Lecture 7

Question 1

What are the 4 types of data analysis?

Answer 1

Prepare the data for analysis
Summarize the data
Put your hypothesis to the test
Interpret results

Question 2

Preparing data for analysis includes?

Answer 2

Data cleaning and correcting errors

Examine distribution

Question 3

Summarizing the data includes?

Answer 3

Central tendency and dispersion

Graphs and tables

Question 4

Putting your hypothesis to the test includes what?

Answer 4

Does you IV have an effect on your DV

Question 5

Creating composite variables for analysis is in what step? Include examples too.

Answer 5

Entering the data. Ex) IQ subscales = verbal + performance IQ

Question 6

What are some common graphs used to visualize data?

Answer 6

Stem and leaf

Histograms

Question 7

The larger the sample, the better the chance for a __________ _________.

Answer 7

normal distribution

Question 8

If your data isn’t in a normal distribution what can you do to remedy it?

Answer 8

You can use a transformation (Logarithmic) or alternative (non-parametric)

Question 9

What is used to describe the distribution of the data?

Answer 9

Central tendency

Dispersion

Question 10

Sample stats are estimates of __________ _________ values.

Answer 10

true population

Question 11

Nominal and ordinal scale data are __________.

Answer 11

categorical

Question 12

Interval and ratio data are ___________.

Answer 12

continuous

Question 13

Central tendency is the _______ value of your data.

Answer 13

central (mean, median, mode)

Question 14

What is dispersion?

Answer 14

how variable your data is

Question 15

What is standard deviation mean?

Answer 15

How far your average score is from the mean.

Question 16

A range of values that we are x percent confident includes the population mean…?

Answer 16

Confidence interval

Question 17

What is a more accurate indicator of central tendency when data are skewed?

Answer 17

Median

Question 18

Why is variability so important?

Answer 18

Variability provides important information that you can use to your advantage.

Question 19

A 95% confidence interval means what?

Answer 19

95% confidence level that the reported interval range contains the true population mean.

Question 20

What was the purpose of the two experiments in the article?

Answer 20

Purpose was to examine pressure felt by the U.S. immigrant groups to prove that they belong by consuming more American (and unhealthy) food.

Question 21

What were the basic results of each experiment in “Fitting in but getting fat”?

Answer 21

1) Asians were 3x as likely to say and American food as their favorite if they were asked if they spoke English beforehand compared to those who weren’t asked.
2) Asians were also more likely to order and eat more fatty American foods when their nationality was directly challenged.

Question 22

Define Effect size

Answer 22

Provides info on the strength of the relationship btw IV and DV independent of sample size. Size of the effect of IV is in terms of avg. amount of dispersal scores occurring in an experiment.