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Lesson 6

Eva Bonning 7 preguntas

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Preguntas del test (7)

  1. 1A hypothesis test gives [blank_start]significant[blank_end] evidence to claim that an [blank_start]unknown[blank_end] [blank_start]parameter[blank_end] (such as mean or median) actually takes a [blank_start]specific[blank_end] [blank_start]value[blank_end] based on the [blank_start]sample[blank_end] [blank_start]statistics[blank_end]
    1. Asignificant
    2. Bunknown
    3. Cparameter
    4. Dspecific
    5. Esample
    6. Fstatistics
    7. Gvalue
  2. 2Type I error is when you [blank_start]reject[blank_end] the [blank_start]null[blank_end] hypothesis but it is actually [blank_start]true[blank_end], otherwise known as a false [blank_start]positive[blank_end]. Type II error is when you [blank_start]accept[blank_end] the [blank_start]null[blank_end] hypothesis but it is actually [blank_start]false[blank_end], otherwise known as a false [blank_start]negative[blank_end].
    1. Areject
    2. Bnull
    3. Ctrue
    4. Dpositive
    5. Eaccept
    6. Fnull
    7. Gfalse
    8. Hnegative
  3. 3Which of the following is true if p<.05
    1. AYou reject the null hypothesis and accept the alternative hypothesis
    2. BYou fail to reject the null hypothesis
    3. CYou fail to reject the alternative hypothesis
    4. DYou reject the alternative hypothesis and accept the null hypothesis
  4. 4Which of the following is true if p>.05
    1. AYou accept the null hypothesis
    2. BYou fail to reject the null hypothesis
    3. CYou fail to accept the alternative hypothesis
    4. DYou accept the alternative hypothesis
  5. 5Which of following is the correct definition of a p-value
    1. AThe probability of finding your result, or one more extreme, if the null hypothesis were true
    2. BThe probability of correctly rejecting the null hypothesis
    3. CThe probability of finding your result, or one more extreme, if the alternative hypothesis were true
    4. DThe probability of incorrectly accepting the alternative hypothesis
  6. 6Which of the following is the correct definition of statistical power
    1. AThe probability of correctly rejecting the null hypothesis
    2. BThe probability of correctly accepting the null hypothesis
    3. CThe probability of incorrectly rejecting the null hypothesis
    4. DThe probability of incorrectly accepting the alternative hypothesis
  7. 7Which of the following are ways to increase statistical power
    1. AIncreasing the standard deviation
    2. BDecreasing the sample size
    3. CIncreasing the sample size
    4. DDecreasing the standard deviation
    5. EHaving a larger difference between the alternative and null hypothesis
    6. FHaving a smaller difference between the alternative and null hypothesis

Información

Descripción
Learning Technology Specialist (MATHS581) Honours Psychology Test sobre Lesson 6, creado por Eva Bonning el 08/04/2021.
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