A marketing firm was testing a new television.Five volunteers were asked to judge the clarity of the picture from varying viewing distances. They were told to rate the television on a 8-point scale, “0” Very Bad “7” Excellent, from four distances.. The ratings are below. Person 9 feet 12 feet 15 feet 18 feet A 3 4 7 6 P=20 n=5 B 0 3 6 3 P=12 k=4 C 2 1 5 4 P=12 N=20 D 0 1 4 3 P=8 G=60 E 0 1 3 4 P=8 ∑X2=262 T=5 T=10 T=25 T=20 SS=8 SS=9 SS=10 SS=6 Using the output below and α=.01 two tailed...What was the obtained value of the omnibus F?_______________________________ How many degrees of freedom are used to identify the critical value of the F_______________ ### Multivariate TestsThis section presents the results of multivariate tests on "factor1" with four different criteria.| Effect | Value | F | Hypothesis df | Error df | Sig. ||---------------------|--------|---------|---------------|----------|-------|| Pillai's Trace | .989 | 136.250 | 2.000 | 3.000 | .001 || Wilks' Lambda | .011 | 136.250 | 2.000 | 3.000 | .001 || Hotelling's Trace | 90.833 | 136.250 | 2.000 | 3.000 | .001 || Roy's Largest Root | 90.833 | 136.250 | 2.000 | 3.000 | .001 |#### Partial Eta Squared and Power| Effect | Partial Eta Squared | Noncent. Parameter | Observed Powerᵃ ||---------------------|---------------------|--------------------|-----------------|| Pillai's Trace | .989 | 272.500 | 1.000 || Wilks' Lambda | .989 | 272.500 | 1.000 || Hotelling's Trace | .989 | 272.500 | 1.000 || Roy's Largest Root | .989 | 272.500 | 1.000 |### Mauchly's Test of SphericityThis section tests the assumption of sphericity for within-subjects effects.**Measure: MEASURE_1**| Within Subjects Effect | Mauchly's W | Approx. Chi-Square | df | Sig. | Epsilonᵇ | Greenhouse-Geisser ||------------------------|-------------|--------------------|----|------|----------|--------------------|| factor1 | .000 | | 5 | . | | .533 |**Epsilon Values**| Within Subjects Effect | Huynh-Feldt | Lower-bound ||------------------------|-------------|-------------|| factor1 | .833 | .333 |### Tests of Within-Subjects Effects**Measure: MEASURE_1**This table evaluates the within-subjects effects for ### Analysis of Variance (ANOVA) Output### Tests of Within-Subjects Effects**Measure:** MEASURE_1| Source | Partial Eta Squared | Noncent. Parameter | Observed Power* ||----------------------|---------------------|---------------------|-----------------|| Sphericity Assumed | .862 | 75.000 | 1.000 || Greenhouse-Geisser | .862 | 40.000 | .997 || Huynh-Feldt | .862 | 62.500 | 1.000 || Lower-bound | .862 | 25.000 | .955 |*Note: Computed using alpha = .05### Tests of Within-Subjects Contrasts**Measure:** MEASURE_1| Source | | Type III Sum of Squares | df | Mean Square | F | Sig. ||------------|---|------------------------|-----|-------------|-------|-------|| factor1 | Linear | 36.000 | 1 | 36.000 | 360.000 | .000 || | Quadratic | 5.000 | 1 | 5.000 | 3.333 | .142 || Error(factor1) | Linear | .400 | 4 | .100 | | || | Quadratic | 6.000 | 4 | 1.500 | | |**Within-Subjects Contrasts - Additional Metrics**| Source | Partial Eta Squared | Noncent. Parameter | Observed Power* ||--------------------|---------------------|---------------------|-----------------|| factor1: Linear | .989 | 360.000 | 1.000 || factor1: Quadratic | .455 | 3.333 | .290 || Error(factor1) | Linear | | || | Quadratic | | .936 |### Tests of Between-Subjects Effects**Measure:** MEASURE_1| Source | Type III Sum of Squares | df | Mean Square | F | Sig. | Partial Eta Squared ||-----------|-------------------------|-----|-------------

Name: A marketing firm was testing a new television.Five volunteers were ask
Uploaded: 2024-03-20T07:06:27.000Z
Channel: Bartleby
Description: A marketing firm was testing a new television.Five volunteers were asked to judge the clarity of the picture from varying viewing distances. They were told to rate the television on a 8-point scale, “0” Very Bad “7” Excellent, from four distances..