|
Eric’s Demand |
Greg’s Demand |
Katie’s Demand |
|||||
|
Price per Acre |
Number of Acres |
Price per Acre |
Number of Acres |
Price per Acre |
Number of Acres |
||
|
$14 |
1 |
$11 |
1 |
$18 |
1 |
||
|
$13 |
2 |
$10 |
2 |
$17 |
2 |
||
|
$12 |
3 |
$9 |
3 |
$16 |
3 |
||
|
$11 |
4 |
$8 |
4 |
$15 |
4 |
||
|
$10 |
5 |
$7 |
5 |
$14 |
5 |
||
|
$9 |
6 |
$6 |
6 |
$13 |
6 |
||
|
$8 |
7 |
$5 |
7 |
$12 |
7 |
||
|
$7 |
8 |
$4 |
8 |
$11 |
8 |
||
b. Assume that the supply curve for the park is shown in the following chart. Graph this supply curve on your graph from part b. What is the socially optimal size of the park (in acres)?
|
Supply Curve |
|
|
Price per Acre |
Number of Acres |
|
$13 |
1 |
|
$17 |
2 |
|
$22 |
3 |
|
$27 |
4 |
|
$31 |
5 |
|
$35 |
6 |
|
$39 |
7 |
|
$44 |
8 |
In: Economics
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 Cars | Foreign Cars | ||||||
| Car | List Price in K | Sale Price in K | Days to Sell | List Price in K | Sale Price in K | Days to Sell | |
| 1 | 6.1 | 4.4 | 36 | 83.1 | 78.5 | 101 | |
| 2 | 67.6 | 66.8 | 51 | 59.6 | 57.1 | 62 | |
| 3 | 14 | 13.4 | 87 | 37 | 32.5 | 63 | |
| 4 | 83.4 | 80.5 | 80 | 43.4 | 43.2 | 47 | |
| 5 | 40 | 35.4 | 38 | 16.3 | 15 | 93 | |
| 6 | 56 | 52 | 24 | 8.3 | 5.9 | 21 | |
| 7 | 71.2 | 68.7 | 27 | 29.2 | 27.5 | 107 | |
| 8 | 50.7 | 49.7 | 52 | 32.7 | 32.7 | 15 | |
| 9 | 4.9 | 4.3 | 74 | 23.9 | 23.5 | 12 | |
| 10 | 70.5 | 66.5 | 84 | 85.5 | 85.1 | 58 | |
| 11 | 58 | 56 | 30 | 19 | 16.3 | 96 | |
| 12 | 75 | 73.7 | 31 | 19 | 18.9 | 106 | |
| 13 | 2.8 | 1.1 | 88 | 80.8 | 77.4 | 50 | |
| 14 | 7.7 | 4 | 11 | 17.7 | 15.6 | 42 | |
| 15 | 20 | 16.2 | 20 | 71.4 | 70.4 | 75 | |
| 16 | 23 | 21.5 | 71 | 16.1 | 13.8 | 62 | |
| 17 | 6.2 | 6 | 88 | 49.2 | 45.2 | 91 | |
| 18 | 18 | 14 | 43 | 40 | 38 | 6 | |
| 19 | 97 | 93.2 | 95 | 32 | 29.2 | 52 | |
| 20 | 69.2 | 66.8 | 37 | 27.2 | 22.5 | 71 | |
| 21 | 63.5 | 60.7 | 13 | 85.5 | 82.8 | 106 | |
| 22 | 65 | 61.9 | 60 | 87.4 | 85.7 | 91 | |
| 23 | 9.9 | 7 | 24 | 58.9 | 56.9 | 83 | |
| 24 | 90.2 | 88.3 | 42 | 56.2 | 52.8 | 29 | |
