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RESULTS AND CONCLUSIONS FOR t TEST
WHEN SHOULD YOU USE THE t-TEST?
Quantitative data
Comparing the MEAN of TWO groups only
Sample data
Heights of Phaseolus vulgaris after 30 Days
Stressed Plants(cm)
Unstressed Plants(cm)
55.21
48.04
65.33
64.56
50.50
59.11
57.12
57.25
59.14
51.66
73.00
63.22
57.82
64.78
54.24
58.36
61.92
44.27
67.03
49.99
Step 1: State the null hypothesis.
The mean height of stressed plants is not significantly different from the mean height of
unstressed plants.
Step 2: Establish the level of significance (0.05)
probability of error in rejecting null hypothesis is 5/100
Step 3: Calculate the t statistics using Excel or the graphing calculator
Results from Excel:
Results from TI-84:
t-Test: Two-Sample Assuming
Equal Variances
2-SampTTest
1 > 2
t = 1.277418316
p = .1088854109
df = 17.90487128
x1 = 60.131
x2 = 56.124
Sx1 = 6.75362199
Sx2 = 7.26522187
n1 = 10
n2 = 10
Mean
Variance
Observations
Pooled Variance
Hypothesized
Mean Difference
df
t Stat
P(T<=t) one-tail
t Critical one-tail
P(T<=t) two-tail
t Critical two-tail
Stressed
Plants (cm)
60.131
45.61141
10
49.19742944
0
18
1.277418316
0.108842951
1.734063592
0.217685901
2.100922037
Unstressed
Plants (cm)
56.124
52.78344889
10
RESULTS AND CONCLUSIONS FOR t TEST
Step 4: Compare the calculated value for t to the critical value for t.
TI-84: Look at a table of critical values of t
Excel: Choose the appropriate critical t from your table of results
1 > 2 -- One-tail t-test (Mean of one group > mean of other group)
1  2 -- Two-tail t-test (Means of two groups not equal)
Step 5: Decide to reject or not reject the null hypothesis
Calculated t < critical t → null hypothesis not rejected
Calculated t > critical t → null hypothesis is rejected
At df = 18, critical t at 0.05 level.= 1.73; calculated t of 1.28 < 1.73
The null hypothesis is not rejected.
Step 6: Determine whether the statistical findings support the research hypothesis.
IF Null hypothesis was rejected = research hypothesis was supported
(unless research hypothesis IS a null hypothesis)
IF Null hypothesis not rejected = research hypothesis was not supported
Because the null hypothesis was not rejected, the research hypothesis that stressed plants
would have a greater mean height than unstressed plants was not supported.
Step 7: Construct a data table that communicates all statistics
Effect of Stress on the Mean Height of Phaseolus vulgaris After 30 Days
Stressed group
Unstressed group
Mean
60.13 cm
56.12 cm
Standard deviation
6.75 cm
7.27 cm
1SD
2SD
53.38 – 66.88 cm
46.63 – 73.63 cm
48.85 – 63.39 cm
41.58 – 70.66 cm
Number
10
10
t = 1.28
df = 18
t of 1.28 < 1.73
p = 0.11
Step 8: Write a paragraph describing results

Write a topic sentence stating the independent and dependent variables, and a reference to
tables and graphs.
Effects of stress on the height of Phaseolus vulgaris plants are summarized in Table A.
RESULTS AND CONCLUSIONS FOR t TEST

Write sentences comparing the means and standard deviation of the groups.
Stressed plants exhibited a greater mean height (60.13 cm) than unstressed plants (56.12 cm).
Variations within the groups were similar, with stressed plants having a standard deviation of 6.75
and unstressed plants a standard deviation of 7.27. Ninety-five percent of the stressed plants fell
within the range of 46.63 to 73.63 cm, as opposed to unstressed plants, which ranged from 41.58 to
70.66 cm.

Write sentences describing the statistical test, level of significance, and null hypothesis.
The t test was used to test the following null hypothesis at the 0.05 level of
significance: The mean height of stressed plants is not significantly different from the mean
height of unstressed plants.

Write sentences comparing the calculated t value with the critical value and make a
statement about rejection of the null hypothesis.
The null hypothesis was not rejected (t = 1.28 < 1.73 at df = 18; p =0.11)

Write sentences stating support of the research hypothesis by the data.
The data did not support the research hypothesis that stressed plants would have a greater
mean height after planting than unstressed plants.
Step 9: Construct a box-and-whiskers plot to illustrate the variation for each group.
Effect of Stress on the Height of
Phaseolus vulgaris Plants After 30 Days
75
70
Height (cm)
65
60
55
50
45
40
Stressed
Unstressed
Treatment of Plants
RESULTS AND CONCLUSIONS FOR t TEST
Step 10: Write an appropriate conclusion.
 What was the purpose of the experiment?
The effect of stress on the growth of Phaseolus vulgaris plants was investigated by comparing the
height of ten plants subjected to stress for 15 days with the heights of ten unstressed plants.

What were the major findings? (Focus on results of the statistical test)
No significant difference existed between the mean height of stressed plants and unstressed plants
30 days after transplanting.

Was the research hypothesis supported by the data?
The research hypothesis that stressed bean plants would have a greater mean height than
unstressed bean plants was not supported.

How did your findings compare (similarities and differences) with your preliminary
research?
In contrast, Japanese farmers found that hitting and pulling rice plants were beneficial.(Osaki 57)

What possible explanations can you offer for similarities and/or differences between your
results and other researchers?
Possible explanations include differences in the methods of administering stress or the type of
plant, for example, monocots (rice) versus dicots (beans).

What recommendations do you have for further study and for improving the experiment?
Additional investigations using various sources of stress at more frequent intervals with
both monocots and dicots should be conducted. Improved experimental design techniques should
be implemented, including a larger sample size, more frequent measurement, and a longer
growing period.
NOTE: You should be able to write much more than I did. After all, you did an
extensive literature review before experimentation and you are the “expert” for your
topic.