# Statistics (8 objectives)

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# Description

The following data on the operation of stores Association in 2007 .:
Store number Turnover, mln. Rub. Store number Turnover, mln. Rub. the contract is actually under the contract actually
1
2
3
4
5
6
7
8
9
10211
130
327
950
510
130
227
274
97
170222
132
325
940
516
142
229
283
115
171 11
12
13
14
15
16
17
18
19
20867
299
417
540
500
338
416
232
419
195867
304
423
547
490
332
419
230
435
190
On the basis of these data stores make group Association for the level of implementation of treaty obligations in terms of turnover, forming a group with the following stores:
a) 100.0%;
b) 100.0 - 100.9%;
c) 101.0 and above.
The predicate group table must contain the following parameters:
1) the number of stores
2) trade under the contract and the amount actually in the average per store;
3) the level of fulfillment of contractual obligations (in%) in each group and in general;
4) the amount of losses (-), or the excess amount of actual turnover, compared with the contract (+).
The results are summarized in Table draw conclusions about the level of implementation of treaty obligations.

The available data on the sale of meat and meat products in the city market:
Name of meat products sold in December 2007. Forecast on sale in January 2008.
price per 1 kg., rubles. sales revenue,
rub. price per 1 kg., rubles. sales revenue,
rub.
Beef
Pork
Lamb 550.0
500.0
400.0 990 000.0
600 000.0
340 00.0 680.0
650.0
500.0 3600
3000
1850
1. On the basis of the data determined by the average selling price of these products:
a) in December
b) in January.
2. Determine the change in average prices in January compared to December (in absolute and relative terms).
Give the rationale for the use of formulas for the calculation of averages.

The available data on the sale of the product and the market of the city:
Market December January number, ie the number of modal, modal t
1
2
3
4600
-
400
310150
-
90
250500
30
420
350170
600
120
350
On the basis of these data, determine:
1) The price index of constant composition;
2) The price index of variable composition;
3) The index of structural changes;
4) The change in the average price (in absolute terms) in January, the markets of the city as a whole and by the action of individual factors.

In the study of the level of education of specialists of commercial structures, the following data:
Education have skills on a computer not have the skills to work on a computer Subtotal:
Higher Vocational 87
53 13
37100
90
Total: 140 50 190
To assess the closeness of the connection between education and the ability to work on a computer, determine:
1) The ratio of the association;
2) coefficient of contingency.
Give the rationale for the use of the formulas used in calculating the closeness of the connection.

The following data on the operation of stores Association in 2007 .:
Number Store Turnover mln. Rub. Number Store Turnover mln. Rub.
According to the agreement According to the agreement actually actually
1
2
3
4
5
6
7
8
9
10210
129
327
950
510
130
225
276
93
105215
132
324
951
516
144
227
288
110
115 11
12
13
14
15
16
17
18
19
20170
965
299
418
540
330
418
232
420
198172
855
305
425
548
329
425
230
435
201
On the basis of these data stores make group Association for the level of implementation of treaty obligations in terms of turnover, forming a group with the following stores:
a) 100.0%
b) 100,0-100,9%
c) 101.0% and above
The predicate group table must contain the following parameters:
1) the number of stores;
2) trade under the contract and the amount actually in the average per store;
3) the level of fulfillment of contractual obligations (in%) in each group and in general;
4) the amount of losses (-), or the amount in excess of the actual turnover, compared with the contract (+).
The results take the form of statistical tables. Make a brief summary.

Using the above data on the three bases of the city, specify (for the period)
a) the average percentage of the job in terms of implementation;
b) the average percentage of sales of standard products on three bases in general:
Database actual turnover for the reporting period, mln. Rub. The percentage of the task to implement the percentage of standard products
1
2
3 910.0
810.0
715.0 98.5
102.3
95.6 85.0
97.0
82.3
Specify which formula the average values \u200b\u200bwere used to calculate the specified indicators.

The available data on the sale of the product and the market of the city:
Market December January
Number, t Modal price for 1kg rubles. Number, t Modal price for 1kg rubles.
1
2
3100
250
50 60
100
400 90
300
300 80
130
410
On the basis of these data, determine:
1) The price index of constant composition;
2) The price index of variable composition;
3) The price index of structural changes;
4) a change in the average price (currency values) in January, the markets of the city as a whole and by the action of individual factors.

There are data on 500 farms.
In order to determine the closeness of the relationship between productivity and the level of soil udobryaemosti get coefficients of mutual contingency Pearson Chuprov.
Number of fertilizers Yield Total
High Medium Low
High
Central
Low 140
110
50 80
25
15 30
25
25250
150
100
300 120 80 500

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