STA2023 Exam 4

1. 1If the average height of males in the class is 5'10". We conclude that the average height of all males in the population of IRSC is also 5'10". This is an example of INTERVAL ESTIMATION.

   1. ARichtig
   2. BFalsch
2. 2A series of procedures in which sample data are used to make statements about the populations.

   1. AStatistical Inference
   2. BDescriptive Statistics
   3. CInferential Statistics
   4. DRandom Sample
   5. ENone of the above
3. 3The Symbol for a Type 2 error is

   1. Aß
   2. B1-ß
   3. CPearson r
   4. Dµ
4. 4We commit a Type II error when

   1. Awe reject the alternative when we should have accepted it
   2. Bwe accept the null when we should have accepted it
   3. Cwe fail to reject the null when we should have accepted it.
5. 5We calculate an f critical value of 2.15 and a t of 2.17. Based on this information we would accept the null.

   1. ARichtig
   2. BFalsch
6. 6Statistical Power is a function of what four things?

   1. ASample size (n)
   2. BRandomness
   3. CMean difference
   4. DIndependent observations
   5. EAlpha
   6. FNormality
   7. GWithin Group Variability (WGV)
7. 7One-Way ANOVAs have what four assumptions?

   1. AHomoscedasticity, Within Group Variability, Alpha, and Normality
   2. BRandomness, Normality, Homoscedasticity, and Independent Observations
   3. CConfidence Interval, Independent Observations, Within Group Variability, and Normality
8. 8A one-tailed test is also referred to as

   1. Aone-tailed probablity
   2. Bone-tailed hypothesis
   3. Cnon directional test
   4. Ddirectional test
9. 9A one-tailed test is considered more scientifically credible

   1. ARichtig
   2. BFalsch
10. 10The alternative hypotheses states that there is a significant difference between group means and/or the relationship that is real and significant.

    1. ARichtig
    2. BFalsch

11. 11The goal of hypothesis testing is to accept the null and reject the alternative.

    1. ARichtig
    2. BFalsch
12. 12If p< alpha we:

    1. Areject the null
    2. Baccept the null
13. 13sampling error is the distance of any sample mean from µ

    1. ARichtig
    2. BFalsch
14. 14If we reject the null hypothesis what happens to the p region of the standard distribution?

    1. Athe p region increases
    2. Bthe p region decreases
15. 15If p< alpha we:

    1. Aaccept the null
    2. Breject the null
16. 16What type of ANOVA is used for tracking longitudinal databases?

    1. ARepeated Measures ANOVA
    2. BANCOVA - Analysis of Covariance
    3. CMANOVA - Multivariate analysis of variance
    4. DFactorial ANOVA
17. 17Statistical power is represented by what symbol

    1. A1-ß
    2. Balpha
    3. C∑
    4. Dµ
18. 18An ANOVA is a test of independence used to determine if two categorical variables are independent of each other.

    1. ARichtig
    2. BFalsch
19. 19A researcher is measuring the impact on the same dependent variable for two different groups. Which would be the best test to run?

    1. Atwo independent sample t test
    2. Bcorrelated t test
20. 20Hypothesis testing is the most widely utilized set of inferential procedures in science.

    1. ARichtig
    2. BFalsch
21. 21Which category of Inferential Statistics are we employing when we are testing if a belief or claim about a population parameter is true?

    1. APoint Estimation
    2. BInterval Estimation
    3. CAll of the above
    4. DHypothesis Testing
    5. ENone of the above
22. 22What are the steps within the Repeated Measures Design?

    1. AExperiment, Sample, Point Estimation
    2. BPretest, Experiment, Post test, Difference
    3. CHypothesis, Sample, Difference, Test
23. 23The mean of the xbars on a sampling distribution equals

    1. Aµ
    2. Bß
    3. C1-ß
    4. Dnone of the above
24. 24When we take a sample statistic and automatically conclude that it is, indeed, the corresponding population parameter we are using:

    1. AInterval Estimation
    2. BPoint Estimation
    3. CStatistical Hypothesis
25. 25If an infinite amount of randomly selected samples of a fixed sample n are drawn from a population regardless of the shape of the distribution we are referring to:

    1. AThe Central Limit Theorem
    2. BInterval Estimation
    3. CSampling Distibution
26. 26What is the calculation for sampling distribution?

