Calculate the z-scores (to two decimal places) for each observation. Z1 = Z2 = Z3 = Z4= Z5= Z6= Z7= - Z8 = 2 3 Lunch Spending ($) = x; 28 10 1 15 5 8 606 7 10 618 Z-Scores
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- Avg. Rate of Change of f over [5,5+ h] h Avg. Rate of 8 4.3 4.03 4.003 4.0003 -1 -0.1 -0.01 -0.001 -0.0001 Change of f over 2 3.7 3.97 3.997 3.9997 [5 + h, 5] Estimate f'(5). f'(5) = Need Help? Read ItQd Qs 4.75 Price of Coffee ($ per 4.5 cup) 4.25 4 3.75 3.5 3.25 2.75 2.5 2.25 2 1.75 1.5 1.25 1 0.75 0.5 0.25 2. 25 1. 3. 4. 6. 00 Quantity of coffee, thousands of cups 1.5 4.5 6.5 9.5When is the indicator (consumer confidence index) released (date of release) and how is data collected?
- 8.2 3 5 Lunch Spending ($) = x; 28 10 1 15 8 7 10 00 10 Z-scoresA family has 15 members and has the following income data. $52,000, $22,000, $92,000, $8,000, $118,000, $62,000, $38,000, $14,000, $132,000, $46,000, $26,000, $96,000, $54,000, $110,000, $80,000 Answer the following questions. Show computations whenever possible. 1. Calculate the percent share of income for each quintile, from the lowest to the highest quintile. 2. 3. ( ) Calculate the cumulative share of income of this family group. What would you say about the income gap and incomes distribution of the family members? 4. Going back to the real world income distribution, other than the progressive tax system, which one of the income redistribution program do you think is the most effective method in helping the near-poor, and why?
- Data analysis, please show all work A company makes a laser product. The product is well made, but is expensive to manufacture. As indicated, the product is well made, so 98.7% of lasers function as advertised. However, 1.3% are returned for being defective. For each laser they manufacture, the company makes $204 in profit. However, when the product is defective, it costs the company $1340 (in shipping refunds, repair, etc). How much can the company expect to make (or lose!) each time they sell a laser?The bacteria in a culture grows by 5% in the first hour, decreases by 10% in the second hour and increases by 2% in the third hour. If the original count of the bacteria is 50000, Calculate the count of bacteria at the end of 3 hourUse the following cell phone airport data speeds (Mbps) from a particular network. Find the percentile corresponding to the data speed 0.6 Mbps. 0.4 0.4 0.1 0.6 0.2 0.6 0.7 0.8 1.6 4.8 9.7 1.9 5.4 10.7 0.3 0.6 2.2 5.4 10.9 Percentile of 0.6= (Round to the nearest whole number as needed.) 0.3 0.7 2.5 5.5 11.6 2.6 5.8 12.5 C 2.7 6.2 13.5 0.4 0.9 2.8 6.9 13.8 0.5 1.2 2.8 8.6 14.1 0.5 1.5 A 3.7 8.8 15.5 0.5 1.5 3.9 9.6 28.3