Unit 8 Would this get credit?

χ² Test

H₀: Number of months collecting baseball cards does not affect type of card that is a majority. H_a: Number of months collecting baseball cards does affect type of card that is a majority.

Chi-Square Test of Association.

H₀: There is no association between number of months collecting and type of card that is the majority.

H_a: There is an association.

Chi-Square Goodness of Fit Test (or Chi-Square Test of Homogeneity)

H₀: There is an association between number of months collecting and type of card that is the majority.

H_a: There is no association between number of months collecting and type of card that is the majority.

χ² Test of independence.

H₀: Months collecting baseball cards and type of card that is a majority are independent.

H_a: Months collecting baseball cards and type of card that is a majority are not independent.

With a p-value of 0.0075, we reject H₀. There is an association between the number of months collecting baseball cards and which type of card is the majority in the collection (regular or rare).

Because the p-value is less than 0.01, reject H₀. There is not convincing evidence that there is an association between the number of months collecting baseball cards and which type of card is the majority in the collection (regular or rare).

Because 0.0075 < 0.05, Michelle does have convincing evidence that there is an association between the number of months collecting baseball cards and which type of card is the majority in the collection (regular or rare).

Because the p-value is very small, reject the null hypothesis.  There is enough evidence to prove that there is an association between the number of months collecting baseball cards and which type of card is the majority in the collection (regular or rare).

Because 0.0075 < 0.05, reject H0.

Because the p-value is less than alpha, there is sufficient evidence that the number of months collecting baseball cards and which type of card is the majority are not independent.