At the 0.10 level of significance, is there evidence of a linear relationship between the number of visitors in Halloween and the number of visitors in Christmas to the amusement park?

TheA false B null C alternative D true)hypothesis H0 is:

The(A sample B population)correlation coefficient(ANOT=B <=C >= DF =)( )

.

TheA false B null C alternative D true)hypothesis H1 is:

The(A sample B population)

correlation coefficient(ANOT=B <=C >= DF =)( )

The(A power of the test B level of significance C level of confidence)=( )[give a value between 0 and 1 correct to 4 decimal places].

The(A population size B sampling rate C sample size)n=( )

.

The chosen test statistic is:

A t=+(r)/+(1r2)/(n2)

B Z=+(p)/(1)/n

C Z=+(X)/(/n)

D t=+(X)/(S/n)

E 2=+(fofe)2/fe

and the test should be a(A upper-tail B two-tail C lower-tail)test.

The critical value is( )[give a positive value correct to 4 decimal places].

The decision rule is then:

Reject(H0 H1)

if(A-critical value < test statistic < critical value

B test statistic > critical value OR test statistic < -critical value

C test statistic < -critical value

D test statistic = critical value

E test statistic NOT= critical value

F test statistic > critical value

G test statistic = critical value OR test statistic = -critical value)

;Do not reject(H1 H0)

otherwise.

From the given data, the test statistic is found to be( )[correct to 4 decimal places].

Hence,(A H0 is not rejected B H1 is not rejected C H1 is rejected D H0 is rejected)

and there is(insufficient sufficient)evidence of a(A linear B quadratic C curvilinear)relationship between the number of visitors in Halloween and the number of visitors in Christmas to the amusement park at the 0.10 level of significance.