OBJECTIVE FORESTRY

FORESTRY

AGRICULTURAL STATISTICS AND ECONOMICS

Question [CLICK ON ANY CHOICE TO KNOW THE RIGHT ANSWER]
One reason for using a t distribution instead of the standard Normal curve to find critical values when calculating a level C confidence interval for a population mean is that
A
z can be used only for large samples
B
z requires that you know the population standard deviation
C
z requires that you can regard your data as an SRS from the population
D
z requires that the sample size is at most 10% of the population size
E
a z critical value will lead to a wider interval than a t critical value
Explanation: 

Detailed explanation-1: -Question: One reason for a t distribution instead of the normal curve to find critical values when calculating a level C confidence interval for a population mean is that the standard normal table doesn’t include confidence levels at the bottom. a z critical value will lead to a wider interval than a t critical value.

Detailed explanation-2: -When we use “t” instead of “Z” in the equation for the confidence interval, it will result in a larger margin of error and a wider confidence interval reflecting the smaller sample size.

Detailed explanation-3: -When we know the population standard deviation , we use a standard normal distribution to calculate the error bound EBM and construct the confidence interval. We need to find the value of z that puts an area equal to the confidence level (in decimal form) in the middle of the standard normal distribution Z   N(0, 1).

Detailed explanation-4: -The t-distribution is used as an alternative to the normal distribution when sample sizes are small in order to estimate confidence or determine critical values that an observation is a given distance from the mean.

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