Quiz
STA2023 Exam 4
This quiz has question types that open in the usual player.
Questions in this quiz (76)
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.
- ATrue
- BFalse
2A series of procedures in which sample data are used to make statements about the populations.
- AStatistical Inference
- BDescriptive Statistics
- CInferential Statistics
- DRandom Sample
- ENone of the above
3The Symbol for a Type 2 error is
- Aß
- B1-ß
- CPearson r
- Dµ
4We commit a Type II error when
- Awe reject the alternative when we should have accepted it
- Bwe accept the null when we should have accepted it
- Cwe fail to reject the null when we should have accepted it.
5We calculate an f critical value of 2.15 and a t of 2.17. Based on this information we would accept the null.
- ATrue
- BFalse
6Statistical Power is a function of what four things?
- ASample size (n)
- BRandomness
- CMean difference
- DIndependent observations
- EAlpha
- FNormality
- GWithin Group Variability (WGV)
7One-Way ANOVAs have what four assumptions?
- AHomoscedasticity, Within Group Variability, Alpha, and Normality
- BRandomness, Normality, Homoscedasticity, and Independent Observations
- CConfidence Interval, Independent Observations, Within Group Variability, and Normality
8A one-tailed test is also referred to as
- Aone-tailed probablity
- Bone-tailed hypothesis
- Cnon directional test
- Ddirectional test
9A one-tailed test is considered more scientifically credible
- ATrue
- BFalse
10The alternative hypotheses states that there is a significant difference between group means and/or the relationship that is real and significant.
- ATrue
- BFalse
11The goal of hypothesis testing is to accept the null and reject the alternative.
- ATrue
- BFalse
12If p< alpha we:
- Areject the null
- Baccept the null
13sampling error is the distance of any sample mean from µ
- ATrue
- BFalse
14If we reject the null hypothesis what happens to the p region of the standard distribution?
- Athe p region increases
- Bthe p region decreases
15If p< alpha we:
- Aaccept the null
- Breject the null
16What type of ANOVA is used for tracking longitudinal databases?
- ARepeated Measures ANOVA
- BANCOVA - Analysis of Covariance
- CMANOVA - Multivariate analysis of variance
- DFactorial ANOVA
17Statistical power is represented by what symbol
- A1-ß
- Balpha
- C∑
- Dµ
18An ANOVA is a test of independence used to determine if two categorical variables are independent of each other.
- ATrue
- BFalse
19A researcher is measuring the impact on the same dependent variable for two different groups. Which would be the best test to run?
- Atwo independent sample t test
- Bcorrelated t test
20Hypothesis testing is the most widely utilized set of inferential procedures in science.
- ATrue
- BFalse
21Which category of Inferential Statistics are we employing when we are testing if a belief or claim about a population parameter is true?
- APoint Estimation
- BInterval Estimation
- CAll of the above
- DHypothesis Testing
- ENone of the above
22What are the steps within the Repeated Measures Design?
- AExperiment, Sample, Point Estimation
- BPretest, Experiment, Post test, Difference
- CHypothesis, Sample, Difference, Test
23The mean of the xbars on a sampling distribution equals
- Aµ
- Bß
- C1-ß
- Dnone of the above
24When we take a sample statistic and automatically conclude that it is, indeed, the corresponding population parameter we are using:
- AInterval Estimation
- BPoint Estimation
- CStatistical Hypothesis
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:
- AThe Central Limit Theorem
- BInterval Estimation
- CSampling Distibution
26What is the calculation for sampling distribution?
- Athe distance from any sample mean from µ
- Bthe difference between Pearson r and rho
- Cthe difference between sigma and s
- Dnone of the above
27Power decreases as as mean difference increases
- ATrue
- BFalse
28As Sampling size decreases, power increases
- ATrue
- BFalse
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 ?
