Given the information below and table attached, fill out the bullets labeled as table 3 for the water cost variable.

1. Task : Select Two Sample Hypothesis Test. Using the water expenditure variable (with the Marital Status variable as the grouping variable), select and run the appropriate method for making decisions about two parameters relative to observed statistics (i.e., two sample hypothesis test method). Complete Table 3: Two Sample Hypothesis Test Analysis, which follows the format outlined by Kozak and the course’s problem-solving approach, including:
• ○ Hypotheses (null and alternative).
• ○ Two sample hypothesis testing method, including rationale and assumptions
• ○ Method used for analyzing data (i.e., web applets, Excel, TI calculator, etc.).
• ○ Results obtained.
• ○ Interpretation (i.e., Reject the null hypothesis OR Fail to reject null hypothesis)

Hypothesis Testing: Using the expenditure variable Water (using Marital Status variable as the grouping variable for making two groups), select and run the appropriate method for making decisions about two parameters relative to observed statistics (i.e., two sample hypothesis testing method) and complete the following table (Note: Format follows Kozak outline):

Table 3: Two Sample Hypothesis Test Analysis

• Research Question:
• Two Sample Hypothesis Test that Will Be Used and Rationale for Using It:
• State the Random Variable and Parameters in Words:
• State Null and Alternative Hypotheses and Level of Significance:
• Method Used to Analyze Data:
• Find the sample statistic, test statistic, and p-value:
• Conclusion Regarding Whether or Not to Reject the Null Hypothesis:

Variable: Water

N= 30

Mean= \$626.93

Sample Standard Deviation= 100.89

Variable: Marital Status

N= 30 Mode= Married/Not Married (15 each)

The water expenditure for the entire sample has a positive skew with 53% of the sample spending less than \$570 on water. All not married individual’s households spend less than \$560 on water. 93% of the married households spend more than \$580 on water.

Mean was used for the measure of central tendency because it shows the average of the water expenditure per household and the variable is quantitative. Sample standard deviation was used because the variable is quantitative and is a sample from a larger population, so it would best show the measure of dispersion.

• Attachment 1
• Attachment 2

SE-MaritalStatus NotMarried 97681NotMarried 96727NotMarried 95432NotMarried 96928NotMarried 94929NotMarried 95744 NotMarried 95366 NotMarried 96697 NotMarried 96572NotMarried 96653NotMarried 96664NotMarried 96621 NotMarried 96886 56124 166761639116701 1451 1465 555 4:. 51 _I. 55120 43 55932 59 55247 18483 52 55963 18435 48 57082 18576 1478 538 56453 18520 5 4516646 146016636 1470 3553 59 I’D 56515 01 1 56488 01 3 03 55558 18502 1478 5 54 55746 1 81 49 1 455 54023 55321 18312 1450 5NotMarried 96244 56 56051 18484 1457 539NotMarried 94867 a. 55512 18633 1485 Married 96351 ‘2]— 76556 26513 1342 Married 109312 -. 60601 25392 1514- Married mmMarriedMarriedMarried 61419 1421 719 Married 95706 71 597 1315Married 110651 83766Married 98491 75996 44 223762289926283 7541326 620 N U1 U1