BA-3400: Quantitative Methods - II QUIZ-5 complete work 100% Satisfaction Guaranteed!

BA-3400: Quantitative Methods - II
QUIZ-5 (10 points), Due Date: Aug 4th, 2015

Instructions:
This quiz has a total of 20 multiple choice questions (MCQ) half point each. All questions are compulsory. Some questions have up to 5 alternatives, while other questions have fewer alternatives but there is only one correct answer. Consider all alternatives before selecting the best one in your opinion. You will have 60 minutes to complete this once started online to submit your responses, through the submission link on BB, with a maximum of 2 attempts to improve your score. It is advised you fist complete the quiz below at your convenience & time, select the responses and then attempt to submit the responses on line. Questions are based on sets of SPSS tables as mentioned.

SPSS Tables Set-1
T-Test
Group Statistics
    Gender    N    Mean    Std. Deviation    Std. Error Mean
feelsafe    Male    58    3.98    .868    .114
    Female    62    3.50    1.020    .130

    Levene's Test for Equality of Variances    t-test for Equality of Means
    F    Sig.    t    df    Sig. (2-tailed)    Mean Difference    Std. Error Difference    95% Confidence Interval of the Difference
                                Lower    Upper
feelsafe    Equal variances assumed    3.406    .067    2.782    118    .006    .483    .174    .139    .826
    Equal variances not assumed            2.797    116.981    .006    .483    .173    .141    .825

1. What type of test is reported in the above SPSS Tables Set-1?
a. one-sample t test
b. paired sample t test
c. independent sample t test
d. dependent sample t test
e. unpaired sample t test

2. What are the respective sample means on “feelsafe” (Importance of Safety) for males and females from the SPSS Tables Set-1, when visiting a sports bar?
a. 58 and 62
b. .751 and .389
c. -2.118 and -2.065
d. 1.47 and 1.35
e. 3.98 and 3.50

3. Based upon the SPSS Tables Set-1, and the respective F and p values in the Levene’s Test for Equality (Homogeneity) of Variances between the two groups males and females, what should we assume to interpret t test for importance of safety, about the variances among the two groups?
a. Equal variances assumed
b. Equal variances not assumed

4. What are the respective t and p values for the difference between two groups in importance of safety, from the SPSS Tables Set-1 based on Levene’s Test for Equality (Homogeneity) of variance, in that order?
a. 2.782 and .006
b. -2.065 and .043
c. 2.797 and .006
d. .563 and .560
e. None of above

5. What do the respective t and p values for the difference between males and females in importance of safety, from SPSS Tables Set-1, based on Levene’s Test for Equality (Homogeneity) of variance, tell you about the differences?
a. significant difference
b. no significant difference

SPSS Tables Set-2
One-way ANOVA (SPSS Output Tables for One-way ANOVA)

Descriptives
service
    N    Mean    Std. Deviation    Std. Error    95% Confidence Interval for Mean    Minimum    Maximum
                    Lower Bound    Upper Bound        
0-10    18    3.89    1.023    .241    3.38    4.40    2    5
11-15    45    4.31    .763    .114    4.08    4.54    2    5
16-25    38    4.29    .611    .099    4.09    4.49    3    5
26-30    15    4.47    .640    .165    4.11    4.82    3    5
31 or more    4    5.00    .000    .000    5.00    5.00    5    5
Total    120    4.28    .758    .069    4.15    4.42    2    5

ANOVA
service
    Sum of Squares    df    Mean Square    F    Sig.
Between Groups    5.395    4    1.349    2.463    .049
Within Groups    62.971    115    .548        
Total    68.367    119            

Post Hoc Tests
Homogeneous Subsets
service
Duncan
Spend on dinner    N    Subset for alpha = 0.05
        1    2
0-10    18    3.89    
16-25    38    4.29    
11-15    45    4.31    
26-30    15    4.47    4.47
31 or more    4        5.00
Sig.        .084    .082
Means for groups in homogeneous subsets are displayed.
a. Uses Harmonic Mean Sample Size = 11.883.
b. The group sizes are unequal. The harmonic mean of the group sizes is used. Type I error levels are not guaranteed.

