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
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