statics ch all formulas
Answers
Answer:
Mean \bar{x}=\frac{\sum x}{n} x = Observations given n = Total number of observations
Standard Deviation S = \sigma = \sqrt{\frac{\sum (x-\bar{x})^{2}}{n}} x = Observations given \bar{x} = Mean n = Total number of observations
. Mean : The mean for grouped data can be found by :
(i) The direct method =X¯=∑fixi∑fiX¯=∑fixi∑fi
(ii) The assumed mean methodX¯=a+∑fidi∑fiX¯=a+∑fidi∑fi
Where di=xi−a.di=xi−a. a = Provisional mean
(iii) The step deviation method
X=a+∑fiui∑fi×h,whereUl=Xi−ahX=a+∑fiui∑fi×h,whereUl=Xi−ah
2. Mode : The mode for the grouped data can be found by using the formula :
mode=l+[f1−f02f1−f0−f2]×hmode=l+[f1−f02f1−f0−f2]×h
ll= lower limit of the modal class.
f1f1 = frequency of the modal class.
fofo = frequency of the preceding class of the modal class.
f2f2= frequency of the succeeding class of the modal class.
h = size of the class interval.
Modal class - class interval with highest frequency.
3. Median : Median of continuous series is:
(i) (N2)th(N2)th term (if number of terms are odd)
(ii) 12[(N2)thterm+(N2+1)thterm]12[(N2)thterm+(N2+1)thterm] (if number of terms are even]
(iii) The median for the grouped data can be found by using the formula :
median=l+[n/2−Cff]×hmedian=l+[n/2−Cff]×h
ll= lower limit of the median class.
n = number of observations.
Cf = cumulative frequency of class interval preceding the median class.
f = frequency of median class.
h = class size.
4.Empirical Formula : Mode = 3 median - 2 mean.
5.Cumulative frequency curve or an Ogive :
(i) Ogive is the graphical representation of the cumulative frequency distribution.
(ii) Less than type Ogive :
• Construct a cumulative frequency table.
• Mark the upper class limit on the x-axis.
(iii) More than type Ogive :
• Construct a frequency table.
• Mark the lower class limit on the x-axis.
(iv) To obtain the median of frequency distribution from the graph :
• Locate point of intersection of less than type Ogive and more than type Ogive :
Draw a perpendicular from this point on x-axis.
• The point at which it cuts the x-axis gives us the median.