Test on Standard Normal Distribution Z-Table
Standard Normal Distribution Z-Table Explained for Students
Test: Standard Normal Distribution Table
20 questions
Question 1: The cumulative probability for a Z-value of 1.25 is 0.8900.
A. Ano
B. Ne
Explanation: According to the provided standard normal table for positive z values, locate the row for 1.2 and the column for 0.05. The value at this intersection is 0.8944. Therefore, the cumulative probability for Z = 1.25 is 0.8944, not 0.8900.
Question 2: Is the cumulative probability for a Z-value of -2.50 less than the cumulative probability for a Z-value of -1.50?
A. Ano
B. Ne
Explanation: According to the provided Standard Normal Table for negative z-values, the cumulative probability for Z = -2.50 is 0.0062, and the cumulative probability for Z = -1.50 is 0.0668. Since 0.0062 is less than 0.0668, the statement is correct.
Question 3: The cumulative probability for a z-value of 1.67 is 0.9525.
A. Ano
B. Ne
Explanation: According to the table for cumulative probabilities for positive z values, locate 1.6 in the 'Z' column and 0.07 in the top row. The corresponding cumulative probability is 0.9525.
Question 4: The cumulative probability for a Z-value of -1.98 is 0.0233.
A. Ano
B. Ne
Explanation: Looking at the standard normal table for negative z values, for Z = -1.9 (row) and 0.08 (column), the cumulative probability is 0.0239, not 0.0233.
Question 5: The cumulative probability for a Z-value of -2.50 is 0.0059.
A. Ano
B. Ne
Explanation: According to the Standard Normal Table for negative z values, the cumulative probability for a Z-value of -2.50 is found by looking at the row for -2.5 and the column for 0.00, which gives a value of 0.0062, not 0.0059.