For the table below, fill in the missing sections for the Mean, Median, Mode, Range, and Standard
Deviation on your own. Remember to round to two decimal places.
Hint: Put it in SPSS to simplify the
calculation of the standard deviation, using the “Means” test under the Analyze menu!
Then complete
the five questions and transfer your answers to the quiz in Canvas
Condition 1 Scores
Condition 2 Scores
1
5
1
7
2
6
3
5
2
5
2
8
4
7
2
4
2
5
10
6
2
2
3
4
Column Mean
Column Median
Column Mode
Standard Deviation
Column Range
1. The correct mean for Condition One is _______ while the correct mean for Condition Two is ______:
A. 5.00 and 2.00
B. 2.00 and 5.00
C. 2.39 and 1.36
D. 5.25 and 2.50
E. 2.83 and 5.33
2. The correct standard deviation for Condition One is ________ while the correct standard deviation for
Condition Two is _______
A. 2.22 and 3.23
B. 1.36 and 2.39
C. 2.41 and 1.61
D. 2.39 and 2.50
E. 1.36 and 2.39
3. Which of the following is true about the range?
A. Condition One has a larger range than Condition Two
B. Condition Two has a larger range than Condition One
C. Condition One has the same range as Condition Two
D. It is impossible to determine which range is higher or lower for this data set
3. Imagine you ran a
t
-Test on this data to see if Condition One differs significantly from Condition
Two. You got the following Independent Samples Test table:
4. What is the best interpretation for this
t
-Test?
A. It was significant,
t
(2.99) = 22,
p
= .007
B. It was significant,
t
(22) = 2.99,
p
= .007
C. It was significant,
t
(19.24) = 2.99,
p
= .07
D. It was not significant,
t
(22) = 19.24,
p
= .05
E. It was not significant,
t
(22) = 0.13,
p
= .720
5. Using the Independent Samples Test table and your findings for the mean and SDs to fully interpret
the independent samples t-Test, which of the following is correct? Note that unlike Question 4, the p
value here uses < or > rather than =. Also, you’ll need to find the means and SDs in using the original
table above Question #1
A. We ran an independent samples
t
-Test with score as the dependent variable and condition (1
versus 2) as the independent variable, which was significant,
t
(22) = 2.99,
p
< .01. Scores were
lower in condition 1 (
M
= 2.83,
SD
= 2.41) than in condition 2 (
M
= 5.33,
SD
= 1.61).
B. We ran an independent samples
t
-Test with score as the dependent variable and condition (1
versus 2) as the independent variable, which was not significant,
t
(22) = 2.99,
p
> .05. Scores
were lower in condition 1 (
M
= 2.83,
SD
= 2.41) than in condition 2 (
M
= 5.33,
SD
= 1.61).
C. We ran an independent samples
t
-Test with score as the dependent variable and condition (1
versus 2) as the independent variable, which was significant,
t
(19.24) = 2.99,
p
< .001. Scores
were lower in condition 1 (
M
= 2.83,
SD
= 2.41) than in condition 2 (
M
= 5.33,
SD
= 1.61).
D. We ran an independent samples
t
-Test with score as the dependent variable and condition (1
versus 2) as the independent variable, which was significant,
t
(22) = 0.13,
p
< .05. Scores were
lower in condition 1 (
M
= 2.83,
SD
= 2.41) than in condition 2 (
M
= 5.33,
SD
= 1.61).
E. We ran an independent samples
t
-Test with score as the dependent variable and condition (1
versus 2) as the independent variable, which was significant,
t
(22) = 2.99,
p
< .01. Scores were
lower in condition 1 (
M
= 5.33,
SD
= 1.61) than in condition 2 (
M
= 2.83,
SD
= 2.41).
2.83 and 5.33
2. C. 2.41 and 1.61
3. Range of condition 1 = 9
Range of condition 2 = 6
A. Condition One has a larger range than Condition Two
--------------------------------------------------------------------------
t-Test: Two-Sample Assuming Equal Variances | ||
Score1 | Score2 | |
Mean | 2.83 | 5.33 |
Variance | 5.79 | 2.61 |
Observations | 12.00 | 12.00 |
Pooled Variance | 4.20 | |
Hypothesized Mean Difference | 0.00 | |
df | 22.00 | |
t Stat | -2.99 | |
P(T<=t) one-tail | 0.00 | |
t Critical one-tail | 1.72 | |
P(T<=t) two-tail | 0.007 | |
t Critical two-tail | 2.07 |
4 B. (for details, please refer the image)
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