document.write( "Question 1193540: (a) The regional manager of a bank wants to analyze the number of delayed repayments of
\n" ); document.write( "instalments of consumer loans in two of its branch banks (Branch −X and Branch −Y ).
\n" ); document.write( "The number of delayed payments of instalments in each branch bank follows normal
\n" ); document.write( "distribution. The manager feels that the number of delayed payments of instalments by
\n" ); document.write( "the consumers of the Branch −X is no way different from that of the Branch −Y . So, he
\n" ); document.write( "selected the loan accounts of 80 different consumers from the Branch −X and found that
\n" ); document.write( "the mean and variance of the number of delayed payments of instalments are 35 and 25,
\n" ); document.write( "respectively. Similarly, he selected the loan accounts of 100 different consumers from the Branch −Y and found that the mean and variance of the number of delayed payments of
\n" ); document.write( "instalments are 40 and 49, respectively. Test his intuition at a significance level of 0.01.
\n" ); document.write( "

Algebra.Com's Answer #848649 by ElectricPavlov(122)\"\" \"About 
You can put this solution on YOUR website!
**1. Set up Hypotheses**\r
\n" ); document.write( "\n" ); document.write( "* **Null Hypothesis (H0):** The mean number of delayed payments of installments is the same for both branches.
\n" ); document.write( " * μ₁ = μ₂
\n" ); document.write( "* **Alternative Hypothesis (H1):** The mean number of delayed payments of installments is different for the two branches.
\n" ); document.write( " * μ₁ ≠ μ₂\r
\n" ); document.write( "\n" ); document.write( "**2. Choose the Test Statistic**\r
\n" ); document.write( "\n" ); document.write( "* Since we are comparing the means of two independent samples with known (or assumed) population variances, we will use the **Z-test for the difference between two means**.\r
\n" ); document.write( "\n" ); document.write( "**3. Calculate the Test Statistic**\r
\n" ); document.write( "\n" ); document.write( "* **Given:**
\n" ); document.write( " * Sample 1 (Branch X): n₁ = 80, x̄₁ = 35, σ₁² = 25
\n" ); document.write( " * Sample 2 (Branch Y): n₂ = 100, x̄₂ = 40, σ₂² = 49
\n" ); document.write( "* **Calculate the pooled variance (not needed in this case since population variances are known):**
\n" ); document.write( " * Pooled variance (s_p²) = [(n₁ - 1)s₁² + (n₂ - 1)s₂²] / (n₁ + n₂ - 2)
\n" ); document.write( "* **Calculate the standard error of the difference between means:**
\n" ); document.write( " * SE = √[(σ₁²/n₁) + (σ₂²/n₂)]
\n" ); document.write( " * SE = √[(25/80) + (49/100)]
\n" ); document.write( " * SE = √(0.3125 + 0.49)
\n" ); document.write( " * SE = √0.8025
\n" ); document.write( " * SE ≈ 0.8958\r
\n" ); document.write( "\n" ); document.write( "* **Calculate the Z-score:**
\n" ); document.write( " * Z = (x̄₁ - x̄₂) / SE
\n" ); document.write( " * Z = (35 - 40) / 0.8958
\n" ); document.write( " * Z = -5 / 0.8958
\n" ); document.write( " * Z ≈ -5.58\r
\n" ); document.write( "\n" ); document.write( "**4. Determine Critical Values**\r
\n" ); document.write( "\n" ); document.write( "* **Significance Level:** α = 0.01
\n" ); document.write( "* **Two-tailed test:** We need to find the critical values for both tails of the standard normal distribution.
\n" ); document.write( "* **Using a standard normal distribution table or statistical software:**
\n" ); document.write( " * Critical values: Z_critical ≈ ±2.576\r
\n" ); document.write( "\n" ); document.write( "**5. Decision Rule**\r
\n" ); document.write( "\n" ); document.write( "* If the calculated Z-score (|Z|) is greater than the critical value (Z_critical), reject the null hypothesis.
\n" ); document.write( "* If the calculated Z-score (|Z|) is less than or equal to the critical value (Z_critical), fail to reject the null hypothesis.\r
\n" ); document.write( "\n" ); document.write( "**6. Make a Decision**\r
\n" ); document.write( "\n" ); document.write( "* Our calculated Z-score (|-5.58|) is greater than the critical value (2.576).\r
\n" ); document.write( "\n" ); document.write( "* **Conclusion:** We reject the null hypothesis.\r
\n" ); document.write( "\n" ); document.write( "**Interpretation**\r
\n" ); document.write( "\n" ); document.write( "The evidence suggests that the mean number of delayed payments of installments is significantly different between Branch X and Branch Y at the 0.01 significance level. \r
\n" ); document.write( "\n" ); document.write( "**Therefore, the manager's intuition that the number of delayed payments is the same for both branches is not supported by the data.**
\n" ); document.write( "
\n" ); document.write( "
\n" );