The document discusses hypotheses testing regarding bullish sentiment measured on a sample of 300 members. It tests whether the bullish sentiment differs from its long-term average of 0.39. The p-value is calculated as less than 0.39, so the null hypothesis that the bullish sentiment equals 0.39 is rejected, meaning there is sufficient evidence to conclude the bullish sentiment differs from the long-term average. A second test compares a bullish sentiment of 0.30 to the long-term average and calculates a p-value, rejecting the null hypothesis.

1. on a sample of 300 member.
Ha:n<0.34Ha:p:0.39Ha:p0.39Ha:p:0.39H0:p=0.39Ha:p=0.30H0:p=0.39Ha:p0.39H0:p=0.39Hs:p
<0.39 Find the p-valuc. (focurd your answcr to four dacimal places.) p-walue = What is you-
conclusion? Do not reject H5. Thene Is insuttident eddence bo conclude that the bullsh sentiment
cilters from lts lorg tenm averspe od b.39. Reject H6, There is sutfident eddence to condude thet
the bullsh seriment dies from lts lomg term averaje of c. 39
HC=0.30Hd:=0.30N0=0=0.30H0=00.30H3:n0,310p=0.30AA0.30HC;p+0.0.30 Find the vsiue of
the test statstic {Round yaur srewer to two decimal plscas.] nd the g-salue, (Rourd pour answer
to four decimsl paces, ) p ralua =