    1. Athe distance from any sample mean from µ
    2. Bthe difference between Pearson r and rho
    3. Cthe difference between sigma and s
    4. Dnone of the above
27. 27Power decreases as as mean difference increases

    1. ARichtig
    2. BFalsch
28. 28As Sampling size decreases, power increases

    1. ARichtig
    2. BFalsch
29. 29A study is being conducted on the efficacy of a new medication. As the study measures the results on more people, what two things happen to the hypothesis ?

    1. AThe sample size increases
    2. BThe sample size decreases
    3. CThe statistical power increases
    4. DThe statistical power decreases
30. 30Our alpha is = to .05, we can assume that p=

    1. A.01
    2. B.025
    3. C.05
    4. D5
31. 31WGV is a function of statistical power and it refers to

    1. AWithin Group Variability
    2. BWithin Group Viability
    3. CWillingness Group
32. 32Sampling Error is the distance from any sample mean to mu

    1. ARichtig
    2. BFalsch
33. 33Before we run any statistical test p ≠ alpha

    1. ARichtig
    2. BFalsch
34. 34What is the appropriate statistical test to use when we have two independent sample groups

    1. Acorrelated t test
    2. Btwo independent sample t test
    3. CANOVA
    4. Dpoint estimation
35. 35The most unique difference between repeated measures and other experimental designs is that in repeated measures, subjects serve as their own control.

    1. ARichtig
    2. BFalsch
36. 36When µ is known and sigma is known what calculation do you use?

    1. Acorrelated t test
    2. Bz test
    3. Ctwo independent sample t
    4. Dinterval estimation
37. 37Sigma is known and s is given, so we will use the:

    1. Aone sample t test
    2. Bz test
    3. Ccorrelated t test
    4. Dstandard deviation
38. 38When testing a hypothesis where Pearson r is given, the null hypothesis is [blank_start]Hsub0: rho = 0[blank_end] and the alternate hypothesis is [blank_start]Hsub1: rho ≠ 0[blank_end]

    1. AHsub0: rho = 0
    2. BHsub0: rho ≠ 0
    3. CHsub0: rho ≠ Pearson r
    4. DHsub1: rho ≠ 0
    5. EHsub1: rho ≠ Pearson r
39. 39In a correlated t test the null hypothesis would be what?

    1. AHsub0: µpre = µpost
    2. BHsub0: µsub d bar = 0
    3. CHsub1: µpre = µpost
40. 40Heights are measured from a random sample of 50 females is taken from the IRSC student body. Based on the rules of Generalization, why can we generalize these to a greater population?

    1. ABecause we had a large enough sample size
    2. BBecause the sample was randomized
    3. CBecause IRSC is a diverse school and represents various subsets of the female population
    4. DWe cannot generalize these results
41. 41To calculate the degrees of freedom for a t test calculate n - 1

    1. ARichtig
    2. BFalsch
42. 42A group of volunteers take part in a study to test the effects of sunlight on skin tone. The results can be generalized to the population.

    1. ARichtig
    2. BFalsch
43. 43Vets tested the effectiveness of wet food on cavities and gum disease in cats.

    1. AThis is a correlated t test
    2. BThis is a two tailed independent t test
    3. CThis is a sampling distribution
    4. DAll of the above
    5. ENone of the above
44. 44In two tailed hypothesis test the two critical values divide the area under the sampling distribution into

    1. Ainto two rejection and one nonrejection regions
    2. Binto two rejection and two nonrejection regions
    3. Cinto one rejection and two nonrejection regions
    4. Dinto one rejection and one nonrejection regions
45. 45We have accepted a Null. What is the chance that we achieved a Type 2 error (ß)

    1. A5%
    2. B1%
    3. CWe do not calculate a numerical value for a Type 2 error
    4. DNone of the above
46. 46A Research scientist is interested in testing the effectiveness of various types of psychotherapy in the treatment of depression. She randomly selects from a group who've recently sought counseling at a local health center. She randomly assigns them to 1 of 4 treatment conditions.
    
