8. From the data given below compute quantity index for 1983. Commodity Quantity in Price in 1982 1983 1982 ( 100 150 10 150 200 20 200 250 30 D 150 200 30
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- Spacers are manufactured to the mean dimension and tolerance shown in Figure 29-12. An inspector measures 10 spacers and records the following thicknesses: 0.372" 0.376" 0.379" 0.375" 0.370" 0.373" 0.377" 0.378" 0.371" 0.380" Which spacers are defective (above the maximum limit or below the minimum limit)? All dimensions are in inches.The following table gives the prices of some food items in the base year and current year and the quantities sold in the base year and current year. Commodity 2000 2005 Price (K) Quantity Price (K) Quantity A B C 15 20 4 15 5 10 22 27 7 12 4 5 Compute the following price index numbers for 2005 from the above table: i. Laspeyre’s price index number ii. Paasche’s price index numberThe following table gives the prices of some food items in the base year and current year and the quantities sold in the base year and current year. Commodity 2000 2005 Price (K) Quantity Price (K) Quantity A 15 15 22 12 B 20 5 27 4 C 4 10 7 5 Compute the following price index numbers for 2005 from the above table: Laspeyre’s price index number Paasche’s price index number
- 6. Compute Cumulative frequencies and cumulative percentages on the information below Cumulative Frequencies and Cumulative percentages Cumulative f Cf Percentages Percentage 67-71 2 62-66 1 57-61 2 52-56 4 47-51 6 42-46 7 37-41 8 32-36 5 27-31 2 22-26 0 17-21 2 12-16 1 ______ N= 40 ______________________Q3The following information was recorded in a toy store: Year 2016 Year 2017 Year 2018 Price Quantity Price Quantity Price Quantity Slime 6 50 9 60 10 56 Sticky tact 2 100 2 105 2 120 Stinky egg 4 60 4 50 6 60 Teddy Bear 10 30 11 26 12 24 Tortoise 8 40 11 39 12 36 Q3The following information was recorded in a toy store: (a) By using the above data, compute the Laspeyres Price Index for year 2018 by using year 2016 as base year. (b) Interpret your answer in part (a)). (c) By using the above data, compute the Paasche Price Index for year 2018 by using year 2016 as base year. (d) Which item has experienced the greatest inflation rate from year 2017 to year 2018? (Just state your answer, no calculation is needed in part (d)).The following information is on food items for the years 2010 and 2018. 2010 2018 Item Price Quantity Price Quantity Margarine (pound) $0.81 18 $2.00 27 Shortening (pound) 0.84 2 1.88 9 Milk (1/2 Gallon) 1.44 74 2.89 63 Potato Chips 2.91 26 3.99 32 Compute Paasche’s index for 2018 using 2010 as the base period. (Round your answer to 2 decimal places.)
- Data collected by a price reporting agency from more than 90,000 gasoline and convenience stores throughout the U.S. showed that the average price for a liter of unleaded gasoline was $0.87. The following data show the price per liter ($) for a sample of 20 gasoline and convenience stores located in San Francisco. 0.97 0.97 1.29 0.92 0.96 0.96 0.98 0.93 1.01 0.96 0.96 0.97 0.96 1.03 1.12 0.95 0.94 1.01 0.93 0.92 (a) Use the sample data to estimate the mean price in dollars for a liter of unleaded gasoline in San Francisco. (Round your answer to three decimal places.) (b) Compute the sample standard deviation in dollars. (Round your answer to three decimal places.) (c) Compare the mean price per liter for the sample data to the national average price. What conclusions can you draw about the cost of living in San Francisco? The average price for a liter of unleaded gasoline in San Francisco is lower than/higher than/same as the national average. This indicates…Data collected by a price reporting agency from more than 90,000 gasoline and convenience stores throughout the U.S. showed that the average price for a liter of unleaded gasoline was $0.87. The following data show the price per liter ($) for a sample of 20 gasoline and convenience stores located in San Francisco. 0.97 0.97 1.25 0.92 0.92 1.00 0.94 0.97 1.01 0.96 0.96 0.97 0.92 1.03 1.12 0.95 0.98 0.97 0.97 0.96 (a) Use the sample data to estimate the mean price in dollars for a liter of unleaded gasoline in San Francisco. (Round your answer to three decimal places.) $ (b) Compute the sample standard deviation in dollars. (Round your answer to three decimal places.) $ (c) Compare the mean price per liter for the sample data to the national average price. What conclusions can you draw about the cost of living in San Francisco? The average price for a liter of unleaded gasoline in San Francisco is the national average. This indicates that the cost of living in San…The following data represent the concentration of organic carbon collected from mineral soil. (Data is already organized in ascending order … smallest to largest) 3.02 7 8.5 10.74 16.92 3.79 7.11 8.5 10.89 17.9 3.91 7.31 8.79 11.33 17.99 3.99 7.45 9.1 11.56 21 4.6 7.66 9.11 11.72 21.4 4.71 7.85 9.29 11.72 21.82 4.8 7.9 9.6 11.8 22.62 4.85 7.92 9.81 11.97 4.9 8.05 10.3 12.57 5.5 8.37 10.72 12.89 Compute the quartiles. Q1 is ____ (blank), Q2 is ____ (blank) , and Q3 is ____ (blank) Quartiles are data values that separate your data set into ____ (blank)equal parts. TRUE or FALSE Q2 is another name for the median
- The following data represent the concentration of organic carbon collected from mineral soil. (Data is already organized in ascending order … smallest to largest) 3.02 7 8.5 10.74 16.92 3.79 7.11 8.5 10.89 17.9 3.91 7.31 8.79 11.33 17.99 3.99 7.45 9.1 11.56 21 4.6 7.66 9.11 11.72 21.4 4.71 7.85 9.29 11.72 21.82 4.8 7.9 9.6 11.8 22.62 4.85 7.92 9.81 11.97 4.9 8.05 10.3 12.57 5.5 8.37 10.72 12.89 Using your calculator, find the mean and standard deviation. Round your mean and standard deviation to the nearest hundredths. The mean is ____ (blank) and the standard deviation is ____ (blank) Find the zscore for the data value 17.99. Round your answer to the nearest hundredths. The zscore is ____ (blank)The following information is on food items for the years 2010 and 2018. 2010 2018 Item Price Quantity Price Quantity Margarine (pound) $0.81 18 $2.00 27 Shortening (pound) 0.84 2 1.88 9 Milk (1/2 gallon) 1.44 74 2.89 63 Potato chips 2.91 26 3.99 32 Compute a simple aggregate price index. Use 2010 as the base period. (Round your answer to 2 decimal places.)Use the following price information for selected items for 2010 and 2018. Production figures for those two periods are also given. Price Quantity Item 2010 2018 2010 2018 Aluminum (cents per pound) $ 0.82 $ 0.86 1,000 1,200 Natural gas $ per million BLA 4.37 2.99 5,000 4,000 Petroleum (barrel) 71.21 58.15 60,000 60,000 Platinum (troy ounce) 1,743.60 1,292.53 500 600 Determine Fisher's ideal index for 2018 using 2010 as the base period. (Round your answer to 2 decimal places.)