if the zobt is greater than the z critical, what can i assume within this data set?
A.Since zobt > zcrit, we have proven the alternative hypothesis.
B.Since zobt > zcrit, we fail to reject the null hypothesis.
C.since zobt > zcrit, we reject the null hypothesis.
(Q) If the zobt is greater than the z critical, what can i assume within this data set?
Answer:
If the zobt is greater than the z critical, we reject the null hypothesis.
Answer: since zobt > zcrit, we reject the null hypothesis.
Therefore the "option-C" is the correct answer.
if the zobt is greater than the z critical, what can i assume within this data...
Given the following null and alternative hypotheses, the test statistic from the sample data is z=1.875z=1.875. If the significance level of 0.05 which results in a critical value of 1.645, what is the conclusion as it relates to the null hypothesis? H0:p=0.22 H1:p>0.22 Fail to reject the alternative hypothesis Reject the null hypothesis Fail to reject the null hypothesis Support the null hypothesis
1. Regarding a two-tailed z-test with an alpha of 0.05, we would need a Zobt with an absolute value less than 1.96 in order to reject the null hypothesis. True or False? 2. What happens to the probability of committing a Type I error if the level of significance is changed from α = 0.05 to α = 0.01? A. It increases B. It decreases C. It stays the same D. Cannot determine 3. Given a Zobt of -1.99 ,...
assume that the data has a normal distribution and the number of observations is greater than fifty Find the critical z value to test the null hypothesis, alpha = 0.10 for a two-tailed test.
Assume that the data has a normal distribution and the number of observations is greater than fifty. Find the critical z value used to test a null hypothesis. Round to two decimal places. α = 0.07; alternate hypothesis H 1 is μ ≠ 3.24 LaTeX: \pm ± __________
Assume that the data has a normal distribution and the number of observations is greater than fifty. Find the critical z value used to test a null hypothesis. Round to two decimal places. α = 0.025 for a left-tailed test.
r joint null hypothesis test statistic comes . If ou out to be greater than the relevant critical value, do we reject or fail to reject the joint null hypothesis? S&W Chapter 9 -Assessing Studies Based on Multiple Regression 21. In the S&W format, list the five sources of bias in the estimated coefficients outlined in the text and describe each with a few words.
r joint null hypothesis test statistic comes . If ou out to be greater than...
1.) A recent sample of 1250 teenagers found that 83% hope to be married within the next 10 years. Does this evidence show that the percentage of proportion of teenagers who hope to be married is significantly less than 85%? Test using alpha=0.05. Shade the curve using the critical value. Also, graph the test statistic on the curve. a. Claim: b. Null Hypothesis c. Alternative Hypothesis: d. Test to be used? e. Test statistic: f. What is the p-value? g....
I spefically need to see how
the test statistic and critical value is calculated.
Test the claim that the proportion of men who own cats is significantly different than 80% at the 0.02 significance level. The null and alternative hypothesis would be: The test is: left-tailed right-tailed two-tailed Based on a sample of 55 people, 78% owned cats The test statistic is: (to 2 decimals) The positive critical value is: (to 2 decimals) Based on this we: Reject the null...
Assume that the data has a normal distribution and the number of observations is greater than fifty. Find the critical z value used to test a null hypothesis. α-0.05for a left-tailed test. SELECT ALL APPLICABLE CHOICES B) 1.96 士1.96 ±1.645 1.645 E) None of these 19 Assume that a simple random sample has been selected from a normally distributed population and test the conclusion that addresses the original claim and select three correct choices. A test of sobriety SELECT ALL...
California had stricter gun laws than Texas. However, California had a greater proportion of gun murders than Texas. Here we test whether or not the proportion was significantly greater in California. A significant difference is one that is unlikely to be a result of random variation. The table summarizes the data for each state. The p̂'s are actually population proportions but you should treat them as sample proportions. The standard error (SE) is given to save calculation time if you...