You have long suspected that the colors are not evenly distributed in a bag of M&M’s. Out of curiosity, you decide to construct a confidence interval for the proportion of orange M&M’s in a bag of peanut M&M’s. Open the dataset ‘MMs_Data.csv’ file in StatCrunch. Treat the dataset as your bag of peanut M&M’s (a simple random sample). Count the number of orange M&M’s and the total number of M&M’s in your bag. Then determine the proportion of your M&M’s that are orange. Number of orange M&M’s: ………………………… Total number of M&M’s: ……………………………. Proportion of orange M&M’s: ……………………..

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Chapter1: Starting With Matlab
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You have long suspected that the colors are not evenly distributed in a bag of M&M’s. Out of curiosity, you decide to construct a confidence interval for the proportion of orange M&M’s in a bag of peanut M&M’s.

Open the dataset ‘MMs_Data.csv’ file in StatCrunch.

  1. Treat the dataset as your bag of peanut M&M’s (a simple random sample).

Count the number of orange M&M’s and the total number of M&M’s in your bag. Then determine the proportion of your M&M’s that are orange.

Number of orange M&M’s: …………………………

Total number of M&M’s: …………………………….

Proportion of orange M&M’s: ……………………..

 

The data set is the attached image. 

Red
0.779
0.918
0.965
0.955
0.829
0.951
0.862
0.789
0.915
0.964
0.897
0.834
0.956
0.845
0.768
0.897
Blue
0.998
0.963
0.709
0.721
0.899
0.845
0.888
0.933
0.956
0.708
Brown
0.739
0.931
0.756
0.919
0.831
0.896
0.912
0.739
0.678
0.912
0.786
0.823
0.921
0.789
0.934
0.735
0.768
0.832
0.913
Green
0.991
0.894
0.887
0.819
0.772
0.815
0.995
Orange
0.994
0.927
0.799
0.901
0.884
0.992
0.883
0.798
0.995
0.785
0.818
0.789
0.812
Transcribed Image Text:Red 0.779 0.918 0.965 0.955 0.829 0.951 0.862 0.789 0.915 0.964 0.897 0.834 0.956 0.845 0.768 0.897 Blue 0.998 0.963 0.709 0.721 0.899 0.845 0.888 0.933 0.956 0.708 Brown 0.739 0.931 0.756 0.919 0.831 0.896 0.912 0.739 0.678 0.912 0.786 0.823 0.921 0.789 0.934 0.735 0.768 0.832 0.913 Green 0.991 0.894 0.887 0.819 0.772 0.815 0.995 Orange 0.994 0.927 0.799 0.901 0.884 0.992 0.883 0.798 0.995 0.785 0.818 0.789 0.812
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