Above frequency table shows that the values, 22, 23, and 24 have maximum frequencies in the data.
(b)
Comments on histogram
Histogram shows that data is negatively skewed as most of the bars of histogram falls on the right side and maximum values are between 20 and 30.
Q.2(a) solution:
Comments on histograms:
Histograms show a significant change in unit sales for vehicles from March 2006 to March 2007. As the above diagram shows that there is a consistency in the sales in earlier months of year 2007 but at the end i.e. in Feb and March sales have shoot up to a record level.
Question 3 Solution: (a)
Statistics
graduates
non-graduates
N
Valid
10
10
Missing
0
0
Mean
2.1300E4
14600.0000
Median
2.1000E4
14500.0000
Percentiles
25
1.7750E4
12750.0000
50
2.1000E4
14500.0000
75
2.4750E4
16250.0000
(b)
Statistics
graduates
non-graduates
N
Valid
10
10
Missing
0
0
Std. Deviation
4.16467E3
2366.43191
Range
13000.00
8000.00
(c) Above table shows a significant difference in the annual salaries of graduates and non graduates, as the salaries of graduates are more than double as compared with the salaries
Of the non graduates.
Q4 solution: (a)
Statistics
waiters
waitresses
N
Valid
4
4
Missing
6
6
Mean
30.0000
7.5000
Median
30.0000
8.0000
Std. Deviation
1.29099E1
3.41565
Range
30.00
8.00
(b)
There is no proper shape of distribution to be followed but majority of points fall near to centre diagonal so we can use normal distribution.
Above table shows mean greater than median means that the variables are independetly distributed.
ONEWAY Stateanxiety Traitanxiety BY thinkingstyle
/MISSING ANALYSIS.
Oneway ANOVA
ANOVA
Sum of Squares
df
Mean Square
F
Sig.
Stateanxiety
Between Groups
24.709
2
12.354
.322
.726
Within Groups
2183.891
57
38.314
Total
2208.600
59
Traitanxiety
Between Groups
152.092
2
76.046
1.583
.214
Within Groups
2737.908
57
48.033
Total
2890.000
59
Analysis of variance shows that .021 and .726 are greater than p value so we will reject our null hypothesis and conclude that there is both the variables are significant at 0.05% level of significance.
NPar Tests
Descriptive Statistics
N
Mean
Std. Deviation
Minimum
Maximum
Stateanxiety
60
52.3000
6.11832
41.00
74.00
Traitanxiety
60
54.0000
6.99879
37.00
68.00
Test Statistics
Stateanxiety
Traitanxiety
Chi-Square
22.967a
50.400b
df
18
22
Asymp. Sig.
.192
.001
a. 19 cells (100.0%) have expected frequencies less than 5. The minimum expected cell frequency is 3.2.
b. 23 cells (100.0%) have expected frequencies less than 5. The minimum expected cell frequency is 2.6.
Chi-square value calculated from data is 50.400 which is greater than p-value.
REGRESSION
/MISSING LISTWISE
/STATISTICS COEFF OUTS R ANOVA CHANGE
/CRITERIA=PIN(.05) POUT(.10)
/NOORIGIN
/DEPENDENT thinkingstyle
/METHOD=ENTER Stateanxiety Traitanxiety
/RESIDUALS NORM(ZRESID).
Variables Entered/Removedb
Model
Variables Entered
Variables Removed
Method
1
Traitanxiety, Stateanxietya
.
Enter
a. All requested variables entered.
b. Dependent Variable: thinkingstyle
ANOVAb
Model
Sum of Squares
df
Mean Square
F
Sig.
1
Regression
.074
2
.037
.064
.938a
Residual
32.926
57
.578
Total
33.000
59
a. Predictors: (Constant), Traitanxiety, Stateanxiety
b. Dependent Variable: thinkingstyle
There is a positive reltionship and dependence b/w both the variales.
Residuals Statisticsa
Minimum
Maximum
Mean
Std. Deviation
N
Predicted Value
1.4313
1.6089
1.5000
.03553
60
Residual
-.60886
1.51210
.00000
.74703
60
Std. Predicted Value
-1.933
3.064
.000
1.000
60
Std. Residual
-.801
1.990
.000
.983
60
a. Dependent Variable: thinkingstyle
GRAPH
/SCATTERPLOT(BIVAR)=Traitanxiety WITH Stateanxiety BY thinkingstyle
/MISSING=LISTWISE.
Scatter plot
There is no proper shape of distribution to be followed but majority of points fall near to centre diagonal so we can use normal distribution.
CORRELATIONS
/VARIABLES=Stateanxiety Traitanxiety
/PRINT=TWOTAIL NOSIG
/MISSING=PAIRWISE.
Correlations
Stateanxiety
Traitanxiety
Stateanxiety
Pearson Correlation
1
.401**
Sig. (2-tailed)
.002
N
60
60
Traitanxiety
Pearson Correlation
.401**
1
Sig. (2-tailed)
.002
N
60
60
**. Correlation is significant at the 0.01 level (2-tailed).
There is very strong correlation b/w both the varibles and we can say it a perfect correlation.