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Lesson 3

Eva Bonning 9 questions

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Questions in this quiz (9)

  1. 1Which of the following is correct
    1. AStatistical methods means you can predict things with 100% accuracy
    2. BThere is never uncertainty associated with random variables
    3. CThere is always uncertainty associated with random variables
    4. DStatistical methods are an unreliable method for predicting population parameters
  2. 2A probability distribution is a [blank_start]mathematical[blank_end] [blank_start]function[blank_end] that tells you the probability that a [blank_start]random[blank_end] variable will take a [blank_start]particular[blank_end] [blank_start]value[blank_end] or [blank_start]range[blank_end] of values
    1. Amathematical
    2. Bfunction
    3. Crandom
    4. Dparticular
    5. Evalue
    6. Frange
  3. 3Variables - take a value based on a [blank_start]pre-determined[blank_end] mechanism
    eg. [blank_start]time[blank_end] or [blank_start]BMI[blank_end]
    Random Variables - take a value based on a [blank_start]random[blank_end] mechanism
    eg. [blank_start]height[blank_end] and [blank_start]weight[blank_end]
    1. Apre-determined
    2. Brandom
    3. Ctime
    4. DBMI
    5. Eheight
    6. Fweight
  4. 4What are two possible causes of uncertainty in a random sample
    1. ASampling from a population so you can't be sure the exact value your variable will take
    2. BA complex combination of uncontrollable factors
    3. CSampling from a specific population means you can be certain of the range of values your variable will take
    4. DIf you have a representative sample there will never be uncertainty
    5. EA specific sample means you will be uncertain of generalisations to the wider population
  5. 5Which of the following are an example of a variable determined by a set mechanism
    1. ATime
    2. BBMI
    3. CWeight
    4. DHeight
  6. 6Which of the following are an example of a random variable
    1. AHeight
    2. BWeight
    3. CBMI
    4. DTime
  7. 7Label the image Image for question 7
    1. AShows probability for each value
    2. BShows each value the variable can take
    3. Ceg. probability it will be sunny= 0.3
    4. Deg. probability it will be sunny= 0.4
    5. Eeg. probability it will be overcast =0.3
  8. 8Label the image Image for question 8
    1. AProbability Density for each value
    2. BDiscrete probability for each value
    3. CTotal area under the curve = 1
    4. DTotal area under the curve = 0
    5. ETotal area under the curve <1
    6. FTotal area under the curve >1
    7. GShows the values variables can take
    8. HP(Height<170cm)
    9. IP(Height>170cm)
    10. JP(Height=170cm)
  9. 9The [blank_start]expected value[blank_end] of a variable captures the central tendency, essentially is the same as the [blank_start]mean[blank_end]
    [blank_start]Variance[blank_end] is is standard deviation squared and captures variability from the mean
    [blank_start]Standard deviation[blank_end] is the average distance from the mean
    1. Aexpected value
    2. Bmean
    3. Cmedian
    4. Dmode
    5. EVariance
    6. FStandard deviation

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Description
Learning Technology Specialist Honours Psychology (MATHS581) Quiz on Lesson 3, created by Eva Bonning on 07/04/2021.
Language
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