AP Statistics Flashcards

(37 cards)

1
Q

What is Cuss?

A

Center, unusual, shape, spread

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

How to solve for IQR?

A

IQR=Q3-Q1

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

How to solve for outliers?

A

Q3+1.5(IQR) and Q1-1.5(IQR)

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

Resistant to outliers mean…

A

When the summary statistics is not changed very much when an outlier is removed.

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

5# summary percentile

A

min-0%
Q1-25%
median-50%
Q3-75%
max-100%

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

Formula for Z score

A

Z=x-mean/SD

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

68% of values lie within…

A

1 SD of the mean

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

90% of the values lie within…

A

1.645 SD of the mean

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

95% of values lie within…

A

1.96 (about 2 SD) of the mean

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

99.7% (almost all) of the values lie within…

A

3 SD of the mean

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

Describe patterns

A
  1. Identify variables and cases (each point represents a case)
  2. Describe the shape of the relationship (linearity, clusters, outliers)
  3. Describe the trend (up, down, positive, negative)
  4. Describe the strength of the relationship
  5. Dose the pattern generalize to other cases?
  6. Are there plausible explanations for the pattern? is there a third or lurking variable that might be causing both?
    *5 and 6 may not always apply
How well did you know this?
1
Not at all
2
3
4
5
Perfectly
12
Q

Predictor

A

explanatory variable, x-value

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

Predicted

A

response variable, y-value

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

Extrapolation

A

making a prediction when value of x falls outside the range of actual data

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

Interpolation

A

making a prediction when value of x falls inside the range of actual data (this is safer)

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

Predicted Error

A

The difference between the observed value of Y and the predicted value of Y or y hat

17
Q

How do you get residuals?

18
Q

How do you get Predicted Error?

19
Q

What is Least Square Regression Line?

A

It’s the regression line for which the sum of squared errors (residuals) or SSE is as small as possible, SSE= (y-y hat) ^2

20
Q

How do you interpret r^2?

A

the __% change in y explained by change in x (+ context)

21
Q

How to calculate r^2?

A
  • SST=Sum of Square Total SSE= sum of Square error
    r^2= SST-SSE/SST
    On calculator it is LinReg
22
Q

How to make a Residual Plot?

A

A scatter plot of residuals, y-y hat versed predictor values, X.
1. Highlight L3 and type in the Regression Lin
2. Then Highlight L4 and type L2-L3
3. Graph (L1,L4)

23
Q

How to calculate Exponential Relationship?

A

L1-x
L2-y
L3-ln(L2)

24
Q

Population gose with…

25
Sample gose with...
statistic
26
Steps in choosing a Simple Random Sample
1. Start with a list of all units in the population 2. Number the units in the list 3. Use a random number table of generator to chose units from the numbered list
27
Steps in chosing a Stratafied Random Sample
1. Divide unites into strata (subgroups 2. Take a Simple Random Sample from each subgroup
28
Steps for Cluster Samples
1. Create a number list of all cluster in the population 2. Take Simple Random Samples of clusters 3. Obtain data on each individual in each cluster in your Simple Random Sample
29
Steps in Systematic Sample
1. Take total units in the population and divide by number of units you want in the sample to get the kth 2. Select a random start, then every kth number after to be in sample
30
What is a Lurking Variable?
It's a variable that lies in the background and may or may not be apparent at the outset but could explain the pattern
31
Probability is between...
0 and 1 (0% and 100%)
32
What is Observed Data?
Long-run relative frequencies (experimental probability)
33
What is Symmetry (probability)?
Equally likely outcomes (theoretical probability)
34
What is Subjective (probability)?
Estimates, make a judgment
35
What are the steps in a Simulation that uses random digits?
1. Assumptions- __% is the true percentage, and ______ are independent 2. Model- 0-1 are ___ and 2-9 are _____ 3. Repetition- randint(a,b,c) repeats are okay, real number of ________ 4. Conclusion- # of times _____/ total simulation runs
36
U for addition rule means...
or
37
n for addition rule means...
and