A radioactive sample is observed for 5 days. After 5 days the amount of the sample is found to be 0.25% of the initial amount. Estimate the half-life of the given sample.

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**Problem Statement:**

A radioactive sample is observed for 5 days. After 5 days, the amount of the sample is found to be 0.25% of the initial amount. Estimate the half-life of the given sample.

**Explanation:**

To solve this problem, we will use the formula for exponential decay:

\[ N(t) = N_0 \times (0.5)^{t/T} \]

where:
- \( N(t) \) is the amount of substance remaining after time \( t \),
- \( N_0 \) is the initial amount of substance,
- \( T \) is the half-life of the substance,
- \( t \) is the time elapsed.

Given:
- \( N(t) = 0.0025 \times N_0 \) (since 0.25% is 0.0025 of the initial),
- \( t = 5 \) days.

We need to solve for \( T \) (the half-life):

\[ 0.0025 = (0.5)^{5/T} \]

Taking the natural logarithm of both sides:

\[ \ln(0.0025) = \frac{5}{T} \ln(0.5) \]

Solving for \( T \):

\[ T = \frac{5 \ln(0.5)}{\ln(0.0025)} \]

Plug the values into a calculator to find \( T \):

\[ T \approx \frac{5 \times (-0.6931)}{-5.9915} \]

\[ T \approx 0.578 \text{ days} \]

Therefore, the estimated half-life of the given sample is approximately 0.578 days.
Transcribed Image Text:**Problem Statement:** A radioactive sample is observed for 5 days. After 5 days, the amount of the sample is found to be 0.25% of the initial amount. Estimate the half-life of the given sample. **Explanation:** To solve this problem, we will use the formula for exponential decay: \[ N(t) = N_0 \times (0.5)^{t/T} \] where: - \( N(t) \) is the amount of substance remaining after time \( t \), - \( N_0 \) is the initial amount of substance, - \( T \) is the half-life of the substance, - \( t \) is the time elapsed. Given: - \( N(t) = 0.0025 \times N_0 \) (since 0.25% is 0.0025 of the initial), - \( t = 5 \) days. We need to solve for \( T \) (the half-life): \[ 0.0025 = (0.5)^{5/T} \] Taking the natural logarithm of both sides: \[ \ln(0.0025) = \frac{5}{T} \ln(0.5) \] Solving for \( T \): \[ T = \frac{5 \ln(0.5)}{\ln(0.0025)} \] Plug the values into a calculator to find \( T \): \[ T \approx \frac{5 \times (-0.6931)}{-5.9915} \] \[ T \approx 0.578 \text{ days} \] Therefore, the estimated half-life of the given sample is approximately 0.578 days.
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