| 25 | 56 | 55 | 91 | 13.5 | 10 | 76 | |
| 26 | 80 | 75.2 | 39 | 55.7 | 54.2 | 40 | |
| 27 | 58.7 | 58.3 | 58 | 75.7 | 74.6 | 47 | |
| 28 | 33.1 | 32.9 | 47 | 89.1 | 85.7 | 67 | |
| 29 | 31.5 | 28.7 | 86 | 3.5 | 3.2 | 106 | |
| 30 | 54.5 | 54.1 | 88 | 67.5 | 65.3 | 100 | |
| 31 | 22.4 | 17.8 | 30 | 41.4 | 40.1 | 10 | |
| 32 | 40.3 | 38.4 | 29 | 45.3 | 43.3 | 36 | |
| 33 | 27.2 | 22.6 | 34 | 87.2 | 85.1 | 61 | |
| 34 | 14.4 | 14.1 | 12 | 16.4 | 14.3 | 65 | |
| 35 | 5.6 | 1.5 | 86 | 32.6 | 29.1 | 25 | |
| 36 | 42.2 | 40.8 | 72 | 14.2 | 14.2 | 39 | |
| 37 | 9.5 | 6.2 | 69 | 60.5 | 59.1 | 79 | |
| 38 | 93.1 | 90.5 | 32 | 73.1 | 68.3 | 83 | |
| 39 | 10.7 | 7.3 | 15 | 48.7 | 44.7 | 65 | |
| 40 | 93.3 | 91.7 | 15 | 38.3 | 38.2 | 35 | |
| 41 | 50 | 49.1 | 19 | 6.6 | 4.3 | 6 | |
| 42 | 33.2 | 29.6 | 27 | 86.2 | 81.4 | 53 | |
| 43 | 67 | 60 | 18 | 5 | 4.6 | 108 | |
| 44 | 56 | 53.1 | 54 | 37 | 32.7 | 85 | |
| 45 | 49.5 | 48.2 | 37 | 23.5 | 21.2 | 32 | |
| 46 | 52.7 | 48.8 | 66 | 90.7 | 87.4 | 97 | |
| 47 | 41.1 | 39.7 | 78 | 84.1 | 83.8 | 16 | |
| 48 | 72.1 | 70.9 | 12 | 45.1 | 42.7 | 38 | |
| 49 | 50 | 46.9 | 84 | 51.7 | 49.9 | 53 | |
| 50 | 88 | 84.2 | 20 | 36 | 34.6 | 97 | |
| 51 | 11.8 | 11.3 | 20 | 66.8 | 65 | 45 | |
| 52 | 69.5 | 69 | 90 | 54.5 | 50.2 | 31 | |
| 53 | 63 | 62.6 | 35 | 33 | 33 | 44 | |
| 54 | 60 | 58.1 | 46 | 11.4 | 10.8 | 92 | |
| 55 | 66.7 | 66.1 | 47 | 59.7 | 57.9 | 49 | |
| 56 | 58 | 55.5 | 51 | 84.2 | 80.1 | 52 | |
| 57 | 67.2 | 62.7 | 96 | 48.2 | 43.4 | 101 | |
| 58 | 74.9 | 70.4 | 59 | 68.9 | 64.9 | 14 | |
| 59 | 71.4 | 70.2 | 14 | 60.4 | 59.9 | 98 | |
| 60 | 71.1 | 67.8 | 75 | 87.1 | 85.1 | 90 | |
| 61 | 54 | 54 | 52 | 68.3 | 66.4 | 61 | |
| 62 | 19.9 | 17.2 | 60 | 8.9 | 7.5 | 32 | |
| 63 | 49.5 | 48.6 | 56 | 39.5 | 39.3 | 48 | |
| 64 | 56.8 | 54.8 | 11 | 57.8 | 53.1 | 29 | |
| 65 | 74 | 71.3 | 71 | 59 | 57.5 | 98 | |
| 66 | 20.4 | 17 | 31 | 22.4 | 19.4 | 6 | |
| 67 | 34.5 | 32.5 | 40 | 78.5 | 77.3 | 6 | |
| 68 | 17.2 | 14.4 | 29 | 11.2 | 9.4 | 83 | |
