Dictionary
Thesaurus Notations
Recipe for Success
Calc (Short for Calculator)
What are the Odds?
Walk the Line
A Sample of Examples
Completely Normal Questions
100

This is a data value that does not fit the overall pattern of the data and also has a large residual

Outlier

100

This represents the mean of a sample

bar x

100

The expression for calculating a residual

y-hat y

100

This is the click path to edit your lists

STAT --> 1:Edit...

100

The probability that you will win in a carnival game is about 1/9. During the last six attempts, you have not won. You decide to give it one last shot. Assuming the outcomes are independent from game to game, the probability that you will win on the next shot is:

1/9

100

Your school counselor wants to see if he can predict a student’s first year college GPA (grade point average) based on their high school graduating GPA. The explanatory variable in this study is?

High school graduating GPA

100

A salmon farmer is curious if a new feed will promote better growth than the current feed. She is also wondering if nutrition level of the water the salmon use could be improved to also promote growth. The farmer assigns 40 fish to 6 different tanks, each having a different combination of 2 salmon food and 3 different nutrition levels of the water. She also assigns 40 fish to a tank with the food and nutrient level used currently on the farm. In this experiment, how many treatments are there?

7 treatments

100

These measures are strongly affected by outliers

Mean and Standard Deviation

Bonus: Range

200

The three numbers 68, 95, and 99.7 are used to describe this rule

The Empirical Rule (for Normal data)

200

This can also be represented as 

mu_X

E(X)

200

The equation for calculating a z-sxore

z=(x-mu)/sigma

200

Assuming that your data is already entered in your calculator, this is the click path to find your five number summary for the data 

stat --> CALC --> 1:1-Var Stats
200

Event A occurs with probability 0.8. The conditional probability that event B occurs, given that A occurs, is 0.5. The probability that both A and B occur is:

0.4

200

What percent of variability in the cat's body weight is explained by the least-squares regression of body weight on body length?

41.2%

200

Your high school wants to assess their student attitudes towards the new block schedule. The administration randomly selects 5 first block classes out of a possible 35 total first block classes and gives a survey to every student in the class. What type of sample is this an example of?

Cluster

200

For his final AP Statistics project, Daniel wanted to ask the graduating senior class the following questions:

- Will you be attending college?

- What age are you graduating high school at?

- What is your gender?

- What is your graduating GPA?

- What is your phone number?

How many of each variable type are being measured?

3 categorical and 2 quantitative

300

These are the four characteristics that must be discussed when describing a set of data or its distribution.

Shape, Outlier, Center, and Spread

300

This can also be represented as 

P(Not A)

P(bar A)

P(A^C)

300

This equation is used when calculating the standard deviation of X given 

X~B(n,p)

sigma_X=sqrt(np(1-p)

300

This is the click path you would use if you wanted to calculate an x value for a normal distribution if you know its corresponding area

2nd --> distr --> 3:invNorm(

300

Find the value of k:

k=0.04

300

Describe the relationship between the correlation coefficients using a compound inequality

r_3<r_1<r_2

300

You want to draw a sample of 5 unique numbers from a population of 50 numbers. The numbers are labeled 01, 02, . . . , 50, and the line in your table of random digits is:

11362              35692              96237             90842              46843              62719

11  36  23  08  42

300

A variable x follows a normal distribution with a mean of 20 and standard deviation of 5. According to the Empirical Rule, the middle 68% of the data falls between what two x values?

15 and 25

400

Splitting the population into homogeneous group and the selecting an SRS of groups is called this

Stratified Sampling

400

P(X=0)+P(X=1)+P(X=2)+P(X=3)+P(X=4)

P(X<=4)

400

This equation is useful when calculating the probability of A occurring given that B has already occurred.

P(A|B)=(P(AnnB))/(P(B))

400

This is the click path to access this:

stat --> --> CALC --> 4:LinReg

400

Find the standard deviation of W:

sigma_W=1.32

400

Suppose that the scatterplot of (log x, log y) shows a strong positive correlation. Which of the following must be true?

I. The variables x and y also have a correlation close to 1.

II. A scatterplot of (x, y) shows a strong nonlinear pattern.

III. The residual plot of the variables x and y shows a random pattern.

III only

400

What is the reason for having control groups in an experiment?

To reduce the variability in the results

400

The area under the standard Normal curve corresponding to –0.3 < Z < 1.6 is

0.5631

500

These are the four criteria for good experimental design

Comparison, Randomization, Control, Replication

500

This expression represents a normally distributed set of data

X~N(mu, sigma)

500

This is the equation for calculating the standard deviation for a difference of two random variables X and Y

sigma_(X-Y)=sqrt(sigma_X^2+sigma_Y^2)

500

This is the click path to access the following:

2nd --> list

500

Suppose we have a random variable X where the probability associated with the value 

((10),(k))(.37)^k(.63)^(10-k)

What is the mean of X?

mu_X=3.7

500

Find the approximate correlation of the least-squares regression line given:

haty=68.714-0.157x

barx=185.69

bary=39.62

S_x=37.92

S_y=11.09

r~~-0.536

500

Which of the following is (are) important in desgining an experiment?

I. Controling all variables that might have an influence on the response variable.

II. Randomize subjects to treatment groups.

III. Using a large number of subjects to control for small sample variability.

I, II, and III

500

The heights of NFL football players are approximately normally distributed with a mean of 71.5 inches and a standard deviation of 2.3 inches. Aaron Rogers is 6 feet 2 inches. What percentile does that place him at?

86th