Engineering
Engineering, 19.12.2019 23:31, hi105

Explain how collecting mean values (x-bar) from samples drawn from a dataset, regardless of the statistical distribution of the dataset, results in a distribution of those values that is centered on the mean value of the original dataset and is approximately normally distributed depending upon the sample size used. include the name the theorem that describes this phenomenon, and discuss what it means to treat the x-bar data points derived from sampling as a new random variable. why is this important in engineering?

answer
Answers: 1

Other questions on the subject: Engineering

image
Engineering, 04.07.2019 18:10, danksans7011
The mass flow rate of the fluid remains constant in all steady flow process. a)- true b)- false
Answers: 1
image
Engineering, 04.07.2019 18:10, jadeochoa4466
The temperature of air decreases as it is compressed by an adiabatic compressor. a)- true b)- false
Answers: 2
image
Engineering, 04.07.2019 18:10, 19deleonl
Coiled springs ought to be very strong and stiff. si3n4 is a strong, stiff material. would you select this material for a spring? explain.
Answers: 2
image
Engineering, 04.07.2019 18:10, winterblanco
The higher the astm grain-size number, the coarser the grain is. a)-true b)-false
Answers: 3
Do you know the correct answer?
Explain how collecting mean values (x-bar) from samples drawn from a dataset, regardless of the stat...

Questions in other subjects:

Konu
Mathematics, 25.02.2020 20:57