    The 1st condition is a control condition (the client meets w/therapist but they chit-chat... no form of psychotherapy is administered). Group 2,3,&4 receive recognized forms of psychotherapy.
    
    After 1 month of treatments, she gives a standardized measure of depressive symptoms (1= not depressed... 10= highly depressed). The data are shown below. Are any of the psychotherapeutic treatments significantly more effective in reducing measured levels of depressive symptoms. Please use alpha of .05.
    
    What statistical test would she use

    1. AChi Squared Test
    2. BOne sample T Test
    3. COne Way ANOVA
    4. DAn ANCOVA
47. 47A Research scientist is interested in testing the effectiveness of various types of psychotherapy in the treatment of depression. She randomly selects from a group who've recently sought counseling at a local health center. She randomly assigns them to 1 of 4 treatment conditions.
    
    The 1st condition is a control condition (the client meets w/therapist but they chit-chat... no form of psychotherapy is administered). Group 2,3,&4 receive recognized forms of psychotherapy.
    
    After 1 month of treatments, she gives a standardized measure of depressive symptoms (1= not depressed... 10= highly depressed). The data are shown below. Are any of the psychotherapeutic treatments significantly more effective in reducing measured levels of depressive symptoms. Please use alpha of .05.
    
    control (no treatment): 5 6 4 2 4 6
    treatment #1: 6 5 4 4 6 2
    treatment #2: 4 5 1 3 3 5
    treatment #3: 4 1 2 1 3 1
    
    Calculate the x bar for each group
    
    xbar subset1: [blank_start]4.5[blank_end]
    xbar subset2: [blank_start]4.5[blank_end]
    xbar subset3: [blank_start]3.5[blank_end]
    xbar subset4: [blank_start]2[blank_end]
    
    Calculate ∑x for each group
    ∑x subset1: [blank_start]27[blank_end]
    ∑x subset2: [blank_start]27[blank_end]
    ∑x subset3: [blank_start]21[blank_end]
    ∑x subset4: [blank_start]12[blank_end]

    1. A4.5
    2. B4.5
    3. C3.5
    4. D2
    5. E27
    6. F27
    7. G21
    8. H12
48. 48A Research scientist is interested in testing the effectiveness of various types of psychotherapy in the treatment of depression. She randomly selects from a group who've recently sought counseling at a local health center. She randomly assigns them to 1 of 4 treatment conditions.
    
    The 1st condition is a control condition (the client meets w/therapist but they chit-chat... no form of psychotherapy is administered). Group 2,3,&4 receive recognized forms of psychotherapy.
    
    After 1 month of treatments, she gives a standardized measure of depressive symptoms (1= not depressed... 10= highly depressed). The data are shown below. Are any of the psychotherapeutic treatments significantly more effective in reducing measured levels of depressive symptoms. Please use alpha of .05.
    
    control (no treatment): 5 6 4 2 4 6
    treatment #1: 6 5 4 4 6 2
    treatment #2: 4 5 1 3 3 5
    treatment #3: 4 1 2 1 3 1
    
    xbar subset1: 4.5
    xbar subset2: 4.5
    xbar subset3: 3.5
    xbar subset4: 2
    
    ∑x subset1: 27
    ∑x subset2: 27
    ∑x subset3: 21
    ∑x subset4: 12
    
    Calculate the ∑xsquared values
    
    ∑xsquared subset1: [blank_start]133[blank_end]
    ∑xsquared subset2: [blank_start]133[blank_end]
    ∑xsquared subset3: [blank_start]85[blank_end]
    ∑xsquared subset4: [blank_start]32[blank_end]
    
    Calculate N subT: [blank_start]24[blank_end]
    Calculate ∑x sub T: [blank_start]87[blank_end]
    Calculate (∑x sub T) squared: [blank_start]7569[blank_end]
    Calculate ∑x sub Tsquared: [blank_start]383[blank_end]
    Calculate SS sub T: (total sum of squares) SSsubT= ∑x sub Tsquared - (∑x sub T) squared / NsubT
    [blank_start]383[blank_end] - [blank_start]7569[blank_end]/[blank_start]24[blank_end] = [blank_start]67.625[blank_end]

