A researcher used an independent sample t test to compare two
treatment conditions. He wanted to...
A researcher used an independent sample t test to compare two
treatment conditions. He wanted to test whether there is a
significant difference between two treatments. Following data were
obtained:
Treatment one group: # of participants = 12, sample mean = 55,
sample standard dev (s) = 2.83
Treatment two group: # of participants = 12, sample mean = 52,
sample standard dev (s) = 2.00
Use 5% significance level.
Assume µ1
and µ2 are the population means for group one
and...
A researcher used an independent sample t test to
compare two treatment conditions. He wanted to...
A researcher used an independent sample t test to
compare two treatment conditions. He wanted to test whether there
is a significant difference between two treatments. Following data
were obtained:
Treatment one group: # of participants = 12, sample
mean = 55, sample standard dev (s) = 2.83
Treatment two group: # of participants = 12, sample
mean = 52, sample standard dev (s) = 2.00
Use 5% significance level. Assume µ1
and µ2 are the population means for group...
A researcher is interested in comparing two medications in
order to see which contributes to the...
A researcher is interested in comparing two medications in
order to see which contributes to the greatest decrease in symptoms
as measured by an instrument on a scale of 0-100. The researcher
recruits three groups of participants, one who receive medication
A, one group of participants who receive medication B, and a
control group who receives a placebo.
A. What type of study design is this (descriptive,
correlational, or experimental)?
B. What would be the appropriate statistical analysis to use...
1) A researcher is running an experiment on the effectiveness of
three different energy drinks. She...
1) A researcher is running an experiment on the effectiveness of
three different energy drinks. She randomly selects 60 individuals
from the population and evenly splits them into three groups, each
of which consumes a different energy drink.
a. The null hypothesis for this test is that at least one of the
three groups will be different. True or False?
The statistical results of the test are as follows: F(2, 47) =
6.24, p < .05.
b. In the above...
HW 6: z-test, t-test for independent samples, t-test for related
samples, 1-way ANOVA
Researchers wanted to...
HW 6: z-test, t-test for independent samples, t-test for related
samples, 1-way ANOVA
Researchers wanted to explore different treatment methods to
effect memory skills in high school freshmen. Subjects were given a
memory test (under multiple conditions) these were the results:
Group 1
10, 8, 9, 11,
8, 9, 7, 6,
9, 8
Group 2
12, 10,
11, 9, 13, 8, 9, 12, 11, 11
Group 3
10, 9, 10, 9, 11,
8, 7, 9, 10, 11...
An independent-samples t test is performed on the
samples below:
Sample 1: M = 24.1, s2...
An independent-samples t test is performed on the
samples below:
Sample 1: M = 24.1, s2 = 32.02,
n = 10
Sample 2: M = 19.4, s2 = 44.46,
n = 10
a.)Calculate the standard error for the t test
(sM1-M2). (Round to 4 decimal
places.)
b.)Calculate the degrees of freedom for the t test.
c.)Find the critical value of t with two tails and
alpha = 0.05. (Keep 3 decimal places.)
d.)Calculate the t test. (Round answer to two decimal
places.)
An experiment consists of three groups (Treatment Group 1,
Treatment Group 2, Placebo Group). What test...
An experiment consists of three groups (Treatment Group 1,
Treatment Group 2, Placebo Group). What test was MOST likely
used?
Repeated Measures T-test
Z-test
Single Sample T-test
ANOVA
The population mean difference for a T-test of Independent
Samples is ALWAYS
0
1
equal to the population mean minus the sample mean
can't answer/not enough information
A research study reported a LARGE effect size of .8. What effect
size formula was used?
Scheffe
Cohen's D
Tukey
Correlation
.10
.001
.05
.5
A researcher hypothesizes that caffeine will affect the speed
with which people read. To test this,...
A researcher hypothesizes that caffeine will affect the speed
with which people read. To test this, the researcher randomly
assigns 8 people into one of two groups: 50mg Caffeine (n1=4) or no
Caffeine (n2=4). An hour after the treatment, the 8 participants in
the study are asked to read from a book for 1 minute; the
researcher counts the number of words each participant finished
reading. The following are the data for each group:
50mg Caffeine (group 1)
450 400...