Question

Consider the One-Way ANOVA table (some values are intentionally left blank) for the amount of food...

Consider the One-Way ANOVA table (some values are intentionally left blank) for the amount of food (kidney, shrimp, chicken liver, salmon and beef) consumed by 50 randomly assigned cats (10 per group) in a 10-minute time interval.

H0: All the 5 population means are equal   H1: At least one population mean is different.

Population: 1 = Kidney, 2 = Shrimp, 3 = Chicken Liver, 4 = Salmon, 5 = Beef.

ANOVA

Source of Variation

SS

df

MS

F

P-value

F crit

Between Groups

----

-----

0.91474

--------

9.15E-10

2.578739

Within Groups

1.98

-----

0.043966

Total

5.63745

49

What is the sum of squares 'Between Groups' value (SSA) or factor sum of squares?

  

Select one:

a. 2.9987

b. 3.66

c. 5.7654

d. 1.98

Consider the One-Way ANOVA table (some values are intentionally left blank) for the amount of food (kidney, shrimp, chicken liver, salmon and beef) consumed by 50 randomly assigned cats (10 per group) in a 10-minute time interval.

H0:All the 5 population means equal           H1: At least one population mean is different.

Population: 1 = Kidney, 2 = Shrimp, 3 = Chicken Liver, 4 = Salmon, 5 = Beef.

ANOVA

Source of Variation

SS

df

MS

F

P-value

F crit

Between Groups

------

-----

0.91474

--------

9.15E-10

2.578739

Within Groups

1.97849

-----

0.043966

Total

5.63745

49

What are the 'Between Groups' or factor degrees of freedom and what is the FSTAT value?

Select one:

a. 45, 20.81

b. 49, 22.12

c. 45, 32.12

d. 4, 20.81

Consider the One-Way ANOVA table (some values are intentionally left blank) for the amount of food (kidney, shrimp, chicken liver, salmon and beef) consumed by 50 randomly assigned cats (10 per group) in a 10-minute time interval.

H0:All the 5 population means equal           H1: At least one population mean is different.

Population: 1 = Kidney, 2 = Shrimp, 3 = Chicken Liver, 4 = Salmon, 5 = Beef.

ANOVA

Source of Variation

SS

df

MS

F

P-value

F crit

Between Groups

------

-----

0.91474

--------

9.15E-10

2.578739

Within Groups

1.97849

-----

0.043966

Total

5.63745

49

Given that all the 5 groups (populations) have 10 observations each (sample sizes); the critical range value according to Tukey-Kramer procedure is 0.2513 at α = 0.05 ; and the absolute difference between means for kidney and shrimp groups is 0.22 then we can say that the pair wise difference among means of kidney and shrimp populations is-----

Select one:

a. significant at α = 0.01

b. insufficient information

c. significant at α = 0.05

d. not significant at α = 0.05

Homework Answers

Know the answer?
Your Answer:

Post as a guest

Your Name:

What's your source?

Earn Coins

Coins can be redeemed for fabulous gifts.

