Statistics > STUDY GUIDE > Testing Hypothesis Involving Population Proportions (All)

Testing Hypothesis Involving Population Proportions

Document Content and Description Below

Testing Hypothesis Involving Population ProportionsEntry card TRUE FALSE 1. Percentages can be expressed as proportions. 2. A proportion is obtained when a frequency of desired events is multipli ed b... y the sum of events. 3. If n = 25, the Central Limit Theorem applies. 4. If the confidence level is 95%, the ? 2 is 0.025. 5. When X = 124 and n = 260, then ? ? = 0.48 6. The p-value of z=2 is 0.4772. 7. The p-value of z ≤ -2 is 0.0228. 8. When ?0 is rejected, it means that a significant difference does not exist. 9. When the evidence is not enough, do not reject the null hypothesis. 10. When the evidence is sufficient to reject the null hypothesis, a significant difference exists.Entry card TRUE FALSE 1. Percentages can be expressed as proportions. / 2. A proportion is obtained when a frequency of desired events is multiplied by the sum of events. / 3. If n = 25, the Central Limit Theorem applies. / 4. If the confidence level is 95%, the ? 2 is 0.025. / 5. When X = 124 and n = 260, then ? ? = 0.48 / 6. The p-value of z=2 is 0.4772. / 7. The p-value of z ≤ -2 is 0.0228. / 8. When ?0 is rejected, it means that a significant difference does not exist. / 9. When the evidence is not enough, do not reject the null hypothesis. / 10. When the evidence is sufficient to reject the null hypothesis, a significant difference exists. /Inferences involving proportions are made in the context of probability, p , of “success” for a binomial distribution [Show More]

Last updated: 2 years ago

Preview 1 out of 15 pages

Buy Now

Instant download

We Accept: