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Movie fans use the annual Leonard Maltin Movie Guide for facts, cast members, and reviews of more than 21000films. The movies are rated from 4stars (4*), indicating a very good movie, to 1 star (1*), which Leonard Maltin refers to as a BOMB. The following table gives the running times, in minutes, of a random sample of films listed in one year's guide.

At the 1%significance level, do the data provide sufficient evidence to conclude that a difference exists in mean running times among films in the four rating groups? (Note:T1=483,T2=573,T3=576,T4=691,Σx12=232.117.)

Short Answer

Expert verified

Data do not provide sufficient evidence at the 1%significance level since the p-value fails to reject the null hypothesis.

P>0.01⇒FailtoRejectH0.

Step by step solution

01

Given information

The given table is

02

Explanation

The given data is

Find the SST, SSTR and SSE using the relation

SST=∑x2-∑x2n

SST=232117-(2323)224

=7.27×103

SSTR=∑xi2ni-∑x2n

SSTR=48326+57326+48626+69126-(2323)224

=3.63×103

SSE=SST-SSTR

=3.64×103

Then,

dfT=k-1

⇒4-1=3

dfE=n-k

⇒24-4=20

MSTR=SSTRdfT

⇒3.63×1033=1210

MSE=SSEdfE

⇒3.64×10312=303.33

F=MSTRMSE

⇒1210303.33≈3.99

Then put the ANOVA table

Data do not provide sufficient evidence at the 1%significance level since the p-value fails to reject the null hypothesis.

P>0.01⇒FailtoRejectH0.

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