All S2 Flashcards

(39 cards)

1
Q

What are the conditions for using a binomial distribution?

A
  • A fixed number of trials, n.
  • Each trial should be success or failure.
  • The trials are independent
  • The probability of success, p, at each trial is constant.
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2
Q

What is the definition of a population?

A

A population is a collection of individual items.

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3
Q

What is a sample?

A

A sample is a selection of individual members or items from a population.

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4
Q

What is a finite population?

A

A finite population is one in which each individual members can be given a number.

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5
Q

What is an infinite population?

A

An infinite population os one in which it is impossible to number each member.

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6
Q

What is a sampling unit?

A

A sampling unit is an individual member of a population.

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7
Q

What is a sampling frame?

A

A sampling frame is a list of sampling units used in practice to represent a population.

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8
Q

What is a statistic?

A

A statistic is a quantity calculated solely from the observations in a sample.
A random variable; function of known observations (from a population)
A random variable) that is a function of the sample which contains no unknown quantities/parameters.

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9
Q

What is the sampling distribution of a statistic?

A

A statistic has a sampling distribution that is defined by giving all possible values of the statistic and the probability of each occurring.

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10
Q

What is a census?

A

If information is to be obtained from all members of the population, the investigation is known as a census.

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11
Q

What are the advantages of taking a census?

A
  • Every single member of the population is used
  • It is unbiased
  • It gives an accurate answer
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12
Q

What are the disadvantages of taking a census?

A
  • It takes a long time to do
  • It is costly
  • It is often difficult to ensure that the whole population is surveyed
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13
Q

What are the advantages of sampling?

A
  • Sampling is generally cheaper than taking a census
  • Sampling is advantageous where the testing of items results in their destruction.
  • Data is generally more readily available.
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14
Q

What are the disadvantages of sampling?

A
  • Uncertainty about sampling in that there will be natural variation between any two samples.
  • Bias can more easily occur, e.g. sample from an incomplete sampling frame.
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15
Q

What is a test statistic?

A

A test statistic is the summary of the evidence that comes from a sample in a hypothesis test.

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16
Q

What is a null hypothesis?

A

The null hypothesis, denoted by Ho, is the hypothesis that we assume to be correct unless proved otherwise.

17
Q

What is the alternative hypothesis?

A

The alternative hypothesis, denoted by H1, tells us about the value of the population parameter if our assumption is shown to be wrong.

18
Q

What is a critical region?

A

The critical region is the range of values of a test statistic that would lead you to reject H0

19
Q

What is a critical value?

A

The boundary value(s) of a critical region is (are) called the critical value(s).

20
Q

What is a one-tailed test?

A

A one-tailed test looks either for an increase or for a decrease in a parameter, and has a single critical value.

21
Q

What is a two-tailed test?

A

A two-tailed test looks for both an increase and a decrease in a parameter, and has two critical values.

22
Q

What is the actual significance level of a test?

A

The probability of rejecting H0.

23
Q

What are the conditions for using a poisson distribution?

A
  • Event occurs singly in time

- Events are independent or occur randomly - Event occurs at a constant rate

24
Q

Approximate X-Po($) to Normal distribution.

A

Y - N ( $ , ( sqr ($) ) ^2 )

25
Approximate X-B(n,p) to Normal distribution.
Y - N ( np , sqr ( np x (1-p) )
26
Approximate X-B(n,p) to Poisson distribution.
Y - Po ( np )
27
How do you find the median of a continuous random variable?
F(m) = 0.5
28
How do you find the mode of a continuous random variable?
The mode is the x value at the highest point of the function..
29
Continuity correction. | P(X=n)
P ( n-0.5 < X < n+0.5 )
30
Continuity correction. | P(X<=n)
P ( X < n+0.5 )
31
Continuity correction. | P(X>n)
P ( X > n+0.5 )
32
Continuity correction. | P(X
P ( X < n-0.5 )
33
Continuity correction. | P(X>=n)
P ( X > n-0.5 )
34
What is a hypothesis test?
A hypothesis test is a mathematical procedure to examine a value of a population parameter proposed by the null hypothesis compared with an alternative hypothesis.
35
Positive skew?
mode < median < mean
36
Negative skew?
mode > median > mean
37
What are the conditions for approximating binomial to normal?
- n is large | - p is close to 0.5
38
What are the conditions for approximating poisson to normal?
Lamda is large
39
What are the conditions for approximating binomial to poisson?
- n is large | - p is small (approx<0.2)