Question

When evaluating a statistical hypothesis test the _____ hypothesis is rejected when the p-value is lower than a predetermined alpha value.

f you want a high confidence (such as 99%) and want to reduce your margin of error (make it smaller) then it requires a __________ sample size.

he mean and standard deviation are determined from a sample of data but there is no attempt to make an inference from this sample. This would illustrate the use of

The measure of location or center that is not sensitive to extreme values (or outliers) is the _____.
The _____ measures variability, quantifying the spread with respect to the center of the data.

When confidence level is decreased (for example from 99% to 95%) the required sample size for estimating population mean will get _________.
______ data can be described as taking on an infinite number of values.
As sample size gets __________ we are more confident that our sample statistic is a more valid estimate of the population parameter.
For continuous data the total area under the normal curve must be equal to _______.
The _______ the p-value is, the stronger the evidence against the null hypothesis (also known as rejecting the Ho). Choose... descriptive statistics alternative zero (0) null continuous median larger one (1) smaller discrete mean normal standard deviation

Answer 1

When evaluating a statistical hypothesis test the Null hypothesis is rejected when the p-value is lower than a predetermined alpha value.

If you want a high confidence (such as 99%) and want to reduce your margin of error (make it smaller) then it requires a large sample size.

The mean and standard deviation are determined from a sample of data but there is no attempt to make an inference from this sample. This would illustrate the use of

The measure of location or center that is not sensitive to extreme values (or outliers) is the Median.

The Standard deviation measures variability, quantifying the spread with respect to the center of the data.

When confidence level is decreased (for example from 99% to 95%) the required sample size for estimating population mean will get decrease.

Continuous data can be described as taking on an infinite number of values.

As sample size gets increases we are more confident that our sample statistic is a more valid estimate of the population parameter.

For continuous data the total area under the normal curve must be equal to 1.

The smaller the p-value is, the stronger the evidence against the null hypothesis (also known as rejecting the Ho).