Not the answer you're looking for?
Ask your own homework help question
Similar Questions
A researcher conducts a 2 way ANOVA test with interaction and provides the following ANOVA table....
A researcher conducts a 2 way ANOVA test with interaction and provides the following ANOVA table. Find the missing values in the ANOVA table. Source SS Df MS F p-value F crit Sample 700.21 2 .014 Columns 12,199.15 1 5.02E-09 Interaction 56.34 2 0.62 Within 680.38 12 Total 13,636.08 17 At the 5% significance level, can you conclude that there is an interaction effect? At the 5% significance level, can you conclude that the column means differ? At the 5%...
6. (36 pts) The following is an incomplete ANOVA summary table: Source df SS MS F...
6. (36 pts) The following is an incomplete ANOVA summary table: Source df SS MS F Among Groups 3 63 Within Groups 16 97 Total (a) Complete the ANOVA summary table. (b) Determine the number of groups. (b) At the α = 0.05 level of significance, determine whether there is evidence of difference in the population means.
Consider the partially completed one-way ANOVA summary table. Source SS df MS F Treatment 150 Error...
Consider the partially completed one-way ANOVA summary table. Source SS df MS F Treatment 150 Error 17 Total 840 21 Using α = 0.05, the critical F-score for this ANOVA procedure is ________.
A one-way analysis of variance experiment produced the following ANOVA table. (You may find it useful...
A one-way analysis of variance experiment produced the following ANOVA table. (You may find it useful to reference the q table). SUMMARY Groups Count Average Column 1 6 0.71 Column 2 6 1.43 Column 3 6 2.15   Source of Variation SS df MS F p-value Between Groups 10.85 2 5.43 20.88 0.0000 Within Groups 3.86 15 0.26 Total 14.71 17 SUMMARY Groups Count Average Column 1 6 0.71 Column 2 6 1.43 Column 3 6 2.15 ANOVA Source of Variation...
The results of a one-way ANOVA are reported below. Source of variation SS df MS F...
The results of a one-way ANOVA are reported below. Source of variation SS df MS F Between groups 7.18 3 2.39 21.73 Within groups 48.07 453 0.11 Total 55.25 456 How many treatments are there in the study? What is the total sample size? What is the critical value of F if p = 0.05? Write out the null hypothesis and the alternate hypothesis. What is your decision regarding the null hypothesis? Can we conclude any of the treatment means...
A one-way analysis of variance experiment produced the following ANOVA table. (You may find it useful...
A one-way analysis of variance experiment produced the following ANOVA table. (You may find it useful to reference the q table). SUMMARY Groups Count Average Column 1 3 0.66 Column 2 3 1.24 Column 3 3 2.85   Source of Variation SS df MS F p-value Between Groups 8.02 2 4.01 4.09 0.0758 Within Groups 5.86 6 0.98 Total 13.88 8 a. Conduct an ANOVA test at the 5% significance level to determine if some population means differ. Do not reject...
Respond to each of the following questions using this partially completed one-way ANOVA table. Source SS...
Respond to each of the following questions using this partially completed one-way ANOVA table. Source SS DF MS F Between 470 Within 40 Total 1264 44 (a). How many different populations are being compared? (b). Fill in the ANOVA table with the missing (c). State the appropriate null and the alternative (d). Based on the analysis of variance F-test, what conclusion should be reached regarding the null hypothesis? Test Using an α =0.05.
Managers at all levels of an organisation need adequate information to perform their respective tasks. One...
Managers at all levels of an organisation need adequate information to perform their respective tasks. One study investigated the effect the source has on the dissemination of information. In this particular study the sources of information were a superior, a peer and a subordinate. In each case, a measure of dissemination was obtained, with higher values indicating greater dissemination of information. To verify whether the source of information significantly affects dissemination, you perform the ANOVA test. The following table partially...
Consider the partial ANOVA table shown below. Let a = .01 Source of Variation DF SS...
Consider the partial ANOVA table shown below. Let a = .01 Source of Variation DF SS MS F Between Treatments 3 180 Within Treatments (Error) Total 19 380 If all the samples have five observations each: there are 10 possible pairs of sample means. the only appropriate comparison test is the Tukey-Kramer. all of the absolute differences will likely exceed their corresponding critical values. there is no need for a comparison test – the null hypothesis is not rejected. 2...
Given the following information obtained from four normally distributed populations, construct an ANOVA table. (Round intermediate...
Given the following information obtained from four normally distributed populations, construct an ANOVA table. (Round intermediate calculations to at least 4 decimal places. Round "SS" to 2 decimal places, "MS" to 4 decimal places, and "F" to 3 decimal places.) SST = 76.83; SSTR = 11.41; c = 4; n1 = n2 = n3 = n4 = 15 ANOVA Source of Variation SS df MS F p-value Between Groups 0.028 Within Groups Total At the 5% significance level, what is...