    1. A133
    2. B133
    3. C85
    4. D32
    5. E24
    6. F87
    7. G7569
    8. H383
    9. I383
    10. J7569
    11. K24
    12. L67.625
49. 49A Research scientist is interested in testing the effectiveness of various types of psychotherapy in the treatment of depression. She randomly selects from a group who've recently sought counseling at a local health center. She randomly assigns them to 1 of 4 treatment conditions.
    
    The 1st condition is a control condition (the client meets w/therapist but they chit-chat... no form of psychotherapy is administered). Group 2,3,&4 receive recognized forms of psychotherapy.
    
    After 1 month of treatments, she gives a standardized measure of depressive symptoms (1= not depressed... 10= highly depressed). The data are shown below. Are any of the psychotherapeutic treatments significantly more effective in reducing measured levels of depressive symptoms. Please use alpha of .05.
    
    control (no treatment): 5 6 4 2 4 6
    treatment #1: 6 5 4 4 6 2
    treatment #2: 4 5 1 3 3 5
    treatment #3: 4 1 2 1 3 1
    
    xbar subset1: 4.5
    xbar subset2: 4.5
    xbar subset3: 3.5
    xbar subset4: 2
    
    ∑x subset1: 27
    ∑x subset2: 27
    ∑x subset3: 21
    ∑x subset4: 12
    
    Calculate the ∑xsquared values
    
    ∑xsquared subset1: 133
    ∑xsquared subset2: 133
    ∑xsquared subset3: 85
    ∑xsquared subset4: 32
    
    N subT: 24
    ∑x sub T: 87
    (∑x sub T) squared: 7569
    ∑x sub Tsquared: 383
    SS sub T: 67.625
    
    Calculate the G value

    1. A4
    2. B3
    3. Cn-1
    4. D5
    5. E24
50. 50A Research scientist is interested in testing the effectiveness of various types of psychotherapy in the treatment of depression. She randomly selects from a group who've recently sought counseling at a local health center. She randomly assigns them to 1 of 4 treatment conditions.
    
    The 1st condition is a control condition (the client meets w/therapist but they chit-chat... no form of psychotherapy is administered). Group 2,3,&4 receive recognized forms of psychotherapy.
    
    After 1 month of treatments, she gives a standardized measure of depressive symptoms (1= not depressed... 10= highly depressed). The data are shown below. Are any of the psychotherapeutic treatments significantly more effective in reducing measured levels of depressive symptoms. Please use alpha of .05.
    
    control (no treatment): 5 6 4 2 4 6
    treatment #1: 6 5 4 4 6 2
    treatment #2: 4 5 1 3 3 5
    treatment #3: 4 1 2 1 3 1
    
    xbar subset1: 4.5
    xbar subset2: 4.5
    xbar subset3: 3.5
    xbar subset4: 2
    
    ∑x subset1: 27
    ∑x subset2: 27
    ∑x subset3: 21
    ∑x subset4: 12
    
    Calculate the ∑xsquared values
    
    ∑xsquared subset1: 133
    ∑xsquared subset2: 133
    ∑xsquared subset3: 85
    ∑xsquared subset4: 32
    
    N subT: 24
    ∑x sub T: 87
    (∑x sub T) squared: 7569
    ∑x sub Tsquared: 383
    SS sub T: 67.625
    G: 4
    
    Calculate the Df sub b (between group Degrees of Freedom)
    [blank_start]G-1[blank_end] = [blank_start]3[blank_end]
    Calculate the Df sub w (within group Degrees of Freedom)
    [blank_start]NsubT-G[blank_end] = [blank_start]20[blank_end]

    1. AG-1
    2. BG
    3. CNsubT-1
    4. D3
    5. E5
    6. F23
    7. GNsubT-G
    8. HNsubT-1
    9. IG-n
    10. J20
    11. K23
    12. L18
51. 51A Research scientist is interested in testing the effectiveness of various types of psychotherapy in the treatment of depression. She randomly selects from a group who've recently sought counseling at a local health center. She randomly assigns them to 1 of 4 treatment conditions.
    
