I need help completing this week's assignment for my statistic class. It is a critical thinking assignment. Please show me how to perform the

I need help completing this week's assignment for my statistic class. It is a critical thinking assignment. Please show me how to perform the calculations on excel, such as the formulas that way I can learn. Below the questions you will find the data of the 200 cars.

An expert who works for a car magazine obtained random data (rounded to the nearest thousand) among two categories of used or new cars:

The expert would like to understand sales based on list price (rounded to the nearest thousand dollars), sale price (rounded to the nearest thousand dollars), and number of days it takes to sell each car. The complete data set is in the file named Cars.

Managerial Report

1. Descriptive statistics (mean, median, range, standard deviation, and coefficient of variation) to summarize each of the three variables for the all Domestic cars. Use z-scores to determine if there any outliers in the data set for any of the three variables. If there are any outliers in any category, please list them and state for which category they are an outlier. If a result is an outlier, state whether it is below or above the mean.
2. Descriptive statistics (mean, median, range, standard deviation, and coefficient of variation) to summarize each of the three variables for the all Foreign cars. Use z-scores to determine if there any outliers in the data set for any of the three variables. If there are any outliers in any category, please list them and state for which category they are an outlier. If a result is an outlier, state whether it is below or above the mean.
3. Compare your summary results from #1 and #2. Discuss any specific statistical results that would help the car expert understand the car market.
4. Develop a 98% confidence interval estimate of the population mean sales price and population mean number of days to sell for Domestic cars. What is the Margin of error? What are the lower (or left) and upper (or right) endpoints of the confidence interval? Interpret your results.
5. Develop a 98% confidence interval estimate of the population mean sales price and population mean number of days to sell for Foreign cars. What is the Margin of error? What are the lower (or left) and upper (or right) endpoints of the confidence interval? Interpret your results.
6. Assume the car expert requested estimates of the mean number of days to sell for the Domestic cars with a margin of error of seven days and the mean number of days of Foreign cars with a margin of error of eight days. Using 98% confidence, how large should the sample sizes be for each?
7. Suppose a Domestic car has a list price of $30,000 and a Foreign car has a list price of $30,000. What is your estimate of the final selling price (based on the percent difference for the sale and list price) and number of days required to sell each of these cars?

Domestic CarsForeign Cars

CarList Price in KSale Price in KDays to SellList Price in KSale Price in KDays to Sell

