Preview

Continuous Random Variable

Satisfactory Essays
Open Document
Open Document
694 Words
Grammar
Grammar
Plagiarism
Plagiarism
Writing
Writing
Score
Score
Continuous Random Variable
Dynise Adams
STA
Individual Work unit-8

Section 6.1
8. a) The time it takes for a light bulb to burn out is a continuous random variable because the time is being measured. All possible results for the variable time (t) would be greater than > 0. b) The weight of a T-bone steak is a continuous random variable because the weight of the steak is measured. All the possible results for the weight of the T-bone steak would be positive numbers making the variable weight (w) > greater than 0.

c) The number of free throw attempts before the first shot is made is a discrete random variable because every shot is attempt can be counted. Let (x) represent shot attempts, all the possible results of the value x would be x = 0, 1, 2, 3, 4

d) In a random sample of 20 people the number with type A blood is a discrete random variable because the people with type A blood are being counted. Let (x) represent people with Type A blood, all possible results of the value x would be x = 0, 1, 2

12. les; because Px=1 and 0≤Px ≤1 for all x.

16. No, because P x=1.25 ≠1.

20. a) This is a discrete probability distribution because the sum of the probabilities is 1 and the probabilities are between 0 and 1.

c) mx = x ∙Px=0 0.073+10.117+20.258+30.322+40.230=2.519=2.5. Or average the number of activities that at least one parent 6th – 8th grader is involved in is expected to be about 2.5.

d)

e)

Section 6.2

10. This is not a binomial experiment because there is no probability of success recorded.

30.

36. ?
Section 7.1

26. The center is at 5, m = 5. The distance to the inflection points is 2, 0 = 2.

30.
a)

9 11.5 14 16.5 19

b)

9 11.5 14 16.5 19

c) Interception 1: The probability is o.1151

You May Also Find These Documents Helpful

  • Satisfactory Essays

    Smbober 31557

    • 2560 Words
    • 13 Pages

    3) Jenny is conducting a hypothesis test concerning a population mean. The hypotheses are as follows.…

    • 2560 Words
    • 13 Pages
    Satisfactory Essays
  • Good Essays

    This archive file of BUS 308 Week 2 Quiz shows the solutions to the following problems: 1. Question : In a statistical study, the random variable X = 1, if the house is colonial, and X = 0 if the house is not colonial, then it can be stated that the random variable is continuous.…

    • 420 Words
    • 2 Pages
    Good Essays
  • Good Essays

    Statistics - Lab #6

    • 823 Words
    • 4 Pages

    1.) When rolling a die, is this an example of a discrete or continuous random variable? Explain…

    • 823 Words
    • 4 Pages
    Good Essays
  • Powerful Essays

    Mat 540 Week 4

    • 4465 Words
    • 18 Pages

    15. If A and B are mutually exclusive events and S is the sample space such that P (A) = 1 P (B) and 3 S = A , B , then P (A) = (A) 1 4 (B) 1 2 (C) 3 4 (D) 3 8…

    • 4465 Words
    • 18 Pages
    Powerful Essays
  • Satisfactory Essays

    questions state each time which random variable you use and what distribution assumption you make.…

    • 1289 Words
    • 6 Pages
    Satisfactory Essays
  • Better Essays

    Quiz for 5wk Statistics

    • 942 Words
    • 4 Pages

    Use the binomial probability distribution to answer the following probability questions. According to government data, the probability that an adult under 35 was never married is 25%. In a random survey of 10 adults under 35, what is the probability that:…

    • 942 Words
    • 4 Pages
    Better Essays
  • Satisfactory Essays

    Math 540 Midterm

    • 2038 Words
    • 9 Pages

    | A continuous random variable may assume only integer values within a given interval. Answer…

    • 2038 Words
    • 9 Pages
    Satisfactory Essays
  • Good Essays

    Math 107 Quiz

    • 577 Words
    • 3 Pages

    a) Use the histogram to find the probability that a person selected at random from the survey’s sample had a test score of more than two.…

    • 577 Words
    • 3 Pages
    Good Essays
  • Satisfactory Essays

    Final Exam Study Guide

    • 812 Words
    • 4 Pages

    b. The probability of a success changes from trial to trial in the hypergeometric distribution.…

    • 812 Words
    • 4 Pages
    Satisfactory Essays
  • Good Essays

    Assignment12 1

    • 596 Words
    • 4 Pages

    1. You roll a pair of standard dice. Create the sample space for a single roll of the dice and use the sample space to compute the following probabilities. (8 points)…

    • 596 Words
    • 4 Pages
    Good Essays
  • Good Essays

    welle

    • 1254 Words
    • 6 Pages

    8) Which of the following is the best statement of the use of the addition rule of probability?…

    • 1254 Words
    • 6 Pages
    Good Essays
  • Good Essays

    Probability refers to the study of randomness and uncertainty. The word “probability” as used in “probability of an event” is a numerical measure of the chance for the occurrence of an event. Experiment: a repeatable procedure with a well-defined set of possible outcomes. (Devore: Any action or process whose outcome is subject to uncertainty.) Sample Space and Events Sample space of an experiment is the set of all possible outcomes. An event is a set of outcomes (it is a subset of the sample space). Example: Consider an experiment of rolling a 6-sided die.…

    • 5123 Words
    • 21 Pages
    Good Essays
  • Powerful Essays

    Which means, a probability value should be more than 0 and less than 1, and the sum of the probabilities over all values x in the sample space is equal to 1.…

    • 1678 Words
    • 7 Pages
    Powerful Essays
  • Satisfactory Essays

    1. The mean and standard deviation of a binomial distribution with n = 25 and p = 0.8 are…

    • 867 Words
    • 4 Pages
    Satisfactory Essays
  • Satisfactory Essays

    The dice experiment is a discrete random probability because it yielded 6 possible outcomes which are 1, 2, 3, 4, 5, and 6. The number that the die landed on after each roll is “x” or the random variable. The discrete random probability is a countable number because the dice only has 6 sides. The experiment produced three 1’s, four 2’s, five 3’s, two 4’s, four 5’s and two 6’s. The experiment is a probability distribution because all six sides had the same “chance” to land on its side under the “set” conditions of 20 rolls. This is not a binomial probability because it has more than two possible outcomes. The outcome of the die has 6 possibilities or a 1 out of 6 chance to land on its side which would disqualify it as binomial. A binomial probability only deals with successes or failures. This type of experiment either does something or it doesn’t, there is no in between.…

    • 351 Words
    • 2 Pages
    Satisfactory Essays