Lab 3
Adam M. Gillis (201003717)
Activity 1
Independent Samples Test
Levene's
t-test for Equality of Means
Test for
Equality of
Variances
F
Sig.
t
df
Sig. (2-
Mean Difference
tailed)
Equal variances assumed
.118
.732
Std. Error
Difference
95% Confidence Interval of the Difference
Lower
Upper
-1.618
98
.109
-640.000
395.554
-1424.964
144.964
-1.618
97.999
.109
-640.000
395.554
-1424.964
144.964
PRICE
Equal variances not assumed
This concludes that we are 95% confident that the difference between the population mean retail prices of the automobile model for
the 2 countries is between -1424.964 and 144.964.
P- Value = .109  t = - 1.618
Because P-Value= .109, and this is greater than α = 0.05 we fail to reject the null hypothesis.
Activity 2
Paired Samples Test
Paired Differences
Mean
Std. Deviation
Std. Error Mean
t
df
Sig. (2-tailed)
99% Confidence Interval of the
Difference
Lower
Pair 1
MALE - FEMALE
400.000
434.613
137.437
-46.647
Upper
846.647
2.910
9
This concludes that we are 99% confident that the true mean difference between the starting salaries of males and females is between 46.647 and 846.647.
P-Value = .017  t = 2.910
Because P-Value = 0.017 is greater than α = 0.01 we fail to reject the null hypothesis.
.017
Activity 3
Coefficientsa
Model
Unstandardized Coefficients
Standardized
t
Sig.
Coefficients
B
(Constant)
Std. Error
-.100
.635
.700
.191
Beta
-.157
.885
3.656
.035
1
ADVEXP_X
.904
a. Dependent Variable: SALES_Y
Taken from text: For every unit increase of x, the mean value of y is estimated to increase by .7 units. Therefore, for every $100
increase in advertising, the mean sales revenue is estimated to increase by $700 over the sampled range of advertising expenditures
from $100 to $500.