short answer questions

Question 1

Question #1

Answer 1

• Two variable data
• Describe relationship using
  CSOS (context, shape, outliers, spread)
• Interpret slope with lin reg
• Prediction vs. risidual: preiction is the line you create so where you expect data points to be and risidual is differnce between where they are

Question 2

Cluster sampling

Answer 2

• Definition: The population is divided into clusters (like geographical areas), then clusters are randomly selected, and all individuals within the selected clusters are included in the sample.
• Method: Random sampling of clusters, followed by including all individuals within the selected clusters.

Question 3

Simple random sample

Answer 3

• Definition: Every individual in the population has an equal chance of being selected, and each combination of individuals has an equal chance of being selected as the sample.
• Method: Using random number generators or drawing lots to select individuals.

Question 4

Stratified sampling

Answer 4

• Definition: The population is divided into subgroups (or strata) based on certain characteristics (like age, gender, etc.), and then samples are randomly selected from each stratum.
• Method: Random sampling within each stratum.

Question 5

Experimental units

Answer 5

the unit to which the treatment is applied to, the person being tested

Question 6

Response variable

Answer 6

the dependent variable that someone wants to study, such as a test score

Question 7

Random Sampling purpose

Answer 7

How you select individusl from a population in order to generalize it

Question 8

Random assignment purpose

Answer 8

How you place particpants into groups, often to show causation

Question 9

Binomial pdf

Answer 9

the probability of a precise number of successes out of a certain number of trials

Question 10

Binomial cdf

Answer 10

the probability of at least or at most a certain number of successes out of a certain number of trials

Question 11

Binomial Probability

Answer 11

Enter the lower bound for the number of successes (Low), the upper bound for the number of successes (High), the number of trials (Trials), and the probability of success (P), and then hit Calculate

Question 12

Conditional Probability

Answer 12

P(A|B)
- the chances that some outcome (A) occurs given that another event (B) has also occurred
- A is dependent on B

Question 13

Conditional Probability Formula

Answer 13

P(A or B) = P(A) + P(B) - P(A and B)

Question 14

Inference question

Answer 14

2-SampleZTest

Question 15

Law of Large Counts

Answer 15

as a sample size grows, its mean gets closer to the average of the whole population