Inferential Statistics Analysis and Writeup
Assignment #3 – Inferential Statistics Analysis and Writeup
Dwight Wallace
Class: STAT 200 Spring
Instructor:
Date: May 1, 2021
Part A – Inferential Statistics Data Plan Analysis
Introduction: I am 35 years old, married, and have three children with a household annual income of $114000. I have a Masters degree in in Business Management. $113,000 is spent on food and $481 is spent on education.
Table 1 – Variables Used for the Analysis
Data Set Variables  Variable type  Description  Quantitative or Qualitative 
Variable 1 – Marital status  Socioeconomics  Married with three children  Qualitative 
Variable 2 – Food expenses  Expenses  Annual food expenses  Quantitative

Variable 2 – Education  Expenses  Annual educational expenses  Quantitative 
Data Analysis
Table 2: Confidence Interval Information and Results
Variable – Education 
Education is the random variable expense for my household for 2020 and parameter is mean expenses on education for the household during 2020. 
The Ttest is used for creating the confidence interval with # of observations >=30, with the provided sample distributed normally and selected randomly, which will provide the confidence interval true range. 
Educational expenses is taken randomly. 
Excel is the method used for analyzing the data 
Sample mean – 348.3
Confidence Interval = 
A 95% probability that the population mean is likely to be between lower limitations 278.31 and higher limitations of 418.29 
Table 3
Question: Is the mean food annual expenditures lower for married households or the household of a single person? 
Two ttest samples used for independent variables. The purpose of using the two ttest it can efficiently compare the mean of 2 different samples with a sample size of 30, which means that a onetailed test could be used. 
X_{1} = Food expenses for single person household
X_{2} = Food expenses for married households µ_{1} = mean of food expenses for a single household µ_{2} = mean of food expenses for a married household 
H_{o}: µ_{1 = }µ_{2}
H_{o}: µ_{1 = }µ_{2 }< 0 Significance level: 0.05

Excel is the method used for analyzing data 
µ_{1} = 7028.333
µ_{2} = 9535 S_{1} = 75.41757 S_{2} = 990.4596 n_{1} = 15 n_{2} = 15 Statistic test: – t stat = 9.7735 pvalue – 6.2

pvalue of 6.2 Is considered less than the significance level, so the null hypothesis is rejected. 
Part B: Results Write Up
Sample size – 30
Mean (x): 348.30
(x) sample mean – 348.30
(s) sample = 187.45
SEM = 187.4512
30 = 34.224
Mean – 348.30 = 348.30 + 2.045 * 3422
Lower limitations: 278.31
Higher limitations: 418.29
Ttable was used for creating the confidence interval analysis, which guided us to two assumptions. Based on the histogram analysis, the expense variables were distributed normally, and a 95% confidence means for educational expenses is between the lower and upper limitations.
Alternative Hypothesis: A single person household food expenses is significantly lower than that of a married household.
The twosample ttest for independent variables was viewed as the best option for this analysis. The sample size was 25 and distributed randomly, but the expenses were normally distributed, and the groups were independent because the expenses of one household cannot affect the expenses of another household.
The pvalue is considered less than the significance level, and the null hypothesis can be safely rejected. There is a 5% margin of error that a single person household food expenses is less than that of a married household.
Conclusion
The mean of educational expenses is between the lower limitation and the higher limitations. A single person household food expenses is less than that of a married household with 5% marginal error. Also, since we are familiar with the range for the educational expense population, it is safe to say that a married household of 5 food expenses is much higher than that of a single person household.