Homework #3
1)
a) Arranged from smallest standard deviation to the largest, the order of students hypothetical
test scores is: A, C, D, B. Student As scores are consistently the same, Student Cs scores are
more consistently the same with fewer scores high
Homework 4, Part 1
1.)
a.) Z = (3434)/6
Z=0
Z = (4034)/6
Z=1
.8413  .5000 = .3413 is the proportion of Sunday nights when a range of 34 to 40 students
are in the room.
b.) Z = (3134)/6
Z = .5
Z = (4034)/6
Z=1
.8413  .3085 = 0.5328 is the proportion
Homework #5
1.)
I want to see if there is a difference in occupational prestige between two age groups: people
over 50 and people under 50.
My null hypothesis is that the average measure of occupational prestige for people over 50 is
equal to the average
Evaluating Information Notes 2
Independent and Dependent Variables
Cavities (dependent variable) and brand of toothpaste (independent variable)
The independent variable affects the dependent variable, but the dependent
variable does not affect the indepen
Evaluating Information Notes 1
Watch a news clip from a network such as Fox or MSNBC, and you may see
that the news is a bit biased.
We like to confirm what we already believe and deny what we do not believe.
Variables  characteristics that vary and ca
Evaluating Information Notes 3
Measures of Variation:
Range: the total spread of scores from the lowest to the highest observed values.
Interquartile Range: the range in the middle 50% of scores.
Standard Deviation: the average deviation from the mean for
Evaluating Information Notes 4
The difference between sampling distribution and sample distribution.
Sampling Distribution: the distribution of a statistic (typically mean values) for all
possible samples. After enough sample means are plotted the standar
Evaluating Information Notes 5
Hypothesis Testing: a procedure that allows us to evaluate population parameters
based on sample statistics. Used to test if differences in a sample are likely to
exist in the population as well.
2 types of hypotheses: a nul
Homework 8
1.)
Table 1: Correlations among Number of Hours Usually Worked a Week, Income, and
Highest Year of School Completed
Number of Hours
Highest Year of School
Worked
Income
Completed
Number of Hours Worked
Income



0.3074*


Highest Year of S