Statistics Year 1 Flashcards

Working with Data Probability Statistical Hypothesis Testing

1
Q

What are mutually exclusive events?

A

Possible outcomes that cannot occur at the same time

P(A) + P(B)

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2
Q

What are independent events?

A

The first event occuring doesn’t affect the second event occuring
P(A) x P(B)

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3
Q

What is the notation for binomial distrobution?

A

X ~ B( n, p )
n = trial numbers
p = probability of success
x = number of times of succes

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4
Q

What are the conditions for binomial probability?

A

Independent events
Only two possible outcomes
Fixed probability

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5
Q

What is the formula for binomial distrobution?

A

In formula book

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6
Q
How do you calculate the following probabilities?
P(x > k)
P(x < k)
P(x ≥ k)
P(a ≤ x ≤ b)
A

P(x > k) = 1 - P(x ≤ k)
P(x < k) = P(x ≤ k-1)
P(x ≥ k) = 1- P(x ≤ k-1)
P(a ≤ x ≤ b) = P(x ≤ b-1) - P(x ≤ a)

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7
Q

What happend for x = 6 if you put this into you calculator?
Binomial PD
Binomial CD

A

Binomial PD P( x = 6)

Binomial CD P(x ≤ 6)

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8
Q

How do you set up a hypothesis test?

A

let p = probability of yellow car

H0: null hypothesis p = 0.4
H1: alternative hypothesis p < 0.4
significance level 5%

assume H0 let X = number who have yellow car
X ~ B(12, 0.4)
P(x ≤ 3) = 0.225

0.225 > 5%
p-value > sig value

Keep H0 as the evidence os not strong enought to reject H0 at the 5% significance level

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9
Q

How do you conduct a two tail test?

A

When H1: p ≠ 7

Divide significance level by two and test for that

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10
Q

What are critical regions?

A

Set of values which lead to rejecting H0 in favour of H1

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11
Q

What must a probability distrobution add up to?

A

1

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12
Q

What is a population?

A

Set of all the individuals in a hypothesis test

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13
Q

How do you calculate the variance and standard deviation?

A
Variance (σ²) - in formula book 
Standard deviation (σ) - square root variance
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14
Q

What is simple random sampling?

A

Every possible sample of size n is likley to be picked
Population choose n possibilities
e.g. 19 in population sample size 5 11628 possible samples

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15
Q

What is oppurtunity sampling?

A

Based on convenience

e.g. six closest to me

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16
Q

What is systematic sampling?

A

Taken at regular intervals from a list

17
Q

What is stratified sampling?

A

Split population into groups based off of factors of interest
Randomly sample from each group

18
Q

What is quota sampling?

A

Split population into groups based off of factors of interest
Oppurtunitysample from each group

19
Q

What is cluster sampling?

A

Split population into groups based on convenience

Randomly sample from each group

20
Q

What is the conclusion if p-value < sig value?

A

Reject H0, accept H1 there is enough evidence to suggest that probability of yellow cars is greater than 0.4