Lecture Notes Flashcards

0.0(0)
studied byStudied by 0 people
learnLearn
examPractice Test
spaced repetitionSpaced Repetition
heart puzzleMatch
flashcardsFlashcards
Card Sorting

1/17

flashcard set

Earn XP

Description and Tags

Flashcards for reviewing lecture notes.

Study Analytics
Name
Mastery
Learn
Test
Matching
Spaced

No study sessions yet.

18 Terms

1
New cards

Sample

A small subset of a population.

2
New cards

Population Parameters

Descriptive measures of a population (e.g., mu for population mean, sigma for population standard deviation).

3
New cards

Sample Statistic

A descriptive measure calculated from a sample (e.g., x̄ for sample mean).

4
New cards

Sampling Distribution

The distribution of a statistic (e.g., sample mean) calculated from multiple random samples of the same size taken from a population.

5
New cards

Standard Error

The standard deviation of the sampling distribution of the sample mean.

6
New cards

Central Limit Theorem (CLT)

States that the sampling distribution of the sample mean approaches a normal distribution as the sample size increases, regardless of the shape of the population distribution.

7
New cards

T-Statistic

A test statistic used when the population standard deviation is unknown and estimated by the sample standard deviation.

8
New cards

T-Distribution

A probability distribution that is similar to the normal distribution but has heavier tails; used in hypothesis testing when the population standard deviation is unknown and estimated by the sample standard deviation.

9
New cards

Degrees of Freedom

The number of independent pieces of information available to estimate a parameter.

10
New cards

Estimator

A method or formula used to estimate a population parameter.

11
New cards

Estimate

A specific value or numerical result obtained by applying an estimator to a sample of data.

12
New cards

Point Estimate

A single number that estimates the value of a population parameter.

13
New cards

Unbiased Estimator

An estimator whose expected value is equal to the population parameter it is estimating.

14
New cards

Consistent Estimator

An estimator that converges to the true population parameter as the sample size increases.

15
New cards

Efficient Estimator

An estimator with the smallest variance among all unbiased estimators.

16
New cards

Random Sample

A sample in which each member of the population has an equal chance of being selected.

17
New cards

Representative Sample

A sample that accurately reflects the characteristics of the population from which it is drawn.

18
New cards

Confidence Interval

A range of values within which a population parameter is estimated to lie, with a specified degree of confidence.