CMMB

=flat= =Team Members= @KenzF @MiaL @BoS @ChaseL =M&M Lab=

Hypothesis- A hypothesis is an educated guess. Data gathering- When you are data gathering you are also measuring information on interest. Multiple trials- When creating an experiment, it is essential to test your plan multiple times to confirm you’re correct. Variance- Variance is something that is different than anything else. Average- When you are calculating the average, add up all the data numbers you have and then divide by however many you have. Median- When you are finding the median, put all your number in order from least to greatest and whichever number is in the middle is your median. Mode- To find the mode, you need to examine all your data and determine which number occurs most often. Histogram- A histogram is a bar graph that displays multiple data sets so you can compare them. Pie chart- A pie chart is a circular graph that is divided into sections to show percentages or proportions of the data. Inference- An inference is a prediction of what you think is going to happen and/or show.

Pre-lab

1. Obtain a bag of M&M's. What do we want to know about this bag of M&M's? (Write all the possible questions you can think of.) Include the possible answers to the questions (these are known as hypotheses). How many blue m&ms are in one 1.69 oz. bag of m&ms. We think that there will be 20 blue m&ms in the bag?

2. How can we find the actual answers to the questions? Give all possible ways to answer the questions. This leads to data collection. We can find the total number of blue m&ms by opening the bag and counting the blue m&ms.

Lab

1. Find a partner to work with.

2. Get 1 bag of M&M's per group.

3. Decide on one question you would like to answer about your bag of M&M's. Write it down. (Do not open your bag.) Your question: How many maroon are there in the bag of Mars real chocolate brand M&M’s.

4. Guess what the answer to your question might be (hypothesize). What is your hypothesis? (Do not open the bag.) Your hypothesis: 14

5. Open your bag of M&M's and answer your questions (data collection/experimentation).

6. Also, be sure to count the total number of M&M's in your bag and the number of each color M&M in your bag.

7. Obtain the data from two other groups.

Data:

Data analysis: 1. Looking at the numbers in the data table, are the numbers of total M&M's and the numbers of certian colors of M&M's the same in every bag? No 2. From our data, what would be an accurate way to determine the number of M&M's in a random bag I pick up at the grocery store? Use the following terms in your answer: Variance, Average, Median, Mode, Histogram, Pie chart, Inference.
 * Color || Total Number ||  ||   ||
 * Red || 14 || 7 || 7 ||
 * Orange || 12 || 8 || 10 ||
 * Yellow || 4 || 7 || 8 ||
 * Green || 10 || 8 || 14 ||
 * Blue || 5 || 15 || 6 ||
 * Brown || 10 || 7 || 8 ||
 * Total: || 55 || 53 || 56 ||

When buying bags of Mars Real Chocolate M&M’s there will most likely be a variance in the total number. There is no accurate way to get the exact amount of M&M’s in a bag. You could however make an inference and guess that there is anywhere between 53 and 59 M&M’s in each bag. The average amount of M&M’s in each bag is 56. The median of the bags is also 56. The mode of the M&M’s is 7. A pie chart would show that you would most likely find a lot of orange M&M’s in a bag.