State whether the following statements are True or False. Give reasons in support of your answer:
(i) The mean square error is calculated when the estimator is unbiased.
(ii) If the sample size tends to infinity, the variance of a consistent estimator must tend to zero.
(iii) In the method of moments, population moments are equated to corresponding sample moments.
(iv) A 95% confidence interval is smaller than a 99% confidence interval.
(v) The chi-square distribution is symmetric for all degrees of freedom.
(i) False. Mean square error (MSE) is defined for any estimator, whether biased or unbiased, as it includes both variance and the square of bias; it is _________ _________ ____ ___ ________ ______ _____.
____ __________ _________ ___ _______ ___ _______ ________ ____ ________.
________ ___ ______ ________ _________ _______ ____ _______ __________ ___ _____.
_____ _____ ____ ________ ___ ________ ________.
_________ ____ ____ ________ ______ _______ __________.
______ _______ ________ _______ _______ _________ _________ ________ _______ ___ _______.
____ ___ ____ __________ __________ __________ _______ _______.
_____ ________ __________ ____ _________ _________ ___ _______ _______.
___ ________ ______ ___ ________ _________ __________ _____.
______ _____ _____ _______ ______ _________ _____ ___ _________ ___ _____.
________ ____ _______ _______ _________ _____ _________ __________ ______ _________ _______ ________.
______ _____ _________ __________ ______ _______ ____.
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A researcher wants to compare the average test scores of students taught using Method A and Method B. A random sample of students was selected from each group, and their scores are given below:
| Student | Method A | Method B |
|---|---|---|
| 1 | 68 | 72 |
| 2 | 74 | 75 |
| 3 | 71 | 78 |
| 4 | 69 | 70 |
| 5 | 73 | 76 |
| 6 | 70 | 74 |
| 7 | 72 | 77 |
| 8 | 75 | 79 |
Describe the following:
(i) t-distribution
(ii) General procedure of Testing of hypothesis
A survey was conducted to study the preference for online learning among students from urban and rural areas. Out of 300 urban students, 210 preferred online learning, while out of 250 rural students, 150 preferred online learning. Construct a 95% confidence interval for the difference between the population proportions of students preferring online learning in urban and rural areas.
State whether the following statements are True or False. Give reasons in support of your answer:
(i) The mean square error is calculated when the estimator is unbiased.
(ii) If the sample size tends to infinity, the variance of a consistent estimator must tend to zero.
(iii) In the method of moments, population moments are equated to corresponding sample moments.
(iv) A 95% confidence interval is smaller than a 99% confidence interval.
(v) The chi-square distribution is symmetric for all degrees of freedom.
A school caretaker looks after 6 children. The ages (in years) of the children are given below:
| Child | Age (in years) |
|---|---|
| Meena | 5 |
| Aarav | 4 |
| Nisha | 6 |
| Kabir | 4 |
| Pooja | 5 |
Let X1, X2, ..., Xbe a random sample from the Exponential distribution with pdf f(x; 0) = 0e-ex, x > 0, 0 > 0
(i) Obtain the maximum likelihood estimator (MLE) of 0.
(ii) Hence, find the maximum likelihood estimate of for the observed sample: 2.1, 1.6, 3.4, 0.9, 2.5
Let be a random sample from a population with mean
and variance
. Consider the estimator
$
(i) Find the bias of the estimator .
(ii) Find the variance of .
(iii) Hence, calculate the Mean Square Error (MSE) of .