Means Plots

6. What are the degrees of freedom (df) for “between the groups” and “within the groups”, respectively in the ANOVA table in SPSS Tables Set-2?
a. 115 and 119
b. 4 and 115
c. 115 and 4
d. 119 and 115

7. The ratio of what two numbers in the ANOVA tables gives you the F value?
a. 4 and 115
b. 12.327 and 106.464
c. 3.082 and .926
d. 1.349 and .548

8. What is the F value and corresponding p value in the ANOVA tables, in that order?
a. 3.329 and .013
b. 3.082 and .926
c. 2.463 and .049
d. 4 and 115

9. Looking at the F value and the corresponding p value in ANOVA table first, how would you interpret the result, without running the Post Hoc tests?
a. There are no significant differences among the spending groups on importance of prices
b. There is at least one significant difference between the groups on importance of prices
c. All groups are different from each other
d. None of the above

10. One meaningful explanation of ANOVA result, assuming scale of 1 to 5 for importance of service in increasing order, on how groups are different on rating importance of service:
a. People who spend >$31 are different from $26-30 spending group
b. People who spend >$31 are different from $0-10 spending group
c. People who spend $11-15 are different from $16-25 spending group
d. People who spend $0-10 are different from $16-25 spending group

SPSS Tables Set-3

Crosstabs (SPSS Output Tables for Chi-square Test)

Case Processing Summary
    Cases
    Valid    Missing    Total
    N    Percent    N    Percent    N    Percent
Spend on lunch * Gender    120    100.0%    0    0.0%    120    100.0%

Spend on lunch * Gender Crosstabulation
    Gender    Total
    Male    Female    
Spend on lunch    0-$10    Count    34    51    85
        Expected Count    41.1    43.9    85.0
        % of Total    28.3%    42.5%    70.8%
    $11-$15    Count    18    11    29
        Expected Count    14.0    15.0    29.0
        % of Total    15.0%    9.2%    24.2%
    $16-$25    Count    5    0    5
        Expected Count    2.4    2.6    5.0
        % of Total    4.2%    0.0%    4.2%
    $31 or more    Count    1    0    1
        Expected Count    .5    .5    1.0
        % of Total    0.8%    0.0%    0.8%
Total    Count    58    62    120
    Expected Count    58.0    62.0    120.0
    % of Total    48.3%    51.7%    100.0%

Chi-Square Tests
    Value    df    Asymp. Sig. (2-sided)
Pearson Chi-Square    10.969a    3    .012
Likelihood Ratio    13.314    3    .004
Linear-by-Linear Association    10.075    1    .002
N of Valid Cases    120        
a.    4 cells (50.0%) have expected count less than 5. The minimum expected count is .48.

11. Of the total (grand total) number of respondents from the cross-tabulation table for Chi-square Test, what is the percentage of males and females in the spending range of $11-$15 for lunch at a restaurant, respectively?
a. 28.3% and 42.5%
b. 48.3% and 51.7%
c. 15.0% and 9.2%
d. 24.2% and 70.8%

12. Is the value of Chi-square (Pearson) significant from the Chi-Square Test tables?
a. No
b. Yes

13. How will you interpret the result of the Chi-Square Test as depicted in the tables between gender and spending on lunch?
a. Gender is associated with spending
b. Gender is not associated with spending

14. How would you interpret this result by looking at the “Bar Chart” for the Chi-Square Test.?
a. Majority of respondents spend up to $15 in a restaurant.
b. Females do not spend more than $15 in a restaurant
c. Comparatively more males spend in $11-15 range than females
d. Comparatively more females spend in $0-10 range than males.
e. All of the above

15. If you were to open a sports restaurant near Louisiana State University campus (where this data was collected from the students), and your average price for a decent lunch is more than $15 per person, what can you expect to happen, in terms of customer traffic:
a. More female customers
b. More male customers
c. Few males but no female customers
d. Few females but no male customers

SPSS Table Set-4

Regression

Descriptive Statistics
    Mean    Std. Deviation    N
visitfre    3.43    1.097    120
prices    3.71    .999    120
location    3.64    .977    120
entertai    3.67    1.040    120
moreroom    3.82    1.004    120
largetv    4.17    .999    120

