# MUBINT Statistics Var 9

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# Description

Objective 1

The following data sample survey of 24 parts of the plant engineering.
Swipe grouping items in length, forming 5 groups with equal intervals
Give a graphic representation of the sample, build the landfill, the histogram cumulates.
Calculate Optional Features:
Sample mean
Sample variance, sample standard deviation
Fashion and median
Coefficient of variation
With a probability of 0.95, calculate the margin of error and sample proportion border the share of components is no longer than 1.5 m.

There is evidence of the amount of precipitation during the growing season.
1. Absolute and relative (basic and chain) level indicators of a number of speakers.
Objective 3

Install the closeness of the relationship between y and x signs for this:
1. Define the parameters of the regression equation, assuming a linear relationship
2. Calculate the linear correlation coefficient and the coefficient of determination.

From the data of market information to determine the following basic and chain indices:
1. Individual
a) the physical volume of goods «b» Market D
b) the price of goods «b» Market C
c) The turnover of goods «b» Market C.
2. The arithmetic mean of price:
A) Product «a» Markets A-D, weighted by sales volume;
B) common goods "a", "b", "c" market A.
3. Aggregate market turnover A.
Objective 5

The movement of population in the region is characterized by the following data:
The population at the beginning of the year - 4900
The population at the end of the years - 5100
The number of women aged 15-49 at the beginning of the year - 1630
The number of women aged 15-49 at the end of the year - 1670
During a year:
-genus -41
- Died -55
Deaths of children under years - 0.49
-pribylo from other regions - 2.22
Disposed in other areas -3.57
Marry - 6.05
Concluded divorce - 8.34
To determine the coefficients of natural and mechanical movement of the population.

The average monthly wage of workers in the field of current prices in the base year amounted to 5 thousand. Rub. 5.6 thousand in the reporting. rub. Consumer prices in the reporting year compared with the base increased by 22%. The share of taxes in wages in the base year was 10%, 13% in the reporting. Calculate the index of purchasing power of money, the nominal wage; real wages.

Target 7

The following data thousand.
- Mid-year population - 233
Total employed in the economy - 101
The number of unemployed - 14
Determine the number of economically active population, the coefficients of the economically active population, employment, unemployment.
Target 8

The amount of the payroll for all employees of the organization calendar days of the reporting period amounted to 99 740 people., Holidays and weekends 17540 man-days next holiday 6920 man-days actually worked 79,610 man-days. Determine the funds and time factors of working time.
Target 9

In the reporting period the production activity of the company is as follows:
Finished Products - 8000
Semi-finished products - 2300
Consumption of semi-finished products for own needs - 2000
Implemented semis - 0
Sold finished products - 7500
The works of an industrial nature on orders from - 120
Remains of work in progress at the beginning of the year - 150
At the end of the year - 120
Determine the gross output elementwise method.

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