Question

Respond True or False to each of these statements.

1. The total area under the normal distribution is equal to 1.
2. As the sample size increases, the distribution of the sample statistics becomes more consistent.
3. Sampling variability refer to a variability of parameters.
4. A sampling distribution describes a distribution of sample statistics.
5. All variables that are approximately normally distributed can be transformed to standard z-scores.
6. The z-value corresponding to a datum below the mean is always negative.
7. The area under the standard normal curve to the left of z= 0 is negative.
8. The central limit theorem applies to multiple samples selected from the same population.
9. When the distribution of a variable is skewed to the left (or the right), the empirical rule does not apply.

Answer 1

Answer:

under the normal distribution c) The total area is equal to 1 answers Trete b) True because the sample size increases, the Standard dellation of the of the sampling dismibution becomes smaller. Hence the sample. Statistics becomes more consistant o true. The sampling variability also referred as Variance of data - sampling variabiling also defined the difference between the the measured value f the parameter hence variability refers to a of parameters. the sampling variability d) false

AS PER THE CHEGG RULE I CAN ANSWERED FIRST 4 SUB PARTS

NOTE:: I HOPE YOUR HAPPY WITH MY ANSWER....***PLEASE SUPPORT ME WITH YOUR RATING...

***PLEASE GIVE ME "LIKE"...ITS VERY IMPORTANT FOR ME NOW....PLEASE SUPPORT ME ....THANK YOU