Questions number 19 and 20 are Assertion and Reason-based questions. Two statements are given, one labelled Assertion (A) and the other labelled Reason (R). Select the correct answer from the codes (A), (B), (C), and (D) as given below.
(A) Both Assertion (A) and Reason (R) are true, and Reason (R) is the correct explanation of the Assertion (A).
(B) Both Assertion (A) and Reason (R) are true, but Reason (R) is not the correct explanation of the Assertion (A).
(C) Assertion (A) is true, but Reason (R) is false.
(D) Assertion (A) is false, but Reason (R) is true.
Step 1: Calculate the derivative of \( f(x) = x^2 - x + 1 \). The derivative is \( f'(x) = 2x - 1 \).
Step 2: Examine the sign of \( f'(x) \) on the interval \((-1, 1)\).
- When \( x = \frac{1}{2} \), \( f'(x) = 0 \).
- When \( x<\frac{1}{2} \), \( f'(x)<0 \), indicating \( f(x) \) is decreasing.
- When \( x>\frac{1}{2} \), \( f'(x)>0 \), indicating \( f(x) \) is increasing.
Step 3: Assertion (A) is false because \( f(x) \) is not strictly increasing over the entire interval \((-1,1)\).
Step 4: Reason (R) is true as it states a valid mathematical theorem. Therefore, Assertion (A) is false, and Reason (R) is true.
Step 1: The mean for a binomial distribution is calculated as \( \mu = np = 200 \times 0.04 = 8 \). Given that a Poisson approximation is used, the mean of the Poisson distribution is also 8. Therefore, Assertion (A) is true.
Step 2: The probability mass function for a Poisson distribution is defined as: \[ P(X = k) = \frac{e^{-\mu} \cdot \mu^k}{k!} \] . With \( \mu = 8 \) and \( k = 4 \), the calculation is: \[ P(X = 4) = \frac{e^{-8} \cdot 8^4}{4!} = \frac{512}{3e^8} \] . The provided expression aligns with this calculation, confirming that Reason (R) is true.
Step 3: However, Reason (R) does not provide the direct explanation for why the mean of the Poisson distribution is 8. The mean of a Poisson distribution, when approximated from a binomial distribution, is determined by \( \lambda = np \), not by the calculation of \( P(X = 4) \). Consequently, both Assertion (A) and Reason (R) are true, but Reason (R) is not the correct explanation for Assertion (A).
Self-study helps students to build confidence in learning. It boosts the self-esteem of the learners. Recent surveys suggested that close to 50% of learners were self-taught using internet resources and upskilled themselves.
A student may spend 1 hour to 6 hours in a day in upskilling self. The probability distribution of the number of hours spent by a student is given below:
\[ P(X = x) = \begin{cases} kx^2, & \text{for } x = 1, 2, 3, \\ 2kx, & \text{for } x = 4, 5, 6, \\ 0, & \text{otherwise.} \end{cases} \]
where \( x \) denotes the number of hours. Based on the above information, answer the following questions:
(i) Express the probability distribution given above in the form of a probability distribution table.
(ii) Find the value of \( k \).
(iii)(a) Find the mean number of hours spent by the student.
(iii)(b) Find \( P(1 < X < 6) \).
Self-study helps students to build confidence in learning. It boosts the self-esteem of the learners. Recent surveys suggested that close to 50% learners were self-taught using internet resources and upskilled themselves. A student may spend 1 hour to 6 hours in a day upskilling self. The probability distribution of the number of hours spent by a student is given below:
\[ P(X = x) = \begin{cases} kx^2 & {for } x = 1, 2, 3, \\ 2kx & {for } x = 4, 5, 6, \\ 0 & {otherwise}. \end{cases} \]
Based on the above information, answer the following:
When observed over a long period of time, a time series data can predict trends that can forecast increase, decrease, or stagnation of a variable under consideration. The table below shows the sale of an item in a district during 1996–2001:
\[ \begin{array}{|c|c|c|c|c|c|c|} \hline \textbf{Year} & 1996 & 1997 & 1998 & 1999 & 2000 & 2001 \\ \hline \textbf{Sales (in lakh ₹)} & 6.5 & 5.3 & 4.3 & 6.1 & 5.6 & 7.8 \\ \hline \end{array} \]