19) ANOVA F test was conducted to test whether the means of five groups are the...
19) ANOVA F test was conducted to test whether the means of five groups are the same against at least one group mean is different. The total number of subjects in five samples were 25. The F ratio (test statistics) was 5.35
a) What is the p-value? (give four decimal places)
b) What is your conclusion at 1% significance level? Are all group means the same?
In a certain large state prison, the age of prison population is normally distributed with mean age of 35 years and and standard deviation of 11 years. If a prisoner is randomly selected from that prison, what is the probability that his age is more than 38 years? State using 4 decimal places
|
0.4136 |
||
|
0.5987 |
||
|
0.3925 |
||
|
0.6075 |
Homework Answers
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19) ANOVA F test was conducted to test whether the means of five
groups are the...
19) ANOVA F test was conducted to test whether the means of three groups are the...
19) ANOVA F test was conducted to test whether the means of three groups are the same against at least one group mean is different. The total number of subjects in three samples were 30. The Fratio (test statistics) was 4.25 a) What is the p-value? b) What is your conclusion at 5% significance level? Are all group means the same?
A study was conducted to find out whether 3 specific age groups have different mean body...
A study was conducted to find out whether 3 specific age groups have different mean body temperatures (oF). The results shown are for 5 randomly selected people from each age group. 18-20 year olds 98.0 98.4 97.7 98.5 97.1 21-29 year olds 99.6 98.2 99.0 98.2 97.9 30 years and older 98.6 98.6 97.0 97.5 97.3 At significance level .05, what is the correct conclusion to the ANOVA F-test? Group of answer choices The p-value indicates that each population...
Analysis of variance compares the means of a response variable for several groups. ANOVA compares the...
Analysis of variance compares the means of a response variable for several groups. ANOVA compares the variation within each group to the variation of the mean of each group. The ratio of these two is the F statistic from an F distribution with (number of groups - 1) as the numerator degrees of freedom and (number of observations - number of groups) as the denominator degrees of freedom. You intend to conduct an ANOVA with 4 groups in which each...
Analysis of variance compares the means of a response variable for several groups. ANOVA compares the...
Analysis of variance compares the means of a response variable for several groups. ANOVA compares the variation within each group to the variation of the mean of each group. The ratio of these two is the F statistic from an F distribution with (number of groups - 1) as the numerator degrees of freedom and (number of observations - number of groups) as the denominator degrees of freedom. You intend to conduct an ANOVA with 4 groups in which each...
Analysis of variance compares the means of a response variable for several groups. ANOVA compares the...
Analysis of variance compares the means of a response variable for several groups. ANOVA compares the variation within each group to the variation of the mean of each group. The ratio of these two is the F statistic from an F distribution with (number of groups - 1) as the numerator degrees of freedom and (number of observations - number of groups) as the denominator degrees of freedom. You intend to conduct an ANOVA with 4 groups in which each...
A related samples t test is conducted when comparing ______. Group of answer choices a. means...
A related samples t test is conducted when comparing ______. Group of answer choices a. means from two different samples b. your sample mean from the population mean c. means from same samples but in different situations d. means from three different samples
The ANOVA summary table for an experiment with six groups, with five values in each group,...
The ANOVA summary table for an experiment with six groups, with five values in each group, is shown to the right. Complete parts (a) through (d) below. Source Degrees of Freedom Sum of Squares Mean Square (Variance) F Among groups C −1 =55 SSA=150 MSA =3030 FSTAT =3.003.00 Within groups n- c = 2424 SSW =240 MSW =1010 Total N −1 =2929 SST = 390 a. At the 0.05 level of significance, state the decision rule...
How would I do this on a Ti-84CE Calculator?
How would I do this on a
Ti-84CE Calculator?"The phenomenon of road rage has been frequently discussed but infrequently examined." So begins a report based on interviews with 1346 randomly selected drivers. The respondents' answers to interview questions produced scores on an 'angry/threatening driving scale with values between 0 and 19, larger values indicating more angry/threatening behaviors. What driver characteristics go with road rage? There were no significant differences among races or levels of education. What about the effect of...
6) When ANOVA F-test suggests that the population means differ, we can examine confidence intervals estimating...
6) When ANOVA F-test suggests that the population means differ, we can examine confidence intervals estimating each population mean to try to determine which population means account for the difference. These are the same one-sample T- intervals we learned in Unit 9. The fictitious data from Study #2 give these 95% confidence intervals. Which population means appear to differ? Which might be the same? Table of confidence interval calculation 1 Grade Sample Mean Std. Err. DF L. Limit U. Limit...
a.) given the following table for a one-way ANOVA test for four treatment groups with six...
a.) given the following table for a one-way ANOVA test for four
treatment groups with six subjects in each group, what would the
decision about H0 be if
?
H0 is ___ @ P ___
Source
Sum of Squares
Degrees of Freedom
Mean Squares
F Ratio
P Value
Treatment
33
Error
Total
145
a-0.05
19) ANOVA F test was conducted to test whether the means of three groups are the same against at least one group mean is different. The total number of subjects in three samples were 30. The Fratio (test statistics) was 4.25 a) What is the p-value? b) What is your conclusion at 5% significance level? Are all group means the same?
Analysis of variance compares the means of a response variable for several groups. ANOVA compares the variation within each group to the variation of the mean of each group. The ratio of these two is the F statistic from an F distribution with (number of groups - 1) as the numerator degrees of freedom and (number of observations - number of groups) as the denominator degrees of freedom. You intend to conduct an ANOVA with 4 groups in which each...
Analysis of variance compares the means of a response variable for several groups. ANOVA compares the variation within each group to the variation of the mean of each group. The ratio of these two is the F statistic from an F distribution with (number of groups - 1) as the numerator degrees of freedom and (number of observations - number of groups) as the denominator degrees of freedom. You intend to conduct an ANOVA with 4 groups in which each...
Analysis of variance compares the means of a response variable for several groups. ANOVA compares the variation within each group to the variation of the mean of each group. The ratio of these two is the F statistic from an F distribution with (number of groups - 1) as the numerator degrees of freedom and (number of observations - number of groups) as the denominator degrees of freedom. You intend to conduct an ANOVA with 4 groups in which each...
How would I do this on a
Ti-84CE Calculator?"The phenomenon of road rage has been frequently discussed but infrequently examined." So begins a report based on interviews with 1346 randomly selected drivers. The respondents' answers to interview questions produced scores on an 'angry/threatening driving scale with values between 0 and 19, larger values indicating more angry/threatening behaviors. What driver characteristics go with road rage? There were no significant differences among races or levels of education. What about the effect of...
6) When ANOVA F-test suggests that the population means differ, we can examine confidence intervals estimating each population mean to try to determine which population means account for the difference. These are the same one-sample T- intervals we learned in Unit 9. The fictitious data from Study #2 give these 95% confidence intervals. Which population means appear to differ? Which might be the same? Table of confidence interval calculation 1 Grade Sample Mean Std. Err. DF L. Limit U. Limit...
a.) given the following table for a one-way ANOVA test for four
treatment groups with six subjects in each group, what would the
decision about H0 be if
?
H0 is ___ @ P ___
Source
Sum of Squares
Degrees of Freedom
Mean Squares
F Ratio
P Value
Treatment
33
Error
Total
145
a-0.05
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