| 69 | 45 | 42.5 | 72 | 86.2 | 82 | 79 | |
| 70 | 82 | 81 | 32 | 4 | 3.5 | 70 | |
| 71 | 40 | 39.3 | 21 | 22.6 | 21.1 | 38 | |
| 72 | 16 | 12.4 | 62 | 36 | 36 | 18 | |
| 73 | 25 | 20.1 | 72 | 88 | 87.1 | 26 | |
| 74 | 64.1 | 61.5 | 10 | 88.1 | 85.2 | 41 | |
| 75 | 39.5 | 35.4 | 71 | 66.5 | 61.8 | 100 | |
| 76 | 72 | 67.3 | 97 | 4.1 | 3.1 | 7 | |
| 77 | 13 | 10.4 | 80 | 22 | 20.6 | 11 | |
| 78 | 37.1 | 36.1 | 26 | 71.1 | 70.5 | 33 | |
| 79 | 67.7 | 62.7 | 29 | 36.7 | 33.5 | 42 | |
| 80 | 40 | 36.6 | 28 | 69.2 | 66.3 | 9 | |
| 81 | 55.9 | 52.8 | 71 | 14.9 | 12.6 | 94 | |
| 82 | 51 | 47.4 | 81 | 81 | 78.8 | 104 | |
| 83 | 50 | 45.4 | 41 | 46.9 | 44.3 | 25 | |
| 84 | 44.2 | 41 | 15 | 11.2 | 6.6 | 69 | |
| 85 | 12 | 9.8 | 31 | 7 | 5.3 | 66 | |
| 86 | 72 | 70 | 78 | 36 | 31.9 | 52 | |
| 87 | 51.6 | 46.6 | 84 | 49.6 | 46.8 | 39 | |
| 88 | 54.4 | 52.6 | 26 | 42.4 | 38.3 | 92 | |
| 89 | 44.5 | 42.5 | 92 | 4.5 | 4 | 46 | |
| 90 | 61.6 | 60.9 | 19 | 31.6 | 31 | 64 | |
| 91 | 34.1 | 33.1 | 91 | 57.1 | 53.3 | 38 | |
| 92 | 80 | 79 | 38 | 42 | 39 | 64 | |
| 93 | 61.9 | 61.1 | 85 | 71.9 | 71 | 11 | |
| 94 | 74.6 | 73.4 | 84 | 86.6 | 86.5 | 11 | |
| 95 | 17 | 14.5 | 90 | 90 | 87.2 | 6 | |
| 96 | 10.8 | 7.9 | 70 | 47.8 | 42.9 | 73 | |
| 97 | 44.7 | 43.8 | 61 | 52.7 | 52.6 | 66 | |
| 98 | 11.7 | 10.3 | 73 | 35.7 | 32 | 31 | |
| 99 | 97.9 | 95.9 | 92 | 44.9 | 43.3 | 24 | |
| 100 | 67.5 | 63 | 10 | 21.5 | 19.4 | 89 | |
| 101 | 64 | 61.9 | 43 | 84.3 | 83.2 | 31 | |
| 102 | 97.7 | 93.7 | 73 | 69.7 | 65.7 | 100 | |
| 103 | 8.9 | 6.5 | 87 | 37.9 | 37.9 | 43 | |
| 104 | 51.3 | 47.7 | 18 | 49.3 | 45.5 | 18 | |
| 105 | 56 | 53.1 | 47 | 82.7 | 82.5 | 67 | |
| 106 | 12.6 | 8.4 | 95 | 3.6 | 3.2 | 7 | |
| 107 | 42.6 | 38.7 | 73 | 53.6 | 48.9 | 87 | |
| 108 | 50 | 47.7 | 84 | 74.2 | 69.2 | 11 | |
| 109 | 25.7 | 24.8 | 38 | 56.7 | 53.2 | 50 | |
| 110 | 72.4 | 67.6 | 98 | 54.4 | 51 | 69 | |
| 111 | 20.7 | 18.3 | 16 | 38.7 | 34 | 28 | |
| 112 | 62.3 | 57.9 | 13 | 4.3 | 2.9 | 85 | |
| 113 | 41.4 | 37.4 | 61 | 19.4 | 15.9 | 7 | |
