If a z score of 1.95 is equal to a p of 0.9744, what proportion is greater than1.95.
The proportion greater than 1.95 is 0.0256.
Well, if a z-score of 1.95 is equal to a p-value of 0.9744, it means that 97.44% of the data falls below 1.95. So, if we want to find the proportion that is greater than 1.95, we can subtract 97.44% from 100%.
But let me just say, finding the proportion that is greater than 1.95 might be like trying to find a unicorn riding a unicycle...quite rare!
To find the proportion that is greater than a z-score of 1.95, we need to subtract the cumulative probability of 1.95 from 1.
Since the z-score of 1.95 corresponds to a cumulative probability (p-value) of 0.9744, we can subtract this value from 1:
Proportion = 1 - 0.9744
Proportion = 0.0256
Therefore, the proportion that is greater than a z-score of 1.95 is approximately 0.0256, or 2.56%.
To find the proportion that is greater than a given z-score, we can subtract the corresponding cumulative probability from 1.
To begin, we need to find the cumulative probability for a z-score of 1.95. A z-score represents the number of standard deviations a particular value is away from the mean in a normal distribution. We will use a standard normal distribution, which has a mean of 0 and a standard deviation of 1.
We can use a standard normal distribution table or a statistical software to find the cumulative probability. In this case, the cumulative probability for a z-score of 1.95 is given as 0.9744.
Next, we subtract this cumulative probability from 1 to find the proportion that is greater than 1.95:
1 - 0.9744 = 0.0256
Therefore, the proportion that is greater than a z-score of 1.95 is approximately 0.0256, or 2.56%.