Reading Data
Global Strategy
Attaching package: 'dplyr'
The following objects are masked from 'package:stats':
filter, lag
The following objects are masked from 'package:base':
intersect, setdiff, setequal, union
# A tibble: 9 × 5
GlobalStrategy variable n mean sd
<fct> <fct> <dbl> <dbl> <dbl>
1 Global Strategy 1 Score 40 0.375 1.19
2 Global Strategy 10 Score 40 -0.025 1.37
3 Global Strategy 11 Score 40 0.2 1.47
4 Global Strategy 12 Score 40 0.2 0.992
5 Global Strategy 13 Score 40 0.475 1.01
6 Global Strategy 14 Score 40 0.175 1.26
7 Global Strategy 3 Score 40 -0.225 0.974
8 Global Strategy 4 Score 40 0.25 1.17
9 Global Strategy 7 Score 40 0.325 1.25
Support Strategy
# A tibble: 3 × 5
SupportStrategy variable n mean sd
<fct> <fct> <dbl> <dbl> <dbl>
1 Support Strategy 2 Score 40 0.35 1.23
2 Support Strategy 6 Score 40 0.1 1.37
3 Support Strategy 8 Score 40 0.425 1.20
Problem Solving
# A tibble: 3 × 5
ProblemSolving variable n mean sd
<fct> <fct> <dbl> <dbl> <dbl>
1 Problem Solving 15 Score 40 0.95 1.36
2 Problem Solving 5 Score 40 -0.25 1.60
3 Problem Solving 9 Score 40 0.075 1.47
Test of Difference between Post test scores and Pre-test Scores
Global Strategy
Significant difference between post global strategy 1 and pre global
strategy 1
One Sample t-test
data: Gupit1$"Global Strategy 1"
t = 1.9904, df = 39, p-value = 0.05359
alternative hypothesis: true mean is not equal to 0
95 percent confidence interval:
-0.006086966 0.756086966
sample estimates:
mean of x
0.375
Significant difference between post global strategy 3 and pre global
strategy 3
One Sample t-test
data: Gupit1$"Global Strategy 3"
t = -1.4615, df = 39, p-value = 0.1519
alternative hypothesis: true mean is not equal to 0
95 percent confidence interval:
-0.53640194 0.08640194
sample estimates:
mean of x
-0.225
Significant difference between post global strategy 4 and pre global
strategy 4
One Sample t-test
data: Gupit1$"Global Strategy 4"
t = 1.35, df = 39, p-value = 0.1848
alternative hypothesis: true mean is not equal to 0
95 percent confidence interval:
-0.1245796 0.6245796
sample estimates:
mean of x
0.25
Significant difference between post global strategy 7 and pre global
strategy 7
One Sample t-test
data: Gupit1$"Global Strategy 7"
t = 1.6466, df = 39, p-value = 0.1077
alternative hypothesis: true mean is not equal to 0
95 percent confidence interval:
-0.07423601 0.72423601
sample estimates:
mean of x
0.325
Significant difference between post global strategy 10 and pre
global strategy 10
One Sample t-test
data: Gupit1$"Global Strategy 10"
t = -0.11559, df = 39, p-value = 0.9086
alternative hypothesis: true mean is not equal to 0
95 percent confidence interval:
-0.462476 0.412476
sample estimates:
mean of x
-0.025
Significant difference between post global strategy 11 and pre
global strategy 11
One Sample t-test
data: Gupit1$"Global Strategy 11"
t = 0.85985, df = 39, p-value = 0.3951
alternative hypothesis: true mean is not equal to 0
95 percent confidence interval:
-0.2704771 0.6704771
sample estimates:
mean of x
0.2
Significant difference between post global strategy 12 and pre
global strategy 12
One Sample t-test
data: Gupit1$"Global Strategy 12"
t = 1.2748, df = 39, p-value = 0.2099
alternative hypothesis: true mean is not equal to 0
95 percent confidence interval:
-0.1173459 0.5173459
sample estimates:
mean of x
0.2
Significant difference between post global strategy 13 and pre
global strategy 13
One Sample t-test
data: Gupit1$"Global Strategy 13"
t = 2.9673, df = 39, p-value = 0.005111
alternative hypothesis: true mean is not equal to 0
95 percent confidence interval:
0.1512115 0.7987885
sample estimates:
mean of x
0.475
Significant difference between post global strategy 13 and pre
global strategy 14
One Sample t-test
data: Gupit1$"Global Strategy 14"
t = 0.87942, df = 39, p-value = 0.3846
alternative hypothesis: true mean is not equal to 0
95 percent confidence interval:
-0.2275072 0.5775072
sample estimates:
mean of x
0.175
Support Strategy
Significant difference between post support strategy 2 and pre
support global strategy 2
One Sample t-test
data: Gupit1$"Support Strategy 2"
t = 1.7982, df = 39, p-value = 0.07989
alternative hypothesis: true mean is not equal to 0
95 percent confidence interval:
-0.04369597 0.74369597
sample estimates:
mean of x
0.35
Significant difference between post support strategy 6 and pre
support global strategy 6
One Sample t-test
data: Gupit1$"Support Strategy 6"
t = 0.46039, df = 39, p-value = 0.6478
alternative hypothesis: true mean is not equal to 0
95 percent confidence interval:
-0.3393454 0.5393454
sample estimates:
mean of x
0.1
Significant difference between post support strategy 8 and pre
support global strategy 8
One Sample t-test
data: Gupit1$"Support Strategy 8"
t = 2.2477, df = 39, p-value = 0.03033
alternative hypothesis: true mean is not equal to 0
95 percent confidence interval:
0.04253912 0.80746088
sample estimates:
mean of x
0.425
Problem Solving
Significant difference between post problem-solving 5 and pre
problem-solving 5
One Sample t-test
data: Gupit1$"Problem Solving 5"
t = -0.9899, df = 39, p-value = 0.3283
alternative hypothesis: true mean is not equal to 0
95 percent confidence interval:
-0.7608328 0.2608328
sample estimates:
mean of x
-0.25
Significant difference between post problem-solving 9 and pre
problem-solving 9
One Sample t-test
data: Gupit1$"Problem Solving 9"
t = 0.32173, df = 39, p-value = 0.7494
alternative hypothesis: true mean is not equal to 0
95 percent confidence interval:
-0.3965211 0.5465211
sample estimates:
mean of x
0.075
Significant difference between post problem-solving 15 and pre
problem-solving 15
One Sample t-test
data: Gupit1$"Problem Solving 15"
t = 4.4251, df = 39, p-value = 7.533e-05
alternative hypothesis: true mean is not equal to 0
95 percent confidence interval:
0.5157582 1.3842418
sample estimates:
mean of x
0.95