| 114 | 50 | 49 | 97 | 16.5 | 12.8 | 95 | |
| 115 | 77.9 | 76.7 | 84 | 41.9 | 41 | 52 | |
| 116 | 10 | 9.2 | 25 | 73 | 69.4 | 98 | |
| 117 | 80 | 76.1 | 44 | 56 | 55.9 | 68 | |
| 118 | 61.5 | 60 | 48 | 69.5 | 68.9 | 43 | |
| 119 | 61.1 | 58.3 | 73 | 36.1 | 32.4 | 85 | |
| 120 | 38.6 | 34.2 | 54 | 32.6 | 28 | 7 | |
| 121 | 73.9 | 68.9 | 39 | 85.9 | 80.9 | 63 | |
| 122 | 30 | 30 | 94 | 68.9 | 68.8 | 26 | |
| 123 | 56 | 51.3 | 17 | 81.3 | 78.6 | 53 | |
| 124 | 39 | 36.1 | 72 | 52 | 50.4 | 104 | |
| 125 | 7.4 | 3.5 | 81 | 60.4 | 58.2 | 67 | |
| 126 | 74.9 | 74.5 | 16 | 23.9 | 19.4 | 43 | |
| 127 | 40 | 37.9 | 43 | 59.6 | 55.8 | 28 | |
| 128 | 43 | 39 | 23 | 44.5 | 44.3 | 54 | |
| 129 | 28.8 | 24.6 | 67 | 90.8 | 88.8 | 67 | |
| 130 | 14.5 | 10.5 | 14 | 66.5 | 63.5 | 11 | |
| 131 | 10.8 | 9.9 | 59 | 60.8 | 56 | 19 | |
| 132 | 6.6 | 1.9 | 12 | 83.6 | 82.5 | 8 | |
| 133 | 12.6 | 10.7 | 51 | 35.6 | 33.7 | 41 | |
| 134 | 3.4 | 0.2 | 86 | 81.4 | 78.5 | 45 | |
| 135 | 40.6 | 40.6 | 30 | 8.6 | 3.7 | 12 | |
| 136 | 67 | 63.5 | 70 | 7.2 | 6.3 | 35 | |
| 137 | 33.6 | 32 | 97 | 80.6 | 75.7 | 44 | |
| 138 | 67 | 66 | 59 | 3.5 | 3.2 | 84 | |
| 139 | 14 | 9.5 | 94 | 52 | 49.4 | 24 | |
| 140 | 22.7 | 19.7 | 34 | 6.7 | 2.7 | 18 | |
| 141 | 69.6 | 65.6 | 26 | 54.6 | 49.6 | 65 | |
| 142 | 68.7 | 65.2 | 38 | 11.7 | 8.5 | 13 | |
| 143 | 70 | 68 | 95 | 84.7 | 82.7 | 83 | |
| 144 | 57 | 54 | 89 | 57.9 | 57.1 | 103 | |
| 145 | 56.6 | 54.6 | 89 | 22.6 | 18.3 | 97 | |
| 146 | 69.4 | 69.2 | 80 | 85.4 | 80.9 | 77 | |
| 147 | 81.7 | 77.3 | 86 | 72.7 | 70.8 | 22 | |
| 148 | 70 | 65.8 | 72 | 30.3 | 28.5 | 57 | |
| 149 | 39.3 | 37.2 | 52 | 10.3 | 6.2 | 108 | |
| 150 | 16.8 | 13.3 | 49 | 80.8 | 80.1 | 11 | |
| 151 | 65.3 | 62.5 | 19 | 64.3 | 59.6 | 100 | |
| 152 | 15.9 | 14 | 91 | 31.9 | 29 | 84 | |
| 153 | 57.5 | 54.8 | 72 | 70.5 | 66.5 | 45 | |
| 154 | 55.7 | 55 | 61 | 7.7 | 5.7 | 71 | |
| 155 | 67.3 | 63.5 | 39 | 20.3 | 16.5 | 54 | |
| 156 | 10 | 9.6 | 72 | 56 | 52.3 | 77 | |
| 157 | 96 | 94.1 | 81 | 6 | 2.1 | 46 | |
