Edexcel A Level Maths - Year 2 Statistics

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19 Terms

1
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what is the logarithmic equation/derivation for y = axn ? (polynomial)

log y = log a + n log x

2
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what is the logarithmic equation/derivation for y = anx ? (exponential)

log y = log a + x log n

3
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what is the product moment correlation coefficient r ?

  • measurement of relationship between two variables - takes value between - 1 and 1

  • 1 - perfect positive linear correlation

  • -1 - perfect negative linear correlation

  • 0 - no linear correlation


4
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what probability rules occur for independent events?

  • P (A|B) = P(A|B’) = P(A)

  • P(B|A) = P(B|A’) = P(B)


5
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what does P (A U B) = ?

P(A) + P(B) - P( A n B)


6
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P(B n A) =

P(B|A) x P(A)

7
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what does the area under a normal distribution curve equal?

1

8
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what are some characteristics of a normal distribution?

  • has parameteres u and o², mean and variance

  • is symmetrical so mean = median = mode

  • bell shaped curve with asymptotes at each end

  • has points of inflection at u + o and u - o


9
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what percentage of data lies within 1 sd of the mean in a normal distribution?

68%

10
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what percentage of data lies within 2 sd of the mean in a normal distribution?

95%

11
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what percentage of data lies within 3 sd of the mean in a normal distribution?

99.7%

12
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13
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14
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15
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what is the standard normal distribution?

Z ~ N(0,1²)

16
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how would you convert (code) a normal distribution to the standard normal distribution?

Z = (X- u)/o

17
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what are the conditions for a normal approximation to the binomial distribution?

  • n is large

  • p is close to 0.5


18
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how would you approximate the binomial distribution with the normal?

  • u = np

  • o = rt (np(1-p))

  • apply a continuity correction (X~B, Y~N)

    • if X>5 → Y>5.5

    • if X>= 5 → Y>4.5

    • if X = 5, 4.5 < Y < 5.5

    • if X < 5, Y < 4.5

    • if X <= 5, Y < 5.5


19
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if a sample of size n is taken from a normally distributed random variable, what is the sample mean distribution?

  • X bar ~ N(u, o²/n)

  • can be coded to normal where Z = (X bar - u)/ (o²/n)