Question
Descriptive stanstics: BMI values - 21.2, 24.5, 23.2, 23.4, 26.4, 29.0, 21.2, 22.7, 28.5, 29.3, 21.2, 22.7 Calculate the: 0 Mean =-23.52 o Median
Descriptive stanstics:\ BMI values - 21.2, 24.5, 23.2, 23.4, 26.4, 29.0, 21.2, 22.7, 28.5, 29.3, 21.2, 22.7\ Calculate the:\ 0 Mean
=-23.52
\ o Median
=_(23.3)
\ o Mode
=_(21.2)
\ o
,
Range
=_(5.2)
\ How many participants would be in each of the following "-tiles"?\ o Tertiles
=
groups of\ o Quartiles
=
groups of\ o Order the values and draw a verticle line between the tertiles.\ Inferential statistics:\ Decide if you would use a t-test or ANOVA for the scenarios below?\ o Comparing supplement A and supplement B for decreased in BP-\ o Looking at differences in weight loss of calorie restriction, keto, and fasting-\ o Determining the difference between males and females for dietary quality-\ o Determining difference in effectiveness of a health program amongst 7 fire depts.-\ Circle which of the following results is significant if the level of significance is set at 0.01 (may be more than one).\ 0 Change in
BP=-9mmHg,p=0.03
\ o Change in
BP=-18mmHg,p=0.001
\ o Change in
BP=-12mmHg,p=0.05
\ o Change in
BP=-2mmHg,p=0.017
\ Decide if the following correlations are weak, moderate, or strong. Also note if they are direct or inverse relationships.\
0,r=0.98\ 0,r=-0.25\ 0,r=-0.54\ 0,r=0.63
\ Note what % of the variance in BG is explained by consumption of the following foods.\
0,r^(2)=0.47\ 0,r_(n)^(2)=0.38\ 0,r_(n)^(2)=0.15
\
% of the variance in BG is explained by soda consumption
\
% of the variance in BG is explained by whole grain consumption
\ Decide if each of the following are significant. If so, do they increase or decrease risk or odds?\ \\\\table[[0,
OR=0.34(0.21,0.44)
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