# data[].attributes.headline
In the table below, were the 24 heights
different? Suggest how Microsoft Excel may help you to check your answer. (Jerica)

# data[].attributes.subject
In the table below, were the 24 heights
different? Suggest how Microsoft Excel may help you to check your answer. (Jerica)

# data[].attributes.body
No, not all 24 heights were different. Microsoft Excel can be used to compute the frequency of the various heights. Since some heights have a frequency of more than 1, it shows that the 24 heights were not different.

# data[].attributes.headline
What useful conclusion can you draw from the graph? (Bing Teck)

# data[].attributes.subject
What useful conclusion can you draw from the graph? (Bing Teck)

# data[].attributes.body
The higher up the tree the leaves are picked from, the lower the drug concentration of the leaves. Since the absolute r value is 0.777479422, it has a low linear correlation, thus its not a very good fit.

# data[].attributes.headline
Use Microsoft Excel to plot a suitable graph to
enable you to deduce how one variable changes with the other. Find the linear
equation that relates the variables.
 (Bing Teck)

# data[].attributes.subject
Use Microsoft Excel to plot a suitable graph to
enable you to deduce how one variable changes with the other. Find the linear
equation that relates the variables.
 (Bing Teck)

# data[].attributes.headline
In the
above data set, how many variables were involved?

 (Bing Teck)

# data[].attributes.subject
In the
above data set, how many variables were involved?

 (Bing Teck)

# data[].attributes.body
Two. Height and drug concentration (mg/100g dry leaves).

# data[].attributes.headline
In the above leaf-picking trip, state 2 reasonable assumptions
made on the data collection.
(Haidi)

# data[].attributes.subject
In the above leaf-picking trip, state 2 reasonable assumptions
made on the data collection.
(Haidi)

# data[].attributes.body
The sizes of the leaves picked were identical

The leaves were of the same developmental stage

The amount of test reagents used to test the leaves were the same

# data[].attributes.headline
State the independent and dependent variables and explain your answers. (Jerica)

# data[].attributes.subject
State the independent and dependent variables and explain your answers. (Jerica)

# data[].attributes.body
The independent variable is the height where the leaves were picked (cm) while the dependent variable is the drug concentration (mg/100g dry leaves). The height is the independent variable because the research team had control over this since they could choose the height at which to pick the leaves. This would make the drug concentration the dependent variable because the research team had no control over this and it is dependent on the independent variable (height).

# data[].attributes.headline
If you are involved in the leaf-picking trip, describe at least 2
difficulties you could foresee.
(Haidi)

# data[].attributes.subject
If you are involved in the leaf-picking trip, describe at least 2
difficulties you could foresee.
(Haidi)

# data[].attributes.body
Difficulty in picking out leaves of the same sizes

Difficulty in ensuring the same developmental stage of the different leaves picked

# data[].attributes.headline
What could be the reasons for the varying
concentration? You may cite at least 3 possible reasons
(Haidi)

# data[].attributes.subject
What could be the reasons for the varying
concentration? You may cite at least 3 possible reasons
(Haidi)

# data[].attributes.body
Different developmental stages

Different parts of the trees requires different concentrations of the drug concentration

Different trees might have different amount of fertilisers used thus leading to differing concentrations of the drugs found in the leaves

# data[].attributes.headline
“Foxglove leaves are known to have medicinal
value.” Substantiate with 5 facts to support the statement. (Jerica)

# data[].attributes.subject
“Foxglove leaves are known to have medicinal
value.” Substantiate with 5 facts to support the statement. (Jerica)

# data[].attributes.body
1) Foxglove leaves are a source of digitoxin, a glycoside used in the drug digitalis, which has been used as a heart stimulant since 1785, which is used in the treatment of congestive heart failure and to right congenital heart defects in patients.

2) The astringent quality of foxglove that makes it effective in treating certain heart conditions also benefits the body by tightening up the blood vessels and reducing bleeding by stimulating coagulation.

3) Foxglove can be very effective in the treatment of various nervous disorders. It can have a soothing effect on the nervous system. Studies have directly linked the use of foxglove with reduced symptoms of conditions like epileptic attacks and other manic disorders of the nervous system.

4) Foxglove is used as an antidote in aconite poisoning, given as a hypodermic injection.

5) Foxglove also contains one more important glycoside called digoxin; this compound has a diuretic effect on the kidneys. In small or moderate doses, it is a powerful diuretic and a remedy in edema (build-up of fluid in the body in which causes the affected tissue to become swollen.)