- AThe sample size increases
- BThe sample size decreases
- CThe statistical power increases
- DThe statistical power decreases
30Our alpha is = to .05, we can assume that p=
- A.01
- B.025
- C.05
- D5
31WGV is a function of statistical power and it refers to
- AWithin Group Variability
- BWithin Group Viability
- CWillingness Group
32Sampling Error is the distance from any sample mean to mu
- ATrue
- BFalse
33Before we run any statistical test p ≠ alpha
- ATrue
- BFalse
34What is the appropriate statistical test to use when we have two independent sample groups
- Acorrelated t test
- Btwo independent sample t test
- CANOVA
- Dpoint estimation
35The most unique difference between repeated measures and other experimental designs is that in repeated measures, subjects serve as their own control.
- ATrue
- BFalse
36When µ is known and sigma is known what calculation do you use?
- Acorrelated t test
- Bz test
- Ctwo independent sample t
- Dinterval estimation
37Sigma is known and s is given, so we will use the:
- Aone sample t test
- Bz test
- Ccorrelated t test
- Dstandard deviation
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]
- AHsub0: rho = 0
- BHsub0: rho ≠ 0
- CHsub0: rho ≠ Pearson r
- DHsub1: rho ≠ 0
- EHsub1: rho ≠ Pearson r
39In a correlated t test the null hypothesis would be what?
- AHsub0: µpre = µpost
- BHsub0: µsub d bar = 0
- CHsub1: µpre = µpost
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?
- ABecause we had a large enough sample size
- BBecause the sample was randomized
- CBecause IRSC is a diverse school and represents various subsets of the female population
- DWe cannot generalize these results
41To calculate the degrees of freedom for a t test calculate n - 1
- ATrue
- BFalse
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.
- ATrue
- BFalse
43Vets tested the effectiveness of wet food on cavities and gum disease in cats.
- AThis is a correlated t test
- BThis is a two tailed independent t test
- CThis is a sampling distribution
- DAll of the above
- ENone of the above
44In two tailed hypothesis test the two critical values divide the area under the sampling distribution into
- Ainto two rejection and one nonrejection regions
- Binto two rejection and two nonrejection regions
- Cinto one rejection and two nonrejection regions
- Dinto one rejection and one nonrejection regions
45We have accepted a Null. What is the chance that we achieved a Type 2 error (ß)
- A5%
- B1%
- CWe do not calculate a numerical value for a Type 2 error
- DNone of the above
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- AChi Squared Test
- BOne sample T Test
- COne Way ANOVA
- DAn ANCOVA
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]- A4.5
- B4.5
- C3.5
- D2
- E27
- F27
- G21
- H12
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]- A133
- B133
- C85
- D32
- E24
- F87
- G7569
- H383
- I383
- J7569
- K24
- L67.625
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- A4
- B3
- Cn-1
- D5
- E24
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]- AG-1
- BG
- CNsubT-1
- D3
- E5
- F23
- GNsubT-G
- HNsubT-1
- IG-n
- J20
- K23
- L18
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]- A729
- B729
- C441
- D144
- E7569
- F49.125
- G24
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:- A3.10
- B2.38
- C8.66
- D5.18
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:
- A3
- B49.125
- C20
- D67.625
- E18.5
- F23
- G16.375
- H.925
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:- A17.703
- B16.375
- C15.45
- D17.3
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:- Aaccept the null and stop
- Baccept the null and continue with post hoc tests
- Creject the null and stop
- Dreject the null and continue with post hoc tests
56The most conservative alpha level (or p value) is .05
- ATrue
- BFalse
57The most conservative alpha level (or p value) is
- A.001
- B.05
- C.01
58What are the four Post Hoc tests
- ATukey, Sheffé, Dunnett, Bonferroni
- Bcorrelated t, independent sample t, f test, chi test
- CTurkey, Souffle, Donut, Beefaroni
59We partition total variation into separate variation components when computing what?
- APoint Estimation
- BOmnibus F
- CWithin Group Variation
- DSum of Squares
60Which is a test of independence used to determine if two categorical variables are independent of each other.
