You can use excel to make a graph, but it will be hard for me to explain how if you aren 8767 t familiar with excel. I generally recommend this website:

## :Coffee Tasting Glossary

Generally, you can 8767 t graph qualitative variables like which one stains the most unless you can come up with some sort of a rating scale. For example if she sets up a sequence from 8775 no staining = 5 8776 to 8775 light staining = 6 8776 to 8775 moderate staining = 7 8776 etc. up to heavy staining with whatever number you are on then she could make a bar graph with soda on the x-axis and staining on the y-axis. You may need to establish the rating scale using something like time (so 8775 light staining = 6 8776 would be the equivalent to soaking for 6 (hour or day or week depending on the scale you are making)). You might need a rating scale for each soda, for example, you shouldn 8767 t use a staining scale made with a cola to evaluate an orange soda.

### Cocoa beans - Daily Price - Commodity Prices - Price

If you choose to present the average, I recommend including a table showing you did do 8 trials per dessert, per temperature.

#### Graphs: Vocabulary –

If you have done the skills demonstrated in Part 9 with changing colours, you will be prepared to know the key concepts of changing colours with flawless results.

I am in the fifth grade. I am doing a science fair project. The question that I am investigating is How many day will it take for a fertilized yolk to hatch out as a Chick? My question for you is how would you do or make a graph or chart showing my data?

I will assume you measured 8775 time 8776 for your dependent variable? Then you would make a bar graph with flower type on the x-axis and time on the y-axis. I am not clear why you did one cup of water vs. 6/7 cup of water. Were there differences? If yes, make two graphs (one for each) but if not, average the results (or present two bars per flower type) on the bar graph.

LINE GRAPH – This is the second most common, but frequently used incorrectly, so be careful here. You should only select a line graph if your independent variable is quantitative (numbers) and you hypothesized that the changes in the independent variable would result in changes in the dependent one. For example, line graphs are great for showing changes in the dependent variable over time or distance along a transect.

Directly accessible data for 675 industries from 55 countries and over 6 Mio. facts.

If you recorded observations for each time then you could do a table with the type of soda for each row, and the day for each column and whatever observations you made in the box.

For each dependent variable that you have a quantitative measure of, you can group the data by type of material dyed (wool vs. silk) or type of mordant (alum vs. iron) or by pigment (red cabbage, mint leaves, turmeric, onion skin).

More pictures: «Graph of coffee bean prices declining».
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