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5 tasks statistics, option 2
Uploaded: 11.08.2013
Content: 30811180626310.rar 87,28 kB
Product description
Objective 1
There is evidence of the commissioning of residential houses and average prices on the primary housing market of the Central Federal District regions combined:
№ p / p Commissioning of homes, thousand sq. M of the total area of \u200b\u200baverage prices, ths. Rub. for 1 sq.m total area number p / p Dwelling houses thousand sq. m of the total area of \u200b\u200baverage prices, ths. rub. for 1 sq.m total area
January 1100 39.3 9737 33.6
2391 29.4 10 249 29.7
3481 36.8 11 466 39.6
April 1050 35.2 12 348 31.6
5191 33.1 13 569 28.6
6501 45.2 14 452 50.7
7151 30.6 15 395 41.2
8381 26.9 16 292 37.6
Build a combined group of regions, formed by the size of the living space I 3 groups, and on average prices, creating two subgroups with equal intervals. Draw conclusions.
Task 2
There are data on the number of advanced manufacturing technologies used for the duration of their use in 2010, one of the regions of the Russian Federation:
Types of advanced technology Technology, embedded within, years
1 year 1-3 years 4-5 years 6-9 years 10 years and more
Design inzhiring 103 321 226 252 362
Integrated management and control 7 14 2 11 3
Determine the performance variations over the period of the introduction of technology separately for each type of technology. A comparative analysis.
Objective 3
The available data on the average prices on the primary housing market in four years in one of the regions of the Russian Federation, rubles per 1 sq. of the total area of \u200b\u200bapartments (at the end of the quarter):
Quarter 2007 2008 2009 2010
1 32290.69 45392.43 49442.25 45943.91
2 53983.8 33552.48 46242.49 45319.09
3 36376.82 58518.79 47218.53 46051.18
4 40032.33 59921.83 56563.33 45207.44
To analyze the dynamics of intra determine: 1) seasonality indices; 2) the seasonality factor; 3) Build a seasonal surge in prices (ignoring the general trend). Draw conclusions.
Task 4
The available data on the average monthly nominal wage of employees in the economy and the average number of employed in the economy by economic activity in one of the regions of the Russian Federation for the last two years:
Economic activity Average number of employed in the economy, thousand. People. The average monthly nominal wage of employees in the economy, rub.
Base year Base year Fiscal year Fiscal year
Manufacturing 114.8 113.1 16,428.5 20,513.9
Financing activities 5.5 5.4 28,557.8 32793
Education 37.4 36.5 11,311.5 12,304.8
Determine: 1) index of the average wage of variable composition, constant composition, structural changes; 2) absolute change in average wage in the reporting period compared with the base as a whole and including the factors. Draw conclusions.
Objective 5
There are data on the distribution of total income of the population by quintile (20 percent) groups for two periods of one of the regions of the Russian Federation:
Quintile groups Base year Fiscal year
The first (lowest income) 7.3 5.9
Second 12.2 10.7
Third 16.8 15.6
Fourth 23.1 22.8
The fifth (highest income) 45 40.6
Money incomes - total 100 100
Determine for each year separately: 1) the Gini coefficient of income concentration; 2) construct Lorenz curves. Draw conclusions.
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