INFERENTIAL STATISTIC

Inferential Statistics and Findings
Erick Mart
QNT/561
August 25th 2014
Mario LOPEZ

Inferential Statistics and Findings
Inferential Statistic is the process of drawing conclusions from data that are subject to random variation, for example, observational errors or sampling variation. Our team uses inferential statistic to compare two groups, which are Melks and DHL. This paper outlines the sampling and data collection procedure used to test the null hypothesis. The null and alternate hypotheses are: (There is no significant difference in brand awareness based on the marketing channel used). (There is a significant difference in brand awareness on the basis of the marketing channel used).
Here is an example of the statistics of our results describing the total number of people from minimum age to maximum from ages 35 to 55. Mock data for the independent variables for Melks. Descriptive statistics

Income
Age

Count
300
300

Mean
56,426.45
45.91

sample standard deviation
3,876.30
7.23

sample variance
15,025,706.87
52.29

Minimum
50000
34

Maximum
60000
55

Range
10000
21

confidence interval 95.% lower
54,135.75
41.64

confidence interval 95.% upper
58,717.16
50.18

half-width
2,290.71
4.27

z
1.96
1.96

confidence interval 95.% lower
53,822.32
41.05

confidence interval 95.% upper
59,030.59
50.77

half-width
2,604.13
4.86

t(df = 10)
2.228
2.228

1st quartile
54,509.00
41.00

Median
57,034.00
48.00

3rd quartile
59,605.50
50.50

interquartile range
5,096.50
9.50