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Lecturer’s desk

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Screen

Cabinet

Cabinet

Lecturer’s desk

Table

Computer Storage Cabinet

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INTEGRATED LEARNING CENTER

ILC 120

9

8

10

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11

broken

desk

Introduction to Statistics for the Social SciencesSBS200, COMM200, GEOG200, PA200, POL200, or SOC200Lecture Section 001, Spring, 2013Room 120 Integrated Learning Center (ILC)10:00 - 10:50 Mondays, Wednesdays & Fridays.

Welcome

Please click in

My last name starts with a

letter somewhere between

A. A – D

B. E – L

C. M – R

D. S – Z

Schedule of readings

Before next exam (April 5th)

Please read chapters 7 – 11 in Ha & Ha

Please read Chapters 2, 3, and 4 in Plous

Chapter 2: Cognitive Dissonance

Chapter 3: Memory and Hindsight Bias

Chapter 4: Context Dependence

Homework due – Monday (April 1st)

- On class website: Homework #19
- Write 3 multiple choice questions based on any lecture since last exam (March 1). Bring two copies to class.
- Each multiple choice question must contain:
- a person’s name
- only one correct answer
- and 3 incorrect options , for a total of 4 options for each question

Use this as your

study guide

Logic of hypothesis testing

Steps for hypothesis testing with t-tests

Hypothesis testing with ANOVA (Analysis of Variance)

Interpreting excel output of hypothesis tests

Constructing brief, complete summary statements

Lab sessions

Labs continue

This week

Homework review

Homework

Homework

Homework

Type of instruction

Exam score

50

40

2-tail

0.05

CAUTION

This is significant with alpha of 0.05

BUT NOT WITH

alpha of 0.01

2.66

2.02

38

p = 0.0113

yes

The average exam score for those with instruction was 50, while the average exam score for those with no instruction was 40. A t-test was conducted and found that instruction significantly improved exam scores, t(38) = 2.66; p < 0.05

Homework

Type of Staff

Travel Expenses

142.5

130.29

2-tail

0.05

1.53679

2.2

11

p = 0.153

no

The average expenses for sales staff is 142.5, while the average expenses for the audit staff was 130.29. A t-test was conducted and no significant difference was found, t(11) = 1.54; n.s.

Homework

Location of lot

Number of cars

86.24

92.04

2-tail

0.05

-0.88

2.01

51

p = 0.38

no

Fun fact:

If the observed t is less than one it will never be significant

The average number of cars in the Ocean Drive Lot was 86.24, while the average number of cars in Rio Rancho Lot was 92.04. A t-test was conducted and no significant difference between the number of cars parked in these two lots, t(51) = -.88; n.s.

Please hand in your homework – they must be stapled

- A survey was conducted to see whether men or women
- superintendents make more money
- The independent variable is ________________
- The dependent variable is _________________
- 3. Who made more money men or women?
- 4. Identify the two means and the observed t score
- 5. Identify the p value and state whether it is less than .05

A survey was conducted to see whether men or women

superintendents make more money

Are both p values less than 0.05?

1.37834 E-05

Equals

.00001378

4 zeros

6.8917 E-06

Equals

.0000068917

5 zeros

A survey was conducted to see whether men or women

superintendents make more money

A note on scientific notation:

“E-05” means move the decimal to the left 5 places

E-06” means move the decimal to the left 6 places

1.37834 E-05

Equals

.00001378

4 zeros

6.8917 E-06

Equals

.0000068917

5 zeros

A survey was conducted to see whether men or women

superintendents make more money. The independent variable is

a. nominal level of measurement

b. ordinal level of measurement

c. interval level of measurement

d. ratio level of measurement

A survey was conducted to see whether men or women

superintendents make more money. The dependent variable is

a. nominal level of measurement

b. ordinal level of measurement

c. interval level of measurement

d. ratio level of measurement

A survey was conducted to see whether men or women

superintendents make more money. The independent variable is

a. continuous and qualitative

b. continuous and quantitative

c. discrete and qualitative

d. discrete and quantitative

A survey was conducted to see whether men or women

superintendents make more money. The dependent variable is

a. continuous and qualitative

b. continuous and quantitative

c. discrete and qualitative

d. discrete and quantitative

A survey was conducted to see whether men or women

superintendents make more money. This is a

a. quasi, between subject design

b. quasi, within subject design

c. true, between subject design

d. true, within subject design

A survey was conducted to see whether men or women

superintendents make more money. This is a

a. one-tailed test

b. two-tailed test

c. three-tailed test

d. not enough information

A survey was conducted to see whether men or women

superintendents make more money. The null hypothesis is

a. men make more money

b. women make more money

c. no difference between amount of money made

d. there is a difference between the amount of money made

- A survey was conducted to see whether men or women
- superintendents make more money. If the null hypothesis was rejected we will conclude that
- a. men make more money
- b. women make more money
- no difference between amount of money made
- d. there is a difference between the amount of money made

- A survey was conducted to see whether men or women
- superintendents make more money. A Type I error would be
- a. claiming men make more money, when they don’t
- b. claiming women make more money, when they don’t
- claiming no difference between amount of money made, when there is a difference
- d. claiming there is a difference between the amount of money made, when there is no difference

- A survey was conducted to see whether men or women
- superintendents make more money. A Type II error would be
- a. claiming men make more money, when they don’t
- b. claiming women make more money, when they don’t
- claiming no difference between amount of money made, when there is a difference
- d. claiming there is a difference between the amount of money made, when there is no difference

A t-test was conducted, there were ___ men in the study

and ___ women.

a. 18; 21

b. 21; 18

c. 19; 19

d. 38; 38

Let’s try one

A t-test was conducted, the observed t was _____

a. 2.02

b. 1.68

c. 5.01

d. 1.37

Let’s try one

A t-test was conducted, the critical t was _____

a. 2.02

b. 1.68

c. 5.01

d. 1.37

Let’s try one

A t-test was conducted, which of the following best describes

the results:

a. t(21) = 2.02; p < 0.05

b. t(21) = 2.02; n.s.

c. t(37) = 5.0; p < 0.05

d. t(37) = 5.0; n.s

Let’s try one

A t-test was conducted, with a two tail test was there a significant difference?

a. No, because 5.0 is not bigger than 6.89

b. Yes, because 5.0 is bigger than 1.68.

c. Yes, because 5.0 is bigger than 1.37

d. Yes, because 5.0 is bigger than 2.02

Let’s try one

Which is true

a. p < 0.05

b. p < 0.01

c. p < 0.001

d. All of the above

Let’s try one

A survey was conducted to see whether women

superintendents make more money than men. This is a

a. one-tailed test

b. two-tailed test

c. three-tailed test

d. not enough information

Note the change in the problem

A survey was conducted to see whether women superintendents make more money than men. A t-test was conducted, which of the following best describes the results:Note the results were in the unpredicted direction

a. reject the null

b. do not reject the null

c. not enough information

Let’s try one

A survey was conducted to see whether women superintendents make more money than men. A t-test was conducted, which of the following best describes the results: Note the results were in the unpredicted direction

a. t(21) = 2.02; p < 0.05

b. t(21) = 2.02; n.s.

c. t(37) = 5.0; p < 0.05

d. t(37) = 5.0; n.s

Let’s try one

Thank you!

See you next time!!