| 158 | 57.7 | 55.7 | 22 | 24.7 | 23.7 | 75 | |
| 159 | 15.7 | 15.2 | 77 | 59.7 | 55.4 | 35 | |
| 160 | 12.2 | 7.8 | 94 | 53.2 | 48.8 | 13 | |
| 161 | 56.1 | 52.5 | 58 | 48.1 | 47.8 | 24 | |
| 162 | 10.3 | 9.6 | 36 | 19.3 | 16.3 | 64 | |
| 163 | 58 | 54.7 | 98 | 6.3 | 3.5 | 61 | |
| 164 | 7.5 | 6.5 | 59 | 26.5 | 22 | 84 | |
| 165 | 14.4 | 12.8 | 62 | 44.4 | 43.7 | 59 | |
| 166 | 57.5 | 57.4 | 46 | 89.5 | 89.2 | 36 | |
| 167 | 40.1 | 39.7 | 68 | 69.1 | 67.5 | 49 | |
| 168 | 23.3 | 21 | 33 | 48.3 | 44.7 | 103 | |
| 169 | 59 | 57.9 | 53 | 89 | 84.4 | 108 | |
| 170 | 24.2 | 19.3 | 33 | 56.2 | 54.6 | 20 | |
| 171 | 62 | 59.2 | 22 | 30 | 25.1 | 67 | |
| 172 | 45 | 40.7 | 37 | 57.8 | 56.3 | 42 | |
| 173 | 42 | 42 | 33 | 70.4 | 68.5 | 16 | |
| 174 | 60 | 59.5 | 54 | 50.1 | 46.5 | 43 | |
| 175 | 77.8 | 75 | 32 | 18.8 | 15.9 | 63 | |
| 176 | 73 | 70 | 76 | 24 | 22.2 | 103 | |
| 177 | 13.4 | 12 | 53 | 38.4 | 35.5 | 16 | |
| 178 | 29 | 27.9 | 57 | 73.6 | 71.5 | 93 | |
| 179 | 97 | 92.7 | 31 | 25 | 24.7 | 60 | |
| 180 | 10 | 7.7 | 62 | 19 | 18.5 | 70 | |
| 181 | 21.7 | 19.5 | 13 | 49.7 | 49.6 | 47 | |
| 182 | 42.9 | 41.1 | 69 | 67.9 | 63.2 | 107 | |
| 183 | 23 | 20 | 42 | 28.6 | 28.3 | 50 | |
| 184 | 35 | 34.7 | 15 | 26.7 | 24.2 | 40 | |
| 185 | 3.4 | 3.3 | 34 | 51.4 | 47 | 25 | |
| 186 | 45 | 40.6 | 72 | 53.5 | 53.1 | 99 | |
| 187 | 7.9 | 4.6 | 50 | 6.9 | 2.2 | 23 | |
| 188 | 44 | 41.2 | 63 | 9.1 | 6.2 | 97 | |
| 189 | 8 | 3.1 | 36 | 70 | 68.3 | 83 | |
| 190 | 33 | 31.9 | 27 | 17 | 13 | 106 | |
| 191 | 2.6 | 2.4 | 63 | 57.6 | 55.6 | 87 | |
| 192 | 24 | 23 | 63 | 19.2 | 17.8 | 52 | |
| 193 | 23.6 | 19.7 | 30 | 34.6 | 32.2 | 46 | |
| 194 | 49.1 | 45.3 | 67 | 57.1 | 54.2 | 37 | |
| 195 | 1.5 | 1.3 | 69 | 80.5 | 80.4 | 98 | |
| 196 | 57.4 | 52.8 | 89 | 81.4 | 80.4 | 108 | |
| 197 | 60.9 | 59.8 | 56 | 69.9 | 69 | 88 | |
| 198 | 59.7 | 56.1 | 65 | 16.7 | 14.9 | 106 | |
| 199 | 1.8 | 1.7 | 20 | 78.8 | 75.4 | 7 | |
| 200 | 63.1 | 61.7 | 40 | 54.1 | 52.2 | 57 | |
In: Statistics and Probability
Two fair coins are flipped at the same time.
