I ONLY NEED LETTER D & E Adults were randomly selected for a Newsweek poll. They were asked if they "favor or oppose using taxes to fund medical research using stem cells obtained from human embryos." Of those polled, 481 were in favor and 401 were opposed. Use 0.01 significance level to test the claim that the proportion of the subjects who respond in favor is equal to 0.5. A. The alternative hypothesis is i. p < 0.5 ii. p > 0.5 iii. p is not equal to 0.5 iv. p = 0.5 B. The computed z-test statistic is i. 2.27 ii. 2.83 iii. 2.69 iv. 2.41 C. The critical/tabular z-test statistic is i. 1.96 ii. 2.58 iii. 2.33 iv. 1.645 . D. Decision rule: i Do not reject the null hypothesis. ii. Reject the null hypothesis. E. The final conclusion is i. The proportion of the subjects who is respond in favor is less than 0.5. ii. The proportion of the subjects who is respond in favor is equal to 0.5. iii. iii. The proportion of the subjects who is respond in favor is not equal to 0.5. iv. The proportion of the subjects who is respond in favor is greater than 0.5.
Contingency Table
A contingency table can be defined as the visual representation of the relationship between two or more categorical variables that can be evaluated and registered. It is a categorical version of the scatterplot, which is used to investigate the linear relationship between two variables. A contingency table is indeed a type of frequency distribution table that displays two variables at the same time.
Binomial Distribution
Binomial is an algebraic expression of the sum or the difference of two terms. Before knowing about binomial distribution, we must know about the binomial theorem.
I ONLY NEED LETTER D & E
Adults were randomly selected for a Newsweek poll. They were asked if they "favor or oppose using taxes to fund medical research using stem cells obtained from human embryos." Of those polled, 481 were in favor and 401 were opposed. Use 0.01 significance level to test the claim that the proportion of the subjects who respond in favor is equal to 0.5.
A. The alternative hypothesis is
i. p < 0.5
ii. p > 0.5
iii. p is not equal to 0.5
iv. p = 0.5
B. The computed z-test statistic is
i. 2.27
ii. 2.83
iii. 2.69
iv. 2.41
C. The critical/tabular z-test statistic is
i. 1.96
ii. 2.58
iii. 2.33
iv. 1.645
.
D. Decision rule:
i Do not reject the null hypothesis.
ii. Reject the null hypothesis.
E. The final conclusion is
i. The proportion of the subjects who is respond in favor is less than 0.5.
ii. The proportion of the subjects who is respond in favor is equal to 0.5. iii. iii. The proportion of the subjects who is respond in favor is not equal to 0.5.
iv. The proportion of the subjects who is respond in favor is greater than 0.5.
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