198.34036.734.139

23430.255251.526

323.919.34811.19.627

429.728.81248.145.952

526.724.1286.84.553

631.231.2307.56.539

722.720.22471.570.859

8844221.721.751

918.314.92959.559.140

1043.942.91619.117.715

1149.147.1236764.346

128.75.41779.276.162

1323.218.33029.324.932

1417.113.41569.16655

1515.314.54063.958.915

1639.735.23154.551.246

1712.49.22761.456.420

1842.340.35870.869.824

192524.21929.228.45

2036.234.83026.623.944

2113.912.13711.7958

2218.715.64312.28.511

2339.536.64451.650.636

242322.15548.848.424

2532314033.932.431

2634.933.12282.377.851

2743.639.25675.971.821

286.94.72844.139.717

2943.641.84730.527.735

30129.64456.552.319

318.76.11388.38818

327.25.31551.850.846

3339.6364725.721.68

3416.516.22134.233.142

3543.940.84575.875.324

3647.646.2575.573.525

3721.321444039.655

3829.526.966766.250

3918.616.247161522

4046.6466050.246.140

4186.11485.183.852

4211.28.6137371.222

4333.832.6281511.637

4410.17.23012.910.632

4513.913.61526.32227

4648.444.52829.828.516

4713.513.14665.762.44

486.44.24521.819.443

4938.338.23744.340.59

5038.537.74078.677.261

5136.936.4435049.245

5218.614.12557.153.823

534.53.14746.645.658

5425.422.53882.278.666

5559.957.35861.158.361

564440.5538178.935

5719.818.31877.175.344

5812.610.12034.429.423

593531.8112322.54

6052.249.94954.953.957

6138.636.65082.281.366

622423.3187974.624

634544.13123.519.328

6452.947.91676.272.562

6552.350.6303331.551

6650.947.52548.746.749

6718.316.353433.827

6834.329.55575.87419

6950.148.61735.23522

7057.456.44922.922.464

719.26.55882.879.329

7236.933.33563.863.850

7341.138.23646.441.550

7443.340.7658.757.837

7546.842.7286463.357

7651.7471187.186.150

7713.38.7197570.638

7857.354.3141714.431

7959.654.6939.636.413

8018.314.93363.862.923

8142.1415925.522.224

8213.89.24979.876.627

8332.931.3713.111.521

845452.82534.332.749

8534.431.2971.268.516

8623.622.64229.525.447

874.74523.421.67

885958.23812.69.539

8926.524.53915.51416

9034.530.8486059.44

9124.520.55620.917.112

923.91.93481.879.845

9354.8318984.156

9458.358.13038.13539

9533.632.11815.512.751

9645.642.7960.358.421

9738.834.91864.263.18

9835.634.24752.249.518

991712284.93.326

1001815.55141.341.218

10158.555.45064.663.519

10220.919.94849.645.647

10332.532.1646.442.441

1041914.43551.84954

1054.442778.877.660

10667.667.43955.254.721

10759.254.3572117.343

1082521.72532.530.567

10955.752.86243.5433

11025.723.96211.99.565

11149.144.72915.110.414

11267.766.32850.148.745

11345416581.279.736

11448.643.66383.879.135

11525.925.7556865.128

11637.8375054.450.814

11725.720.83154.551.412

11827.324.8514.91.357

1196564.23030.72950

12058.356.9574540.460

1218.64.66220.417.411

1224037332423.95

1233.932079.178.453

12421.219.35422.818.231

1253635.1236665.824

12636.233.85188.185.631

12767.466.3178.63.860

12824211938.335.160

129108.84952.149.149

13036.436.41123.720.76

13138.437.54667.163.338

13232.7284463.461.333

13311.9111145.94110

1348.75.51777.374.425

13513.510.53346.542.627

13618.314.81263.96056

1373.833783.281.362

13867.365.3535.41.755

13924.722.25396.461

14029291678.274.266

14112.411.45427.325.33

14226.421.986762.814

14324.219.27084.182.144

14459556077.773.915

14518.716.74051.751.438

14629.628.4377974.533

14746.946.5695046.110

14859.957.71030.529.729

14938.735.63349.849.747

15035.732.24559.859.117

15134.433.66017.415.767

1523227.14332.131.254

15322.818.14341.138.154

15416.916.25654.153.159

15594.22813.610.862

15663.859.4464339.345

15710.25.35485.882.956

15852.851.84835.632.653

15942.139.6222522.79

1609.67.2588.84.450

16117.814.25941.839.526

1624846.33020.419.423

16367.3631160.35922

1642925656864.568

16513.911.3496561.366

16618.216.13511.394

16754.953.56737.532.922

16878.876.56788.387.730

16910.58.41762.858.228

17021.717.82471.869.259

1717.97.12986.584.653

17225.123.83471.867.346

17322.417.52347.145.265

17462.858.31889.385.711

17573.168.387570.128

17621.120.71869.666.811

17750.846.44187.483.516

17818.518.44324.722.615

1794136.71173.972.614

18056.953.65080.679.115

18160.560.31389.18756

18256.955.1425554.371

18320171324.722.457

18419.518.254.82.339

18525.520.95384.281.814

18650.4501586.983.519

18773.170.84185.78139

18818.515.75440.838.951

18971.366.4457.253.556

1906966.9266.55.541

19160.857.81579.176.129

19219.718.71314.612.21

19321.91911.10.82

1949.48.625414

19534.932.6584.930

19621.921.313272218

19727.423.31214.811.911

19814.311.7154.453.615

1995.23.8389.587.1100

20014.310.9711.57.614