In a one-way ANOVA, if the computed F statistic exceeds the critical F value, we should...
In a one-way ANOVA, if the computed F statistic exceeds the critical F value, we should
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reject H0 since there is evidence that all the means differ |
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reject H0 since there is evidence that at least one of the means is different from the others |
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not reject H0 since there is no evidence of a difference in means |
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not reject H0 because a mistake has been made. |
Homework Answers
Correct option is :
reject H0 since there is evidence that at least one of the means is different from the others
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In a one-way ANOVA, if the computed F statistic exceeds the
critical F value, we should...
In a one-way ANOVA, what is the conclusion if the computed F statistic is greater than...
In a one-way ANOVA, what is the conclusion if the computed F statistic is greater than the critical F value? A.Reject H0 since there is evidence all the means differ. B. Do not reject H0 since there is no evidence of a difference in the means. C.Reject H0 since there is evidence that not all the means are the same. D. Do not reject H0 because a mistake has been made.
Question 1 (1 point) In a one-way ANOVA, if the computed Fstatistic is greater than the...
Question 1 (1 point) In a one-way ANOVA, if the computed Fstatistic is greater than the critical F value you may reject Ho since there is evidence that not all the means are different. O not reject Ho since there is no evidence of a difference in the means. not reject Ho because a mistake has been made. reject Ho since there is evidence all the means differ.
Consider the following scenario. You conduct a RCBD ANOVA test and calculate a test statistic of...
Consider the following scenario. You conduct a RCBD ANOVA test and calculate a test statistic of 3.48 for your primary research question. You had 6 different treatment groups, and 5 levels of your blocking variable. What would be the most correct conclusion to come to using a significance level of 5%? O A. Reject the null hypothesis since the p value is greater than 0.05 and conclude that at least one of the treatment group means are different to the...
Consider the partially completed one-way ANOVA summary table below. a) Complete the remaining entries in the...
Consider the partially completed one-way ANOVA summary table below. a) Complete the remaining entries in the table. b) How many population means are being tested? c) Using alphaαequals=0.010.01, what conclusions can be made concerning the population means? Source Sum of Squares Degrees of Freedom Mean Sum of Squares F Between 129129 ? ? ? Within ? 2020 ? Total 269269 2323 LOADING... Click the icon to view a table of critical F-scores. a) Complete the ANOVA table below. Source Sum...
Find the critical F-value for a one-way ANOVA given: α = 0.01 dfb = 30 dfw...
Find the critical F-value for a one-way ANOVA given: α = 0.01 dfb = 30 dfw = 14 a. 2.72 b. 3.34 c. 4.21 d. 1.98 e. 3.00 In which direction is the F distribution skewed? a. Positively skewed b. Negatively skewed c. No skew If our calculated F is LARGER than our identified critical value from the F-table, what decision would we make about the null hypothesis? a. Reject the null hypothesis b. Fail to reject (i.e., retain) the...
Question 3 1 pts What is the meaning of the P-value provided by a one-way ANOVA?...
Question 3 1 pts What is the meaning of the P-value provided by a one-way ANOVA? How likely that a mistake is made by rejecting a true null hypothesis If you reject the null hypothesis, there is a 5% chance that you're making an incorrect decision The probability that the observed test-statistic would occur by chance if the null hypothesis is true The probability that there is a difference between the sample means Question 4 1 pts What are the...
A one-way analysis of varlance experlment produced the following ANOVA table. (You may find it us...
A one-way analysis of varlance experlment produced the following ANOVA table. (You may find it useful to reference the g table). SUMMARY Count Groups Column 1 Column 2 olumn 3 Source of Variation Between Groups Within Groups Total Average 8.89 1.31 2.35 SS 8.65 df 15 17 MS 4.33 0.26 16.65 8.6882 12.48 a. Conduct an ANOVA test at the 1% significance level to determine if some population means differ. o Reject Ho, we can conclude that some population means...
Which of the following statements about the one-way ANOVA are correct?
Which of the following statements about the one-way ANOVA are correct? (Select all that apply) The larger the variability within groups relative to the variability between groups, the larger the F test statistic tends to be. The results of the ANOVA F test does not tel us which groups are different or how different they are. An F-distribution is symmetrical about 0 and extends indefinitely in both directions In a one-way ANOVA, if the null hypothesis is rejected, we conclude that the population means...
a) Drop-down options: na, one-way ANOVA, within subjects ANOVA, or two-way ANOVA b) Drop-down options: Yes...
a) Drop-down options: na, one-way ANOVA, within subjects ANOVA,
or two-way ANOVA
b) Drop-down options: Yes or No
c) Drop-down options: na, Trivial Effect, Small Effect, Medium
Effect, Large Effect
e & f) Drop-down options: Yes or No
Application Exercise: A social psychologist is interested in how optimism is related to life satisfaction. A sample of individuals categorized as optimistic were asked about past, present, and projected future satisfaction with their lives. Higher scores on the life satisfaction measure indicate...
I understand that one way ANOVA tells me that at least two groups are different from...
I understand that one way ANOVA tells me that at least two groups are different from each other, however it doesn't tell me which groups are different. If the results of my ANOVA were to return a significant f-statistic, how do I determine which ad hoc test I need to run to tell me exactly which groups have a difference in means?
Question 1 (1 point) In a one-way ANOVA, if the computed Fstatistic is greater than the critical F value you may reject Ho since there is evidence that not all the means are different. O not reject Ho since there is no evidence of a difference in the means. not reject Ho because a mistake has been made. reject Ho since there is evidence all the means differ.
Consider the following scenario. You conduct a RCBD ANOVA test and calculate a test statistic of 3.48 for your primary research question. You had 6 different treatment groups, and 5 levels of your blocking variable. What would be the most correct conclusion to come to using a significance level of 5%? O A. Reject the null hypothesis since the p value is greater than 0.05 and conclude that at least one of the treatment group means are different to the...
Question 3 1 pts What is the meaning of the P-value provided by a one-way ANOVA? How likely that a mistake is made by rejecting a true null hypothesis If you reject the null hypothesis, there is a 5% chance that you're making an incorrect decision The probability that the observed test-statistic would occur by chance if the null hypothesis is true The probability that there is a difference between the sample means Question 4 1 pts What are the...
A one-way analysis of varlance experlment produced the following ANOVA table. (You may find it useful to reference the g table). SUMMARY Count Groups Column 1 Column 2 olumn 3 Source of Variation Between Groups Within Groups Total Average 8.89 1.31 2.35 SS 8.65 df 15 17 MS 4.33 0.26 16.65 8.6882 12.48 a. Conduct an ANOVA test at the 1% significance level to determine if some population means differ. o Reject Ho, we can conclude that some population means...
a) Drop-down options: na, one-way ANOVA, within subjects ANOVA,
or two-way ANOVA
b) Drop-down options: Yes or No
c) Drop-down options: na, Trivial Effect, Small Effect, Medium
Effect, Large Effect
e & f) Drop-down options: Yes or No
Application Exercise: A social psychologist is interested in how optimism is related to life satisfaction. A sample of individuals categorized as optimistic were asked about past, present, and projected future satisfaction with their lives. Higher scores on the life satisfaction measure indicate...
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