    The 1st condition is a control condition (the client meets w/therapist but they chit-chat... no form of psychotherapy is administered). Group 2,3,&4 receive recognized forms of psychotherapy.
    
    After 1 month of treatments, she gives a standardized measure of depressive symptoms (1= not depressed... 10= highly depressed). The data are shown below. Are any of the psychotherapeutic treatments significantly more effective in reducing measured levels of depressive symptoms. Please use alpha of .05.
    
    control (no treatment): 5 6 4 2 4 6
    treatment #1: 6 5 4 4 6 2
    treatment #2: 4 5 1 3 3 5
    treatment #3: 4 1 2 1 3 1
    
    xbar subset1: 4.5
    xbar subset2: 4.5
    xbar subset3: 3.5
    xbar subset4: 2
    
    ∑x subset1: 27
    ∑x subset2: 27
    ∑x subset3: 21
    ∑x subset4: 12
    
    Calculate the ∑xsquared values
    
    ∑xsquared subset1: 133
    ∑xsquared subset2: 133
    ∑xsquared subset3: 85
    ∑xsquared subset4: 32
    
    N subT: 24
    ∑x sub T: 87
    (∑x sub T) squared: 7569
    ∑x sub Tsquared: 383
    SS sub T: 67.625
    G: 4
    Df sub b: 3
    Df sub w: 20
    
    Calculate
    (∑x subset1) sqaure: 729
    (∑x subset2) sqaure: 729
    (∑x subset3) sqaure: 441
    (∑x subset4) sqaure: 144
    
    Calculate the SS sub b (sum of square difference between groups)
    [ (∑x subset 1)squared/ nsub1 + (∑x subset 2)squared/ nsub2 + (∑x subset 3)squared/ nsub3 + (∑x subset 4)squared/ nsub4] - [(∑x sub T) squared/NsubT]
    
    [([blank_start]729[blank_end]/6 + [blank_start]729[blank_end]/6 + [blank_start]441[blank_end]/6 + ([blank_start]144[blank_end]/6] - [[blank_start]7569[blank_end]/[blank_start]24[blank_end]] = [blank_start]49.125[blank_end]

    1. A729
    2. B729
    3. C441
    4. D144
    5. E7569
    6. F49.125
    7. G24
52. 52A Research scientist is interested in testing the effectiveness of various types of psychotherapy in the treatment of depression. She randomly selects from a group who've recently sought counseling at a local health center. She randomly assigns them to 1 of 4 treatment conditions.
    
    The 1st condition is a control condition (the client meets w/therapist but they chit-chat... no form of psychotherapy is administered). Group 2,3,&4 receive recognized forms of psychotherapy.
    
    After 1 month of treatments, she gives a standardized measure of depressive symptoms (1= not depressed... 10= highly depressed). The data are shown below. Are any of the psychotherapeutic treatments significantly more effective in reducing measured levels of depressive symptoms. Please use alpha of .05.
    
    control (no treatment): 5 6 4 2 4 6
    treatment #1: 6 5 4 4 6 2
    treatment #2: 4 5 1 3 3 5
    treatment #3: 4 1 2 1 3 1
    
    xbar subset1: 4.5
    xbar subset2: 4.5
    xbar subset3: 3.5
    xbar subset4: 2
    
    ∑x subset1: 27
    ∑x subset2: 27
    ∑x subset3: 21
    ∑x subset4: 12
    
    Calculate the ∑xsquared values
    
    ∑xsquared subset1: 133
    ∑xsquared subset2: 133
    ∑xsquared subset3: 85
    ∑xsquared subset4: 32
    
    N subT: 24
    ∑x sub T: 87
    (∑x sub T) squared: 7569
    ∑x sub Tsquared: 383
    SS sub T: 67.625
    G: 4
    Df sub b: 3
    Df sub w: 20
    
    (∑x subset1) sqaure: 729
    (∑x subset2) sqaure: 729
    (∑x subset3) sqaure: 441
    (∑x subset4) sqaure: 144
    SS sub b: 49.125
    
    Determine the Fcritical value:

    1. A3.10
    2. B2.38
    3. C8.66
    4. D5.18
53. 53A Research scientist is interested in testing the effectiveness of various types of psychotherapy in the treatment of depression. She randomly selects from a group who've recently sought counseling at a local health center. She randomly assigns them to 1 of 4 treatment conditions.
    
