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Lecture Comments (9)

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Post by Andrew Latty on March 6, 2014

ignore the (d) found at the end at part (c) and also ignore (e) found at part (d) the (e) is meant to be for next question. Ill continue working on this problem. Thanks hopefully some one sees this.

0 answers

Post by Andrew Latty on March 6, 2014

Is there any one who can help me i have an Exam next week and I'm really stuck on this problem

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Post by Andrew Latty on March 4, 2014

ignore the (c) at the end of part b

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Post by Andrew Latty on March 4, 2014

I have a problem in which i have no idea how to solve b through D

Math 251
1. A population consists of these values: 2, 3, 6, 8, 11, 18. We do a sampling
without replacement.

the mean and the population standard deviation.


List all samples of size N = 2
that can be obtained without replacement. (c)

Find the population of all values of
x bar
by finding the mean of each sample from  part (b). (d)
Find the mean

and standard deviation

for the population of sample means found in part (c). (e)

Verify that xbar = mue and s= sigma/thesquare root of N|N-n
                                                       N-1 square root.

Please help i figured out part A the mean and population standard deviation but i'm so confused for B

0 answers

Post by Andrew Latty on March 4, 2014

What about in the case of at Least 2? does it mean everything above 2 and not below? Please give an example.

0 answers

Post by Kristin White on October 6, 2010

why do you write 5C0 as (5/0)?

2 answers

Last reply by: Anil George
Sun Aug 12, 2012 12:24 PM

Post by Robert Young on August 31, 2010

The exponect on .05 should be 0 not 1

Binomial Probability Distribution

  • The binomial experiment has n identical trials, each with only two possible outcomes: “success” or “failure.”

  • The probabilities of the two outcomes remain constant for every trial.

  • The trials are independent.

Binomial Probability Distribution

Lecture Slides are screen-captured images of important points in the lecture. Students can download and print out these lecture slide images to do practice problems as well as take notes while watching the lecture.

  • Intro 0:00
  • Binomial Experiment 0:07
    • Discrete Random Variable
    • Trial
    • Bernoulli Trials
  • Example: Roll Die 2:37
  • Binomial Probability Distribution 4:36
  • Example: Winter Holiday Stress 6:58
  • Example: MRI 9:51
  • Probability of Success and Shape 12:42
    • Symmetric
    • Skewed Right
    • Skewed Left
  • Mean/Standard Deviation of Binomial Distribution 15:03
    • Example: Stress
    • Example: MRI
  • Extra Example 1
  • Extra Example 2