For the uniformly distributed random variable X with a = 0 and b = θ, the value of the ratio of raw moments (μ'3/μ'4) is.
5 / 4θ
To find the ratio of the raw moments (μ3/μ4) for a uniformly distributed random variable X with a = 0 and b = θ, we start by calculating the raw moments:
Raw moment μn for uniform distribution is given by:
μn = ∫abxnf(x)dx = ∫0θxn(θ-1)dx
Solving this integral gives:
μn = [θ-1xn+1/(n+1)] from x=0 to x=θ
μn = [θ-1(θn+1)/(n+1)] = θn/(n+1)
Using this formula, calculate μ3 and μ4:
μ3 = θ3/4
μ4 = θ4/5
Now, calculate the ratio (μ3/μ4):
(μ3/μ4) = (θ3/4) / (θ4/5)
= (θ3/4) * (5/θ4)
= 5/(θ * 4)
= 5/4θ
For a simplification, assume θ cancels out:
The ratio of raw moments is 5 / 4θ.
Find the median of the following data.
Class interval 0 - 20 20 - 40 40 - 60 60 - 80 80 - 100
Frequency 9 16 24 15 4
The age of some students is given in years as 12, 13, 16, 18,14, 19, 13, 17, 15 and 11. The median age (in years) of the students is:
The weighted aggregate price index with base year quantities taken as weights is known as:
If X ~ N(5,16), then the first quartile of X is equal to:
β2 of normal distribution is _____.
Which of the following is true?
If Q3 - Q2 > Q2 - Q1, the value of Bowley's coefficient of skewness is:
If n1 = 10, n2 = 5 are the sizes of a male and female student group with mean ages x̄1 = 10, x̄2 = 4, respectively, with an equal standard deviation σ1 = σ2 = 1, the standard deviation of the combined series with size n1 + n2 and combined mean x̄ = 8 is equal to:
For the given distribution of female weight in a colony, the quartiles are 60.1, 61.3, 62.6. The value of Bowley's coefficient of skewness is:
The regression assumption is that the deviations from the regression line (residuals) follow a:
Match the following:
| (a) Marginalist Revolution | (i) Samuelson |
| (b) Multiplier-Accelerator model | (ii) J. R. Hicks |
| (c) IS-LM curves | (iii) Jevous |
| (d) Real Business Cycle | (iv) Robert J. Borro |
Choose the correct option from those given below:
As per the SRS Bulletin of September 2017, the estimated death rate for Kerala is 7.6, while for Bihar it is 6. From these data which is the correct inference to draw?
Arrange the following States in descending order according to Maternal Mortality Ratio (MMR) as per the Special Bulletin of SRS, May, 2018:
(i) Assam
(ii) Bihar
(iii) Madhya Pradesh
(iv) Uttar Pradesh
Choose the correct answer from the code given below :
Which of the following statements is true for the Indian economy according to the World Bank figures for 2017?
Harrod's Growth model is given as under:
\(\begin{array}{ll} \mathrm{S}_{\mathrm{t}}=\alpha \mathrm{Y}_{\mathrm{t}} & 0<\alpha<1 \\ \mathrm{I}_{\mathrm{t}}=\beta\left[\mathrm{Y}_{\mathrm{t}}-\mathrm{Y}_{\mathrm{t}-1}\right] & \beta>0 \\ \mathrm{~S}_{\mathrm{t}}=\mathrm{I}_{\mathrm{t}} & \end{array}\)
where S t = Savings, Y t = Income, l t = Investment, t = time
In this model for economic growth, the condition for economic growth is