a 95% confidence interval for the population mean, based on the following sample size of .n=7. 1, 2, 3, 4, 5, 6, and 15 <-----this is the data In the given data, replace the value 15 with 7 and recalculate the confidence interval. Using these results, describe the effect of an outlier (that is, an extreme value) on the confidence interval, in general. Find a 95% confidence interval for the population mean,...
Build 90%, 95% and 99% confidence intervals for the population mean. We do not know standard deviation. Remember of “Chinese product” joke. [4 5 5 2 4 4 6 3 3 7 5 3 6 3 4 4 6 5 4 5 3 7 5 5 4 2 6 5 6 6]
Assuming that the population is normally distributed, construct a 90% confidence interval for the population mean, based on the following sample size of n-6. 1, 2, 3, 4, 5, and 19 Change the number 19 to 6 and recalculate the confidence interval. Using these results, describe the effect of an outlier (that is, an extreme value) on the confidence interval. Find a 90% confidence interval for the population mean, using the formula or calculator. [ ] SHS (Round to two...
Assuming that the population is normally distributed, construct a 95 % confidence interval for the population mean, based on the following sample size of n=8. 1, 2, 3, 4, 5, 6, 7 , and 19 In the given data, replace the value 19 with 8 and recalculate the confidence interval. Using these results, describe the effect of an outlier (that is, an extreme value) on the confidence interval, in general. Find a 95% confidence interval for the population mean, using...
Assuming that the population is normally distributed, construct a 90 % confidence interval for the population mean, based on the following sample size of n equals 6. 1, 2, 3, 4, 5, and 23 In the given data, replace the value 23 with 6 and recalculate the confidence interval. Using these results, describe the effect of an outlier (that is, an extreme value) on the confidence interval, in general. Find a 90 % confidence interval for the population mean, using...