3 Flashcards

1
Q

Does the mean follow the rule of linearity?

A

Yes

How well did you know this?
1
Not at all
2
3
4
5
Perfectly
2
Q

Although variance does follow the rules of linearity, what else do you need to do (except summing variances)?

A

Adding a square

How well did you know this?
1
Not at all
2
3
4
5
Perfectly
3
Q

If we can take multiple samples of a population, what is the better thing to do?

A

Take one large sample

How well did you know this?
1
Not at all
2
3
4
5
Perfectly
4
Q

If you take multiple samples, you can create a histogram of?

A

Means for each sample.

How well did you know this?
1
Not at all
2
3
4
5
Perfectly
5
Q

How can a histogram of means for each sample useful?

A

You can compare the mean and variance for the histogram of means and compare it to the actual mean and variance of the population.

How well did you know this?
1
Not at all
2
3
4
5
Perfectly
6
Q

If you have larger sample sizes, then the means are?

A

Closer together and less spread out.

How well did you know this?
1
Not at all
2
3
4
5
Perfectly
7
Q

Standard error?

A

Estimate of standard deviation of its sampling distribution. Most useful for a histogram of means for many samples.

How well did you know this?
1
Not at all
2
3
4
5
Perfectly
8
Q

Confidence interval?

A

Provides a plausible range for a parameter (believable or reasonable). All values for the parameter lying within the interval are plausible, given the data, whereas those outside are unlikely.

How well did you know this?
1
Not at all
2
3
4
5
Perfectly
9
Q

!!!!!What does it mean to have a 95% confidence interval for the mean?

A

The means of many samples have a 95% chance of falling within the confidence interval.

How well did you know this?
1
Not at all
2
3
4
5
Perfectly
10
Q

Pseudoreplication?

A

Error that occurs when individuals measurements are not independent, but they are treated as though they are.

How well did you know this?
1
Not at all
2
3
4
5
Perfectly
11
Q

Mutually exclusive?

A

Two events that cannot both be true

How well did you know this?
1
Not at all
2
3
4
5
Perfectly
12
Q

How to write mutually exclusive probability?

A

Pr(A and B) = 0

How well did you know this?
1
Not at all
2
3
4
5
Perfectly
13
Q

Probability distribution?

A

The true relative frequency of all possible values of a random variable.

How well did you know this?
1
Not at all
2
3
4
5
Perfectly
14
Q

Addition principle for two mutually exclusive events: Pr[A or B] = ?

A

Pr[A] + Pr[B]

How well did you know this?
1
Not at all
2
3
4
5
Perfectly
15
Q

General addition principle probability of intersecting sets when events are or are not mutually exclusive: Pr[A or B]?

A

Pr[A] + Pr[B] - Pr[A and B]

How well did you know this?
1
Not at all
2
3
4
5
Perfectly
16
Q

Independence?

A

Two events are independent if the occurrence of one gives no information about whether the second will occur.

17
Q

Multiplication rule if two events are independent, then: Pr[A and B] = ?

A

Pr[A]*Pr[B]

18
Q

!!!!!Mutually exclusive vs independent?

A
19
Q

General formula for “at least one” out of n independent trails, where prob in each trial is Pr(A): Pr(at least one A) = ?

A

1 - (1 - Pr(A))^n

20
Q

Overall probability of a dependent event?

A

Dissecting the dependent events into its independent events, and add them up depending on the original problem.

21
Q

Conditional probability of an event is the probability of that event occurring given that a condition is met is Pr[X|Y]. Pr[X|Y] = ?

A

Pr[A and B] / P[A]

22
Q

General multiplication rule whether or not events A and B are independent: Pr[A and B] = ?

A

Pr[A]Pr[B|A]

23
Q

Hypothesis testing?

A

Certain testing approaches to determine whether the probability is valid enough