    The 1st condition is a control condition (the client meets w/therapist but they chit-chat... no form of psychotherapy is administered). Group 2,3,&4 receive recognized forms of psychotherapy.
    
    After 1 month of treatments, she gives a standardized measure of depressive symptoms (1= not depressed... 10= highly depressed). The data are shown below. Are any of the psychotherapeutic treatments significantly more effective in reducing measured levels of depressive symptoms. Please use alpha of .05.
    
    control (no treatment): 5 6 4 2 4 6
    treatment #1: 6 5 4 4 6 2
    treatment #2: 4 5 1 3 3 5
    treatment #3: 4 1 2 1 3 1
    
    xbar subset1: 4.5
    xbar subset2: 4.5
    xbar subset3: 3.5
    xbar subset4: 2
    
    ∑x subset1: 27
    ∑x subset2: 27
    ∑x subset3: 21
    ∑x subset4: 12
    
    Calculate the ∑xsquared values
    
    ∑xsquared subset1: 133
    ∑xsquared subset2: 133
    ∑xsquared subset3: 85
    ∑xsquared subset4: 32
    
    N subT: 24
    ∑x sub T: 87
    (∑x sub T) squared: 7569
    ∑x sub Tsquared: 383
    SS sub T: 67.625
    G: 4
    Df sub b: 3
    Df sub w: 20
    
    (∑x subset1) sqaure: 729
    (∑x subset2) sqaure: 729
    (∑x subset3) sqaure: 441
    (∑x subset4) sqaure: 144
    SS sub b: 49.125
    F critical value: 3.10
    
    Complete the ANOVA summary table:

    

    1. A3
    2. B49.125
    3. C20
    4. D67.625
    5. E18.5
    6. F23
    7. G16.375
    8. H.925
54. 54A Research scientist is interested in testing the effectiveness of various types of psychotherapy in the treatment of depression. She randomly selects from a group who've recently sought counseling at a local health center. She randomly assigns them to 1 of 4 treatment conditions.
    
    The 1st condition is a control condition (the client meets w/therapist but they chit-chat... no form of psychotherapy is administered). Group 2,3,&4 receive recognized forms of psychotherapy.
    
    After 1 month of treatments, she gives a standardized measure of depressive symptoms (1= not depressed... 10= highly depressed). The data are shown below. Are any of the psychotherapeutic treatments significantly more effective in reducing measured levels of depressive symptoms. Please use alpha of .05.
    
    control (no treatment): 5 6 4 2 4 6
    treatment #1: 6 5 4 4 6 2
    treatment #2: 4 5 1 3 3 5
    treatment #3: 4 1 2 1 3 1
    
    xbar subset1: 4.5
    xbar subset2: 4.5
    xbar subset3: 3.5
    xbar subset4: 2
    
    ∑x subset1: 27
    ∑x subset2: 27
    ∑x subset3: 21
    ∑x subset4: 12
    
    Calculate the ∑xsquared values
    
    ∑xsquared subset1: 133
    ∑xsquared subset2: 133
    ∑xsquared subset3: 85
    ∑xsquared subset4: 32
    
    N subT: 24
    ∑x sub T: 87
    (∑x sub T) squared: 7569
    ∑x sub Tsquared: 383
    SS sub T: 67.625
    G: 4
    Df sub b: 3
    Df sub w: 20
    
    (∑x subset1) sqaure: 729
    (∑x subset2) sqaure: 729
    (∑x subset3) sqaure: 441
    (∑x subset4) sqaure: 144
    SS sub b: 49.125
    F critical value: 3.10
    Between group mean of squares: 16.375
    Within group mean of squares: .925
    
    Calculate F:

    1. A17.703
    2. B16.375
    3. C15.45
    4. D17.3
55. 55A Research scientist is interested in testing the effectiveness of various types of psychotherapy in the treatment of depression. She randomly selects from a group who've recently sought counseling at a local health center. She randomly assigns them to 1 of 4 treatment conditions.
    