Correlations
    visitfre    prices    location    entertai    moreroom    largetv
Pearson Correlation    visitfre    1.000    .160    .120    .427    .292    .272
    prices    .160    1.000    .262    .084    .072    .234
    location    .120    .262    1.000    .270    .155    .363
    entertai    .427    .084    .270    1.000    .118    .013
    moreroom    .292    .072    .155    .118    1.000    .291
    largetv    .272    .234    .363    .013    .291    1.000
Sig. (1-tailed)    visitfre    .    .040    .096    .000    .001    .001
    prices    .040    .    .002    .182    .218    .005
    location    .096    .002    .    .001    .045    .000
    entertai    .000    .182    .001    .    .100    .442
    moreroom    .001    .218    .045    .100    .    .001
    largetv    .001    .005    .000    .442    .001    .
N    visitfre    120    120    120    120    120    120
    prices    120    120    120    120    120    120
    location    120    120    120    120    120    120
    entertai    120    120    120    120    120    120
    moreroom    120    120    120    120    120    120
    largetv    120    120    120    120    120    120

Variables Entered/Removeda
Model    Variables Entered    Variables Removed    Method
1    largetv, entertai, prices, moreroom, locationb    .    Enter
a. Dependent Variable: visitfre
b. All requested variables entered.

Model Summary
Model    R    R Square    Adjusted R Square    Std. Error of the Estimate    Change Statistics
                    R Square Change    F Change    df1    df2    Sig. F Change
1    .550a    .302    .272    .937    .302    9.878    5    114    .000
a. Predictors: (Constant), largetv, entertai, prices, moreroom, location

ANOVAa
Model    Sum of Squares    df    Mean Square    F    Sig.
1    Regression    43.325    5    8.665    9.878    .000b
    Residual    100.000    114    .877        
    Total    143.325    119            
a. Dependent Variable: visitfre
b. Predictors: (Constant), largetv, entertai, prices, moreroom, location

Coefficientsa
Model    Unstandardized Coefficients    Standardized Coefficients    t    Sig.
    B    Std. Error    Beta        
1    (Constant)    .069    .564        .122    .903
    prices    .099    .090    .090    1.096    .276
    location    -.154    .100    -.137    -1.536    .127
    entertai    .455    .087    .431    5.251    .000
    moreroom    .204    .090    .186    2.262    .026
    largetv    .265    .097    .241    2.722    .008
a. Dependent Variable: visitfre

16. In the SPSS Tables Set-4 for the Regression Analysis, what is the dependent variable and what is/are the independent variable(s) respectively:
a. visitfre and prices, location, foodtype
b. price and visitfre, entertain, beconvie
c. visitfre and prices, location, entertai, moreroom, largetv
d. location and prices, entertain, feelsafe

17. In the SPSS Tables Set-4 for the Regression Analysis, what % of variance in DV (visitfre) is explained by the IV(s). (Hint- Look for R-Square value as a % of 1 in model summary table)
a. 59.1%
b. 2.6%
c. 18.2%
d. 30.2 %

18. In the SPSS Tables Set-4 for the Regression Analysis, does the data fits the straight line model (Hint- look at the significance of “F” value in ANOVA table).
a. Yes, we can proceed with regression analysis
b. No, we cannot proceed with regression analysis

19. In the SPSS Tables Set-4 for the Regression Analysis, when running a linear regression to find out the impact of “prices, “location”, “entertai”, “moreroom”, and “largetv” (ALL TAKEN TOGETHER) on “visitfre” , what is the regression equation in form of y = c + m1x1 + m2x2 + m3x3 + m4x4+ m5x5 (where y-visitfre, c-constant, x1-prices, m1-slope of prices, x2-location, m2-slope of location, x3-entertai, m3-slope of entertai, x4-moreroom, m3-slope of moreroom, and x5-largety, m5-slope of largetv) depicting this relationship. (Hint- Look at respective values of unstandardized coefficients in the coefficients table)
a. y = 1.792 + 0.414x1 + 0.411x2 + 0.411x3 + 0.411x4 + 0.265x5
b. y = 0.318 + 0.345x1 + 0.191x2 + 0.287x3 + 0.411x4 + 0.265x5
c. y = 0.069 + 0.099x1 - 0.154x2 + 0.455x3 + 0.204x4 + 0.265x5

20. In the regression analysis from SPSS Tables Set-4, what are the degrees of freedom for regression and residuals respectively?
a. 5 and 119
b. 119 and 5
c. 5 and 114
d. 114 and 5