Answer:
Step-by-step explanation:
Answer:
Need more information
Step-by-step explanation:
Answer:
An arrow diagram
Step-by-step explanation:
Helps keep track of intricate relationships between variables. Specifies the phenomena of interest: independent, alternative, antecedent and intervening.
-Time on the bottom with an arrow
-Antecedent -> Independent -> intervening-> dependent
An arrow diagram is defined as a process diagramming tool used to determine optimal sequence of events, and their inter-connectivity. It is a network diagramming technique in which activities are represented by arrow, used for scheduling and to determine the critical path through nodes. The arrow diagramming method shows the required order of tasks in a project or process, the best schedule for the entire project, and potential scheduling and resource problems and their solutions. The arrow diagram lets you calculate the "critical path" of the project the flow of critical steps where delays can affect the timing of the entire project and where addition of resources can speed up the project.
One headed arrow connecting two variables= "X directly causes Y"
Answer:
The sampling distribution of the sample mean of size 30 will be approximately normal with mean 15 and standard deviation 2.19.
Step-by-step explanation:
The Central Limit Theorem estabilishes that, for a normally distributed random variable X, with mean 
and standard deviation 
, the sampling distribution of the sample means with size n can be approximated to a normal distribution with mean and standard deviation 
.
For a skewed variable, the Central Limit Theorem can also be applied, as long as n is at least 30.
For the population, we have that:
Mean = 15
Standard deviaiton = 12
Sample of 30
By the Central Limit Theorem
Mean 15
Standard deviation 
Approximately normal
The sampling distribution of the sample mean of size 30 will be approximately normal with mean 15 and standard deviation 2.19.