    The 1st condition is a control condition (the client meets w/therapist but they chit-chat... no form of psychotherapy is administered). Group 2,3,&4 receive recognized forms of psychotherapy.
    
    After 1 month of treatments, she gives a standardized measure of depressive symptoms (1= not depressed... 10= highly depressed). The data are shown below. Are any of the psychotherapeutic treatments significantly more effective in reducing measured levels of depressive symptoms. Please use alpha of .05.
    
    control (no treatment): 5 6 4 2 4 6
    treatment #1: 6 5 4 4 6 2
    treatment #2: 4 5 1 3 3 5
    treatment #3: 4 1 2 1 3 1
    
    xbar subset1: 4.5
    xbar subset2: 4.5
    xbar subset3: 3.5
    xbar subset4: 2
    
    ∑x subset1: 27
    ∑x subset2: 27
    ∑x subset3: 21
    ∑x subset4: 12
    
    Calculate the ∑xsquared values
    
    ∑xsquared subset1: 133
    ∑xsquared subset2: 133
    ∑xsquared subset3: 85
    ∑xsquared subset4: 32
    
    N subT: 24
    ∑x sub T: 87
    (∑x sub T) squared: 7569
    ∑x sub Tsquared: 383
    SS sub T: 67.625
    G: 4
    Df sub b: 3
    Df sub w: 20
    
    (∑x subset1) sqaure: 729
    (∑x subset2) sqaure: 729
    (∑x subset3) sqaure: 441
    (∑x subset4) sqaure: 144
    SS sub b: 49.125
    F critical value: 3.10
    Between group mean of squares: 16.375
    Within group mean of squares: .925
    Omnibus F: 17.703
    
    Based on the information above, our decision would be to:

    1. Aaccept the null and stop
    2. Baccept the null and continue with post hoc tests
    3. Creject the null and stop
    4. Dreject the null and continue with post hoc tests
56. 56The most conservative alpha level (or p value) is .05

    1. ARichtig
    2. BFalsch
57. 57The most conservative alpha level (or p value) is

    1. A.001
    2. B.05
    3. C.01
58. 58What are the four Post Hoc tests

    1. ATukey, Sheffé, Dunnett, Bonferroni
    2. Bcorrelated t, independent sample t, f test, chi test
    3. CTurkey, Souffle, Donut, Beefaroni
59. 59We partition total variation into separate variation components when computing what?

    1. APoint Estimation
    2. BOmnibus F
    3. CWithin Group Variation
    4. DSum of Squares
60. 60Which is a test of independence used to determine if two categorical variables are independent of each other.

    1. ATwo-Way Chi Squared
    2. BTwo independent sample T test
    3. CMultivariate ANOVA
    4. DRepeated measures ANOVA
61. 61The most widely utilized set of inferential procedures in science is

    1. AHypothesis testing
    2. BPoint Estimation
    3. CInterval Estimation
    4. DCorrelated T test
62. 62The frequencies we expect to achieve if the null hypothesis is true is the

    1. Aobserved frequency
    2. Bexpected frequency
    3. Cmedian frequency
    4. Dtotal frequency
63. 63to calculate the degrees of freedom for a Two-way Chi Square test we use which calculation?

