Statistics Chapters 5-6
1. Knowledge of what three important characteristics of the comparison distribution is
required for hypothesis testing?
- Mean, spread, shape.
2. The variance of a distribution of means is less than the original population variance
m I l; Croce-"i3
SSCI 224: Basic Stats Two-Factor Analysis of Variance Lab - ungraded
1. Euppose that, as a health researcher, you want to examine the impact of dietary habit
f, ' on pulselfafe. To investigate these issues, you collect a sample of
SSCI 224: Basic Stats Practice Problems t-tests, correlations
1. A researcher claims that the mean height of male college basketball players differs
ﬁom the mean height of female college volleyball players. A sample of 28 female college
Name: Emlqcloggeng I ”O Homework cue 10/23
1 T am interested in cnmnarino shldent: and nrnf‘esgnre on the. number nf' nuns of coffee
they consume per week. The following are the descriptive statistics for two samples.
Perform the appropriate t-test to
For problems 1 and 2, simply identify variables and hypotheses.
1. A researcher compared fem diffetult yreservatives to be used in ﬁ'eeziag strawberries. The
researcher randomly divided snawbenies into four equal ms. Within each group they treated
Name: 5/143] Lab Assignment due 12/2 I I L} Basic Statistics
1. A study was done to see if Mion would reduce systolic blood pressure in patients
with high blood pressure. Patients were instructed in meditation and told to practice it for
half an hour
Homework due 11/22 Basic Statistics
l. A one-way ANOVA tests for a signicant difference between 3
01' more means.
2. A one-way AN OVA is appropriate when you have a set up similar to a
ldq nder? 3 am! X63 ttest, but you have at l
Calculating the variance and standard deviation
1. First, determine n, which is the number of data values.
2. Second, calculate the arithmetic mean, which is the sum of scores divided by
n. For this example, the mean = (8+25+7+5+8+3+10+12+9) / 9 or 9.67
SSCI224 B Exam 3
Cheat Sheet 4/22/16
Null hypothesis: it assumes that whatever you are trying to prove did not happen (i.e. that there is no
Observational studies: description & correlation
True experiments: does the independent variable cause changes in the dependent variable.
Quasi experimental: not able to manipulate the independent variable.
a. Central t
Normal curve: a unimodal, symmetrical, bell-shaped, curve.
- Theoretical distribution of population scores (goes above and below the scores given).
- Area under the curve (AUC) represents the percentage or proportion of
1. Inferential statistics: T-tests, ANOVA.
2. Descriptive statistics: central tendency, spread, frequency, distribution.
3. Equal interval variable: can have a minimum or maximum but there must be an equal
distance between the numbers on a scale. Doesnt h
Statistics Study Guide for Exam 3
FOCUS: t-test for independent means + ANOVA + Interpretation
Focus: Ch. 9 and 10
(But also should be able to distinguish t-test for ind. means FROM t-test for paired samples so