4. (a) Five unbiased dice were thrown 96 times and the number of times 4, 5 or 6 was
obtained, is given in the following table: (5)
No. of dice
showing 4,
5 or 6
0 1 2 3 4 5
Frequency 1 10 24 35 18 8
At 5% level of significance test whether this data comes from a binomial distribution.
You may like to use the following values.
[( 10 05. ) 11 07. ,
2
x5 = 05.0( ) 12 59. ,
2
x6 = 05.0( ) 14 07. .] 2
x7 =
(b) The yield (in kg) of 100 plots in the form of grouped frequency distribution is given
below: (5)
Yield
(kg)
Frequency
0-20 6
20-40 21
40-60 35
60-80 30
80-100 8
(i) Estimate the number of plots with an yield of
(A)40 to 80 kg
(B) 10 to 70 kg
(ii) Find the mean and standard deviation of yield.
Let H"_o": The given data comes from Binomal distribution
Total number of dice is thrown N=96 times
Probability of obtaining 4,5 or 6 "p=\\dfrac{1}{2}"
"q=1-p=1-\\dfrac{1}{2}=\\dfrac{1}{2}"
Therefore The expected frequency of obtaining 4,5 or 6 in throw of 5 dice 96 rimes as-
"N(r)=96\\times ^5C_rp^rq^{1-r}"
The table for Chi-square is given by,-
The value of "\\chi^2=\\sum \\dfrac{(O_i-E_i)^2}{E_i}=14.01"
The tabulate value of "\\chi^2" at 5% level of significance is 14.07.
Conclusion: As the calculated value of "\\chi^2" is less than the tabulated value So H_o is accepted i.e Data comes from binomal distribution.
(b) The table for given data is-
(i) Number of plots for yiled of 40-80 kg is 75.
Number of plots for yiled of 10-70 kg is 74.
(ii) Mean yiled "\\bar{x}=\\dfrac{\\sum x_i.f_i}{\\sum f_i}=\\dfrac{5800}{100}=58"
Standard deviation "\\sigma=\\sqrt{\\dfrac{(x_i-\\bar{x})^2}{100}}=\\sqrt{\\dfrac{4320} {100}}=\\sqrt{43.20}=6.57"
Comments
Leave a comment