    1. AN-1
    2. B(#of rows-1)x(#of columns-1)
    3. Cnsquared-2
    4. D(∑row x ∑column) / n
64. 64When computing an ANOVA the null and alternative hypothesis are

    1. AH sub 0: f sub o = f sub e ; H sub 1: f sub o ≠ f sub e
    2. BH sub 0: µ sub 1 = µ sub 2 ; H sub 1: µ sub 1 ≠ µ sub 2
    3. CH sub 0: xbar = µ ; H sub 1: xbar ≠ µ
    4. DH sub 0: P = 0 ; H sub 1: P ≠ 0
65. 65The null and alternative hypothesis for a Two-way Chi Squared test are written as:

    1. AH sub 0: f sub o = f sub e ; H sub 1: f sub o ≠ f sub e
    2. BH sub 0: µ sub 1 = µ sub 2 ; H sub 1: µ sub 1 ≠ µ sub 2
    3. CH sub 0: xbar = µ ; H sub 1: xbar ≠ µ
    4. DH sub 0: P = 0 ; H sub 1: P ≠ 0
66. 66What is the major difference between an ANOVA and a 2 independent sample T test

    1. AAn ANOVA compares the means of 3 or more groups, and a T test is only 2 groups
    2. BThe T test compares 3 or more groups and the ANOVA only compares 2
    3. CThere is no difference between an ANOVA and a 2 independent sample T test
67. 67If a court decides that a defendant is guilty, when in fact they were not, they have committed a Type 1 error

    1. ARichtig
    2. BFalsch
68. 68If we calculate a non-significant omnibus F we would continue to the Post HOC testing to determine why

    1. ARichtig
    2. BFalsch
69. 69The a scientist accepts the null hypothesis, but the null hypothesis is FALSE they have committed a Type 1 error

    1. ARichtig
    2. BFalsch
70. 70We calculate a Chi squared critical value of 9.488 and a Chi squared value of 31.88, therefor we would

    1. Areject the null
    2. Baccept the null
71. 71What test has an omnibus F, has 1 factor and 1 dependent variable and is looking for significant difference between the means of 3 or more groups

    1. AOne Way Analysis of Variance (ANOVA)
    2. BMultivariate Analysis of Variance (MANOVA)
    3. CTwo Way Analysis of Variance (Factorial ANOVA)
    4. DRepeated measure ANOVAs
72. 72What are the three F values of Two Way Analysis of Variance (Factorial ANOVA)

    1. AA Main effect, B Main effect, Interaction effect or A x B effect
    2. BF critical value, omnibus F, Fishers F
    3. Cbetween group F, within group F, total F
    4. DNone of the above
73. 73What is the grouping variable in ANOVA in an experiment or non-experiment test called

    1. AFactor
    2. BOmnibus F
    3. Cµ
    4. DChi squared
74. 74[blank_start]Multivariate Analysis of Variance MANOVA[blank_end] - 1 factor, 2 or more dependent variables
    [blank_start]2 Way Analysis of Variance Factorial[blank_end] - has 2 factors (I.V) and 1 dependent variable
    [blank_start]One Way Analysis of Variance[blank_end] - has an omnibus F, has 1 factor and 1 dependent variable
    [blank_start]Analysis of Covariance ANCOVA[blank_end] - a hybrid ANOVAthat uses a “covariate"

    1. AMultivariate Analysis of Variance MANOVA
    2. B2 Way Analysis of Variance Factorial
    3. COne Way Analysis of Variance
    4. DAnalysis of Covariance ANCOVA
75. 75MANOVA is a hybrid ANOVAthat uses a “covariate"

    1. ARichtig
    2. BFalsch
76. 76The statistical power is a function of four things:
    1. [blank_start]mean difference[blank_end]
    2. [blank_start]sample size[blank_end]
    3. [blank_start]within group variability[blank_end]
    4. [blank_start]alpha[blank_end]

    1. Amean difference
    2. Bpearson r
    3. Cnormality
    4. Dstandard deviation
    5. Esample size
    6. Frandomness
    7. Gbeta naught
    8. HFisher's F
    9. Iwithin group variability
    10. Jwiggle giggle vampire
    11. Kwithout group viability
    12. Lhomoscedasticity
    13. Malpha
    14. Nbeta
    15. Oindependent observation
    16. Pcentral limit

Beschreibung

This is a quiz to use a s a test review for Dr. Strale's STA2023 Elementary Statistics Exam #4

Autor

Emily Dailey

Sprache

English

Aufrufe

20

Schlagwörter

statisticselementary statisticscollege statisticsintroduction to statisticsindian river state collegedr. stralebusiness/economics

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