week 10: Quantitative Analysis II

0.0(0)
studied byStudied by 0 people
0.0(0)
call with kaiCall with Kai
learnLearn
examPractice Test
spaced repetitionSpaced Repetition
heart puzzleMatch
flashcardsFlashcards
GameKnowt Play
Card Sorting

1/33

encourage image

There's no tags or description

Looks like no tags are added yet.

Study Analytics
Name
Mastery
Learn
Test
Matching
Spaced
Call with Kai

No study sessions yet.

34 Terms

1
New cards

What do descriptive statistics do?

They summarize and describe sample characteristics or relationships

2
New cards

Give an example of a descriptive statistic.

Calculating the average test score in a class

3
New cards

Can descriptive statistics generalize beyond the sample?

No, they do not extend conclusions beyond the studied sample

4
New cards

What do inferential statistics do?

They make generalizations about a population based on a sample

5
New cards

What example illustrates inferential statistics?

Estimating the average age of all students using a sample

6
New cards

What error do inferential statistics account for?

Sampling error, the difference between the sample and the population

7
New cards

What is regression analysis used for?

Modeling relationships between variables with an equation

8
New cards

Write the simple regression equation.

Y = a + bX

9
New cards

In regression, what does “a” represent?

The y‑intercept, the value of Y when X = 0

10
New cards

In regression, what does “b” represent?

The slope, the rate of change in Y for each unit increase in X

11
New cards

What are the independent and dependent variables?

Independent (X) is the assumed cause

12
New cards

In the example Y = 500 + 1000X, what does the 500 mean?

When X (age) = 0, income = $500

13
New cards

In the example Y = 500 + 1000X, what does the 1000 mean?

Each additional year of age adds $1,000 to income

14
New cards

What is a positive association in regression?

As X increases, Y also increases

15
New cards

What is a negative association in regression?

As X increases, Y decreases

16
New cards

What is no association in regression?

No clear pattern between X and Y

17
New cards

What is needed for valid inferential statistics?

A sample drawn from the population, random sampling, and attention to sampling and nonsampling errors

18
New cards

Define “population” in statistics.

The entire group of interest

19
New cards

Define “sample” in statistics.

A subset of the population used for study

20
New cards

What is sampling error?

The difference between sample results and the actual population values

21
New cards

What is nonsampling error?

Mistakes in data collection, like survey response errors

22
New cards

What does a p‑value measure?

The probability that a result is due to chance

23
New cards

What is the common threshold for statistical significance?

p < 0.05

24
New cards

What does p < 0.05 indicate?

The result is unlikely due to chance and is statistically significant

25
New cards

What does p > 0.05 indicate?

There is no strong evidence to support the finding

26
New cards

Give an example of a significance test.

Testing whether a 7% improvement in test scores is real or due to chance

27
New cards

What is the margin of error?

A measure of uncertainty in an estimate

28
New cards

In “54% ± 2%,” what does the ±2% mean?

The true value likely falls between 52% and 56%

29
New cards

How does higher confidence affect the margin of error?

It widens the margin of error

30
New cards

What does descriptive statistics include?

Measures like mean, standard deviation, and regression

31
New cards

What does inferential statistics include?

Methods to generalize from a sample to a population

32
New cards

What does regression analysis do?

Models relationships between variables using an equation

33
New cards

What does a low p‑value signify?

A low probability that the result is due to chance (significant)

34
New cards

What does the margin of error tell us?

The precision of an estimate