A coworker claims that Skittles candy contains equal quantities of each color (purple, green, orange, yellow, and red). In other words, 1/5 of all Skittles are purple, 1/5 of all Skittles are green, etc. You, an avid consumer of Skittles, disagree with her claim. Test your coworker's claim at the α=0.10 level of significance, using the data shown below from a random sample of 200 Skittles.
Which would be correct hypotheses for this test?
H0:p1=p2
; H1:p1≠p2
H0:
Red Skittles are cherry flavored; H1:
Red Skittles are strawberry flavored
H0:
Taste the Rainbow; H1:
Do not Taste the Rainbow
H0:
Skittles candy colors come in equal quantities; H1:
Skittles candy colors do not come in equal quantities
Sample Skittles data:
Color Count
Purple 38
Green 32
Orange 48
Yellow 47
Red 35
Test Statistic:
Give the P-value. Express to two decimal places:
Which is the correct result:
Do not Reject the Null Hypothesis
Reject the Null Hypothesis
Which would be the appropriate conclusion?
There is not enough evidence to support the claim that Skittles
colors come in equal quantities
There is not enough evidence to reject the claim that Skittles
colors come in equal quantities.
H0:
Skittles candy colors come in equal quantities;
H1:Skittles candy colors do not come in equal quantities
Applying chi square goodness of fit tesT:
relative | observed | Expected | residual | Chi square | |
category | frequency | Oi | Ei=total*p | R2i=(Oi-Ei)/√Ei | R2i=(Oi-Ei)2/Ei |
Purple | 0.200 | 38 | 40.00 | -0.32 | 0.100 |
Green | 0.200 | 32 | 40.00 | -1.26 | 1.600 |
Orange | 0.200 | 48 | 40.00 | 1.26 | 1.600 |
Yellow | 0.200 | 47 | 40.00 | 1.11 | 1.225 |
Red | 0.200 | 35 | 40.00 | -0.79 | 0.625 |
total | 1.000 | 200 | 200 | 5.150 |
Test Statistic X2 =5.150
p value =0.2722
Do not Reject the Null Hypothesis
There is not enough evidence to reject the claim that Skittles colors come in equal quantities.
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