- ATwo-Way Chi Squared
- BTwo independent sample T test
- CMultivariate ANOVA
- DRepeated measures ANOVA
61The most widely utilized set of inferential procedures in science is
- AHypothesis testing
- BPoint Estimation
- CInterval Estimation
- DCorrelated T test
62The frequencies we expect to achieve if the null hypothesis is true is the
- Aobserved frequency
- Bexpected frequency
- Cmedian frequency
- Dtotal frequency
63to calculate the degrees of freedom for a Two-way Chi Square test we use which calculation?
- AN-1
- B(#of rows-1)x(#of columns-1)
- Cnsquared-2
- D(∑row x ∑column) / n
64When computing an ANOVA the null and alternative hypothesis are
- AH sub 0: f sub o = f sub e ; H sub 1: f sub o ≠ f sub e
- BH sub 0: µ sub 1 = µ sub 2 ; H sub 1: µ sub 1 ≠ µ sub 2
- CH sub 0: xbar = µ ; H sub 1: xbar ≠ µ
- DH sub 0: P = 0 ; H sub 1: P ≠ 0
65The null and alternative hypothesis for a Two-way Chi Squared test are written as:
- AH sub 0: f sub o = f sub e ; H sub 1: f sub o ≠ f sub e
- BH sub 0: µ sub 1 = µ sub 2 ; H sub 1: µ sub 1 ≠ µ sub 2
- CH sub 0: xbar = µ ; H sub 1: xbar ≠ µ
- DH sub 0: P = 0 ; H sub 1: P ≠ 0
66What is the major difference between an ANOVA and a 2 independent sample T test
- AAn ANOVA compares the means of 3 or more groups, and a T test is only 2 groups
- BThe T test compares 3 or more groups and the ANOVA only compares 2
- CThere is no difference between an ANOVA and a 2 independent sample T test
67If a court decides that a defendant is guilty, when in fact they were not, they have committed a Type 1 error
- ATrue
- BFalse
68If we calculate a non-significant omnibus F we would continue to the Post HOC testing to determine why
- ATrue
- BFalse
69The a scientist accepts the null hypothesis, but the null hypothesis is FALSE they have committed a Type 1 error
- ATrue
- BFalse
70We calculate a Chi squared critical value of 9.488 and a Chi squared value of 31.88, therefor we would
- Areject the null
- Baccept the null
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
- AOne Way Analysis of Variance (ANOVA)
- BMultivariate Analysis of Variance (MANOVA)
- CTwo Way Analysis of Variance (Factorial ANOVA)
- DRepeated measure ANOVAs
72What are the three F values of Two Way Analysis of Variance (Factorial ANOVA)
- AA Main effect, B Main effect, Interaction effect or A x B effect
- BF critical value, omnibus F, Fishers F
- Cbetween group F, within group F, total F
- DNone of the above
73What is the grouping variable in ANOVA in an experiment or non-experiment test called
- AFactor
- BOmnibus F
- Cµ
- DChi squared
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"- AMultivariate Analysis of Variance MANOVA
- B2 Way Analysis of Variance Factorial
- COne Way Analysis of Variance
- DAnalysis of Covariance ANCOVA
75MANOVA is a hybrid ANOVAthat uses a “covariate"
- ATrue
- BFalse
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]- Amean difference
- Bpearson r
- Cnormality
- Dstandard deviation
- Esample size
- Frandomness
- Gbeta naught
- HFisher's F
- Iwithin group variability
- Jwiggle giggle vampire
- Kwithout group viability
- Lhomoscedasticity
- Malpha
- Nbeta
- Oindependent observation
- Pcentral limit
Information
- Description
- This is a quiz to use a s a test review for Dr. Strale's STA2023 Elementary Statistics Exam #4
- Author
- Emily Dailey
- Language
- English
- Views
- 20
- Tags
- Rating
- No ratings yet Rate this quiz