Biostatistical Research Using SPSS

Running Head: BIOSTATISTICAL RESEARCH USING SPSS
BIOSTATISTICAL RESEARCH USING SPSS
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BIOSTATISTICAL RESEARCH USING SPSS1
Answer 1
Here the data shows the subcutaneous oxygen measurement after 12 hours of the start of
two protocols- bed rest and high activity. It was performed on same 10 patients for both the
protocols. The main interest is to find whether there is any dissimilarity in the measurements of
the two protocols. Therefore the null hypothesis will be-
There is no significant difference in the amount of oxygen due to different activity.
For testing the hypothesis, a paired sample t-test is performed. The necessary outputs are
described below:
Table 1.1:
Paired Samples Statistics
Mean N Std. Deviation Std. Error Mean
Pair 1 Bed_rest 66.90 10 2.601 .823
High_activity 64.10 10 2.685 .849
Table 1.2:
Paired Samples Correlations
N Correlation Sig.
Pair 1 Bed_rest & High_activity 10 .733 .016
Table 1.3:
Paired Samples Test
Paired Differences
t df
Sig. (2-
tailed)Mean
Std.
Deviation
Std. Error
Mean
95% Confidence Interval of
the Difference
Lower Upper
Pair
1
Bed_rest -
High_activity
2.800 1.932 .611 1.418 4.182 4.583 9 .001

BIOSTATISTICAL RESEARCH USING SPSS2
From table 1.1, it can be seen that on average, the amount of oxygen tension is 66.90 mm
Hg when a person is taking bed rest whereas that for full activity is 64.10 mm Hg. The
correlation between bed rest and working mode is 0.733 which indicates a strong positive
correlation between them (table 1.2).
The value of the t- statistic is 4.182 with p-value=0.001<0.05. Hence, the null hypothesis
is rejected at 5% level of significance. In other words, the t-statistic is significant and it can be
concluded that there is significant difference in amount of oxygen tension under the skin under
two different protocols.
Answer 2
Here it is required to test the relation between the working status and level of depression of
women. To study this case, a sample data should be collected for both employed and
unemployed women and their corresponding depression level.
a. The null hypothesis for this study can be taken as-
There is no significant difference in the levels of depression due to difference in working
status of women.
The alternative hypothesis will be-
The levels of depression differ noticeably for working and non- working women.
b. Here the analysis is related to the connection between two groups of women with respect
to their dejection level. Hence, there are two independent groups in the data– one for
working women and other for non-working women. Therefore, two –sample independent
t-test would be an appropriate tool for testing the hypothesis.