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1A standard normal distribution has a mean of [blank_start]0[blank_end] and a standard deviation of [blank_start]1[blank_end]. It is also a [blank_start]continuous[blank_end] probablity distribution.
- A0
- B1
- Ccontinuous
2Formula for mean of a uniform distribution = [blank_start]a+b/2[blank_end]
- Aa+b/2
3uniform probability distribution = [blank_start]u(a,b)[blank_end]
- Au(a,b)
4A [blank_start]z-score[blank_end] represents the number of standard deviations a given value is above or below the mean. z = [blank_start]x-mean/standard deviation[blank_end]
- Az-score
- Bx-mean/standard deviation
5Characteristics of a normal distribution are - [blank_start]symmetric[blank_end], [blank_start]bell-shaped[blank_end], unimodal, and completely described by the [blank_start]mean and standard devation[blank_end].
- Asymmetric
- Bbell-shaped
- Cmean and standard devation
6A binomial distribution describes the probability of having exactly (k) [blank_start]successes[blank_end] in (n) [blank_start]independent trials[blank_end] with a [blank_start]probability of success[blank_end] (p).
- Aprobability of success
- Bindependent trials
- Csuccesses
7A [blank_start]bernoulli[blank_end] trial is a random experiment with exactly 2 outcomes. One is labeled a success and the other failure, and the probability of success is the same everytime the experiment is conducted.
- Abernoulli
8Properties of binomial distribution: [blank_start]independence[blank_end], number of trials is [blank_start]fixed[blank_end], each trial is classified as a [blank_start]success or failure[blank_end], the probability of success is [blank_start]equal[blank_end] for each trial.
- Aindependence
- Bfixed
- Csuccess or failure
- Dequal
95% rule - if n is [blank_start]less[blank_end] than 5%, then [blank_start]independence[blank_end] can be assumed.
- Aindependence
- Bless
10Normal approx. to the Binomial Distribution requirements -
[blank_start]np[blank_end] > or = [blank_start]10[blank_end]
[blank_start]nq[blank_end] > or = [blank_start]10[blank_end]- A10
- Bnp
- Cnq
- D10
11Normal Approx. to Binomial Distribution Formula -
[blank_start]P(k - 0.5 < x < k + 0.5)[blank_end]- AP(k - 0.5 < x < k + 0.5)
12A [blank_start]Poisson[blank_end] Distribution represents the number of outcomes of an event in an interval.
- APoisson
13When is a Poisson Distribution used? When there are a [blank_start]fixed number[blank_end] of events, a [blank_start]large population[blank_end] generating the events, and the events occur [blank_start]independently.[blank_end]
- Afixed number
- Blarge population
- Cindependently.
14What is e equal to? [blank_start]2.718[blank_end]
- A2.718
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- Mathematics Quiz on stats, created by Cristal Yttesen on 22/03/2019.
- Author
- Cristal Yttesen
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- English
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