In: Statistics and Probability
A student pursuing a degree in English as a second language
believes the proportion female factory...
A student pursuing a degree in English as a second language
believes the proportion female factory workers who can't speak
English is different than the proportion of male factory workers
who can't speak English. To test her claim she randomly selects 390
female factory workers and out of them 52 could not speak English.
She then randomly selects 301 male factory workers and out of them
68 could not speak English. Test her claim at αα=0.05 to see if she
was right. The correct hypotheses are:
- H0:pF≤pMH0:pF≤pM
HA:pF>pMHA:pF>pM(claim)
- H0:pF≥pMH0:pF≥pM
HA:pF<pMHA:pF<pM(claim)
- H0:pF=pMH0:pF=pM
HA:pF≠pMHA:pF≠pM(claim)
Since the level of significance is 0.10 the critical value is
1.645 and -1.645
The test statistic is: (round to 3 places)
The p-value is: (round to 3 places)
The decision can be made to:
- reject H0H0
- do not reject H0H0
The final conclusion is that:
- There is enough evidence to reject the claim that the
proportion female factory workers who can't speak English is
different than the proportion of male factory workers who can't
speak English.
- There is not enough evidence to reject the claim that the
proportion female factory workers who can't speak English is
different than the proportion of male factory workers who can't
speak English.
- There is enough evidence to support the claim that the
proportion female factory workers who can't speak English is
different than the proportion of male factory workers who can't
speak English.
- There is not enough evidence to support the claim that the
proportion female factory workers who can't speak English is
different than the proportion of male factory workers who can't
speak English.