You are not logged in.
Hi this is Bobs again I was wondering if you could check statistics for me! I have asked so many questions thanks for your help! it is jsut that stats is a difficult subject for me!
Data was collected outside a popular new restaurant to determine the mean waiting time to be seated at a table. Assume the data was normally distributed with a mean of 45 min and standard deviation of 12 min
determine the probability that a randomly selected person has to wait less than 20 min
So for this questionI would use:
normalcdf(0,20,45,12)
= 0.0185219157
on to part B
determine the probability that a randomly selected person has to wait more than 1 h?
they have to wait more than an hour
so I cant use the normalCDF thing
thanks once again!
Offline
Try doing 100% minus normalcdf(0,60,45,12), maybe??
Because if normalcdf is say 55% then 100% - 55% is 45%.
Because the greater and the less of one hour have to add up to 100% of the
probability I think. Just a guess. I don't do statistics, not for decades.
igloo myrtilles fourmis
Offline
We've just been doing this at school, and we always use a table of Z values to calculate this type of problem. Have you done anything with those? If you want me to go through it with that method i can do.
Student: "What's a corollary?"
Lecturer: "What's a corollary? It's like when a theorem has a child. And names it corollary."
Offline
Yes can you please that would be great! I dont really get the Z score!
Offline
wait! I will give it a try! maybe can you tell me if I did it right?
so:
z= x- mean/ standard deviation
z= (1) - ( 45) / 12
z= -2.75 --> rounded 2.80
so:
corresponding probablitlity is : 0.026
is this right? I hope so! thanks!
Offline
Nah, you've got the right formula but you've used it wrongly (and put in the the wrong value for X). It's tough to really explain what the Z values represent without using diagrams, so I suggest you ask your teacher or whoever to go over it cos you're fumbling in the dark a bit at the moment (no offence).
Basically this is how you do the first question:
P(X < 20) = P(Z < (20-45)/12) using the formula you quoted
= P(Z < -2.08)
= 1 - P(Z < 2.08) using the fact the the normal distribution is symmetrical
= 1 - 0.9812 look up Z=2.08 in your table and find the corresponding value of theta(Z)
= 0.0188
and that's your answer
Last edited by yonski (2007-06-07 08:37:56)
Student: "What's a corollary?"
Lecturer: "What's a corollary? It's like when a theorem has a child. And names it corollary."
Offline
okay can you check:
x--> 1h--> 60 min
mean=45
sd= 12
P(X > 60) = P(Z > (60-45)/12)
= P(Z > 1.25)
= 1 - P(Z < 2.08)
Z=1.25 --> 0.90332
but since> you dont need to minus one right?
is this correct? please and thank you! I hope I did it right! dont worry I am going to ask someone
Offline
No, think about the answer you're giving. How could the probability of them waiting more than 1 hour be 0.90332? This would mean that over 90% of people wait longer than an hour, but you've been told that the mean is 45 minutes!!!
You need to go:
(X > 60) = P(Z > (60-45)/12)
= P(Z > 1.25) you were right up to this point
= 1 - P(Z < 1.25)
= 1 - 0.8944
= 0.1056
Always check that the answer is sensible lol.
Student: "What's a corollary?"
Lecturer: "What's a corollary? It's like when a theorem has a child. And names it corollary."
Offline
haha! this is too funny bob's needs help in this and me smileybob need help 2! lol to funny anyways I was wondering if someone could check my work thanks so the question is like so:
The time it takes for a pendulum to complete the one period is simplified by the formula: T=2 pi square root (L/g) Where g is the constant measuring 9.80655m/s^2 and L is the length of the pendulum. The length of the pendulums from a manufacture are normally distributed with a mean of 10cm and a standard deviation of 0.01 cm. Assuming the at a 10cm pendulum gives the correct time, what is the probability that a clock using one of theses pendulums will lose more than 1 minute a day?
so my work so far:
Standard deviation: 0.01cm
Mean= 10cm
T= 2pi [sqrt] L/g
Time increases by: 1/ 24x 60
P(x> 10.014)
= p (z> (10.014-10 / 0.01)
= P (Z > 1.4)
Z= 0.919243
But I noticed that you took away 1 from the z right?
Do you think that is necessary here? My next question is this correct?
Best regards
Smiley bob
Thank you!
__________________________________________________
My brain is my second favourite organ! what is you first?
Offline
hi yonski can you please check my work? thank you
Best regards
Smiley bob
Thank you!
__________________________________________________
My brain is my second favourite organ! what is you first?
Offline
Z Is A Standard Normal Random Variable
How Do You Do This One
P(z>-2.08)
Offline