1) What is the probability of getting a match (same face on both coins)? Answer for part 1 [The answer should be a number rounded to five decimal places, don't use symbols such as %]
2) What is the probability of getting at least two heads? Answer for part 2 [The answer should be a number rounded to five decimal places, don't use symbols such as %]
In: Statistics and Probability
Find the z-score corresponding to a score of X= 40 and the X value corresponding to z = 0.25 for each of the following distributions.
a. μ = 50 and σ = 20
b. μ = 50 and σ = 4
c. μ = 30 and σ = 8
d. μ = 30 and σ = 4
In: Statistics and Probability
In: Statistics and Probability
In: Math
Given a normal distribution with u = 70 and o= 20, what is the probability that
In: Statistics and Probability
|
Date |
Activity |
|
The company borrowed $1,000 on a two-year note, with principle and 8% interest due at maturity. This loan from FNB Destin requires preparation of monthly financial statements. |
|
The company sold common stock to shareholders and received $90 cash. |
|
The company purchased one week worth of office supplies for use in the administrative offices, $500 cash. |
|
The company completed one tax return for a client and billed the client, Jenna Smart, $600 on invoice #101. Smart will pay the invoice within 30 days |
|
The company completed one consulting service and received cash from the client, Joseph Gerard, $100 on invoice #102. |
|
The company paid current month’s administrative expenses in cash, $150. |
|
The company paid sales commissions, $40. |
|
The company completed one tax return for a client, Regan Elise, and billed her $700 on invoice #103. Elise agreed to pay the invoice next month. |
|
Collected $450 from Joseph Smith on invoice #100 (from previous month). |
|
The company completed consulting service for a client, Riggs Auto, and billed him $300 on invoice #104. Riggs promised to pay next month. |
|
Collected $400 from Jenna Smart on invoice #101. |
|
The company paid administrative salaries, $70. |
|
The company accrues $7 of interest payable on the outstanding note payable. |
|
The company recognized that the equipment has lost value due to depreciation. Using straight-line depreciation, the controller computed depreciation of $5 for the month. |
|
Paid $25 dividends to owners.
|
In: Accounting
Suppose that Xtel currently is selling at $40 per share. You buy 500 shares using $15,000 of your own money, borrowing the remainder of the purchase price from your broker. The rate on the margin loan is 8%.
a. What is the percentage increase in the net
worth of your brokerage account if the price of Xtel
immediately changes to (a) $44; (b) $40; (c) $36?
(Leave no cells blank - be certain to enter "0" wherever
required. Negative values should be indicated by a minus sign.
Round your answers to 2 decimal places.)
| a. Percentage gain | % |
| b. Percentage gain | % |
| c. Percentage gain | % |
b. If the maintenance margin is 25%, how low can Xtel’s price fall before you get a margin call? (Round your answer to 2 decimal places.)
Price
$
c. How would your answer to requirement 2 would
change if you had financed the initial purchase with only $10,000
of your own money? (Round your answer to 2 decimal
places.)
Strike price
$
d. What is the rate of return on your margined position (assuming again that you invest $15,000 of your own money) if Xtel is selling after one year at (a) $44; (b) $40; (c) $36? (Negative values should be indicated by a minus sign. Round your answers to 2 decimal places.)
| a. Rate of return | % |
| b. Rate of return | % |
| c. Rate of return | % |
e. Continue to assume that a year has passed. How low can Xtel’s price fall before you get a margin call? (Round your answer to 2 decimal places.)
