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A bin of 50 parts contains five that are defective. A sample of two is selected at random, without replacement.
(a) Determine the probability that both parts in the sample are defective by computing a conditional probability.
(b) Determine the answer to part (a) by using the subset approach that was described in this section.
Critically discuss the reasons for studying statistics? Choose five random numbers between 70-100. Calculate the mean, and midrange of these numbers.
the following three questions i.e. questions 1-3 refer to the following informationthe random variable x representing
Question 1. (Descriptive Statistics; 1 + 1 + 2 + 2 + 2 = 8 marks) Investment Returns: These data are the annual returns of 80 dividend stocks for the years 2005 and 2010. (i) Produce a histogram of the 2005 returns with 7 classes.
What is the distribution for Cr - find the mean and variance for the number of customers arriving in the first r minutes.
a recent survey asked american adults how often they volunteered for charity. in the sample of 1974 people 51 said more
the hawks are currently winning 0.55 of their games. there are 5 games in the next two weeks. what is the probability
a california university is investigating expanding its evening programs. it wants to target people between 25 and 55
question a study wants to determine if taking fish oils can reduce depressive symptoms. a group of 50 volunteers who
In Excel or Word, create a frequency distribution and a graph depicting the data below. Then, write up an interpretation of the data - what does this data tell us
What is the probability of Picking a second red ball from the urn in Prob. 3.4 when a red ball was already obtained on the ?rst pick and not replaced?
A unit for a telecommmunication system is to be designed so that the probability that it fails during a period of five years does not exceed 0.4. the unit is to be made up of (n) effectively identical componants each with an exponential failure di..
Assume the probability that a telephone in any given telephone booth is defective is 0.2. Determine the probability that if 8 phone booths are examined, the number of defective phones is exactly 3.
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