Reference no: EM13923197
Part I:
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.
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 I?
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
Part II:
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
Part III:
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
Part IV:
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