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7 tasks on statistics
Uploaded: 13.09.2013
Content: 30913111752760.rar 93,33 kB
Product description
Task 1.6.Imeyutsya information age persons working in trade over the study period (Table 6).
Table 6
Age (s)
60 20 21 38 39 49 23 49 58 24
44 27 23 28 34 42 36 28 38 48
32 55 48 24 29 48 32 38 20 37
22 34 21 26 48 49 27 25 33 28
35 47 35 28 46 53 29 29 57 36
1. Build the interval number of working-age distributions, creating five groups at regular intervals.
2. Construct a histogram of the distribution and select the modal interval.
3. Draw conclusions on the results.
Task 2.7.Vypusk products at the mill in the base year amounted to 515 million. P. Plans for next year include produce products to 517 million. P., Is actually in the reporting year produced goods to 500 million. P. Determine the relative values \u200b\u200bof the planned target, the plan and dynamics.
Task 3.8.Opredelite average defect rate for the whole company, using data from Table 21. Give her the task of justification.
Table 21
The product quality of the enterprise
Type of product defect rate of all production cost, ths. Rub.
A 936 1.56
At 2.08 1248
With 0.83 4160
Additional information
Task 4.9.Opredelite levels and missing time series in Table 31 benchmarks dynamics.
Table 31
Sales of commercial base for the 2005-2012 biennium.
Year Sales, mln. Rub. Basic performance indicators
absolute increase, mln. rub. growth rate,% rate of growth,%
2005 56.8 - 100
2006 2.9
2007 113.6
2008 15.3
2009 17.6
2010 124.7
2011 13.9
2012 14.4 26.2
Task 5.10.Na furniture factory in the base period total costs of production of desks made 975 thousand. Rub., Kitchen tables 800 thousand. Rub. Production desks in the reporting period decreased by 3%, while the production of kitchen countertops has increased by 10%. Calculate how to change in the reporting period the total production of table relative to the baseline in the whole factory.
Task 6.1.Pri sample survey of 0.5% batch of products found that of 400 samples of 80 surveyed attributed to non-standard products, and the distribution of sample by weight of the product as follows (Table 40).
Table 40
These sample survey
Weight, kg Number of samples, units
till March 20
from 3 to 3.1 70
from 3.1 to 3.2 100
from 3.2 to 3.3 120
over 3.3 90
Total 400
Set the entire batch of products:
1) with a probability of 0.997 possible limits the share of standard products;
2) with a probability of .954 possible limits the average weight of the product.
Task 7.2.Rasschitayte closeness of the relationship between the above indicators by correlating signs Fechner according to 10 stores (Table 42).
Table 42
Conditional data
Store number Turnover, mln. Rub. Inventories, mln. Rub.
1 44 3
2 60 4.7
3 70 5.1
4 82 5.4
5103 6.2
6114 7
7120 9.8
8121 8.5
9126 11.2
10 132 10.8
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