Price $
In: Economics
The Salary Institute of America (SIOA) has gathered the following data on individuals working in the retail industry in Alabama.
a. Construct a 90% confidence interval to estimate the population mean salary for females with bachelors who work in the retail industry in Alabama. Interpret your interval.
b. Suppose you would like to estimate the population proportiion of retail workers in Georgia who have a masters degree with 95% confidence and a margin of error of 3 percentage points. How large of a sample would you need? Interpret your interval.
| Gender | Age | Experience | Education | Annual_Salary |
| Male | 30 | 3 | Bachelors | $38,556 |
| Male | 31 | 1 | Masters | $35,829 |
| Female | 29 | 5 | High School | $14,371 |
| Male | 34 | 2 | Bachelors | $19,106 |
| Female | 33 | 1 | Masters | $36,109 |
| Female | 27 | 0 | High School | $17,439 |
| Female | 42 | 11 | Bachelors | $49,987 |
| Female | 21 | 0 | Bachelors | $17,784 |
| Male | 29 | 3 | Bachelors | $22,100 |
| Male | 23 | 0 | Bachelors | $26,118 |
| Female | 36 | 5 | Masters | $39,205 |
| Male | 37 | 11 | Bachelors | $42,331 |
| Female | 44 | 7 | Bachelors | $49,861 |
| Female | 25 | 2 | Bachelors | $27,750 |
| Female | 39 | 5 | Bachelors | $38,450 |
| Female | 50 | 10 | Bachelors | $76,927 |
| Male | 56 | 5 | Bachelors | $109,285 |
| Male | 44 | 12 | Masters | $50,912 |
| Female | 32 | 4 | Bachelors | $33,100 |
| Male | 28 | 0 | Bachelors | $36,901 |
| Male | 46 | 4 | Masters | $54,613 |
| Female | 23 | 0 | Bachelors | $28,743 |
| Female | 20 | 0 | High School | $15,945 |
| Female | 34 | 10 | Bachelors | $37,183 |
| Male | 46 | 7 | Bachelors | $57,966 |
| Male | 60 | 10 | Bachelors | $85,471 |
| Male | 47 | 5 | Bachelors | $54,199 |
| Female | 51 | 10 | Bachelors | $90,473 |
| Female | 33 | 6 | Masters | $40,207 |
| Male | 58 | 9 | Bachelors | $88,763 |
| Male | 53 | 13 | Masters | $90,874 |
| Male | 55 | 11 | Masters | $89,867 |
| Male | 31 | 5 | Masters | $41,956 |
| Male | 40 | 4 | Masters | $54,965 |
| Male | 33 | 2 | Bachelors | $39,224 |
| Male | 25 | 0 | Bachelors | $30,327 |
| Female | 51 | 12 | Masters | $87,489 |
| Female | 45 | 20 | Bachelors | $51,259 |
| Female | 52 | 12 | Bachelors | $93,278 |
| Male | 63 | 16 | Bachelors | $93,588 |
| Female | 35 | 5 | Masters | $43,184 |
| Female | 27 | 0 | High School | $18,014 |
| Male | 26 | 0 | Bachelors | $21,750 |
| Male | 38 | 6 | Masters | $39,455 |
| Female | 48 | 6 | Bachelors | $53,388 |
| Male | 24 | 0 | Bachelors | $29,356 |
| Male | 47 | 11 | Bachelors | $49,638 |
| Female | 50 | 8 | Bachelors | $51,194 |
| Female | 41 | 9 | Bachelors | $48,442 |
| Female | 42 | 11 | Bachelors | $50,712 |
| Female | 37 | 8 | Bachelors | $31,008 |
| Female | 35 | 3 | Bachelors | $36,932 |
In: Statistics and Probability