Question

One Sample Statistics

	N	Mean	Std. Deviation	Std. Error Mean
Blood Alcohol Content at last drinking episode	3522	.0341	.05901	.00099

One-Sample Test

Test Value = 0.037    95% confidence interval of the difference

	t	df	Sig. (2-tailed)	Mean difference	Lower	Upper
Blood Alcohol Content at last drinking episode	-2.909	3521	.004	-.00289	-.0048	-.0009

This question has 9 parts. Each of the 9 parts (Part A - Part I) has a dropdown list of possible answers. Choose the best answer from the dropdown list for EACH part of the question below.

Open the "Lab Dataset" (HSCI390.sav) you have been using for lab workbook and homework assignments in SPSS.

Your analysis will focus on the variable "Blood Alcohol Content at last drinking episode" (BAC).

Note: Be careful NOT to use the variables RBAC1 and RBAC2

Researchers are interested in how the average Blood Alcohol Content (BAC) at last drinking episode of students at CSUN compares to the reported average from similar universities. To examine their research question of interest, they will use data from the sample of CSUN students contained in the HSCI390.sav dataset. Using SPSS, test whether students at CSUN appear to have a different Blood Alcohol Content at last drinking episode than the reported average from similar universities of 0.037, using an alpha level (α) of 0.05. Provide the following information:

You will use the information above to complete the question parts below.

Part A: Which of the following represents the appropriate null hypothesis (H₀), given this research question of interest?

PART A ANSWER: H₀:                            [ Select ]                       ["µ = 0.042", "µ = 0.037", "µ = 28.29", "µ ≠ 0", "µ ≤ 0"]      

Part B: Which of the following represents the appropriate alternative hypothesis (H₁), given this research question of interest?

PART B ANSWER: H₁:                            [ Select ]                       ["µ ≠ 0.037", "µ ≠ 28.29", "µ = 0", "µ ≠ 0.042", "µ > 0"]      

Part C: What is the mean Blood Alcohol Content (BAC) at last drinking episode of your sample?

PART C ANSWER:                            [ Select ]                       ["21.30", "0.0221", "0.0341", "0.0457", "0.0984"]      

Part D: What is your sample size used for analysis?

PART D ANSWER:                            [ Select ]                       ["4823", "3522", "3008", "5361", "3561"]      

Part E: What is your t statistic?

PART E ANSWER:                             [ Select ]                       ["-3.512", "-2.267", "1.781", "-8.161", "-2.909"]      

Part F: What is your degrees of freedom?

PART F ANSWER:                             [ Select ]                       ["3560", "3007", "3521", "4822", "629"]      

Part G: What is the p-value associated with your test statistic?

PART G ANSWER:                             [ Select ]                       ["0.381", "0.004", "0.023", "1.344", "0.879"]      

Part H: What is your decision about the null hypothesis based on your test results?

PART H ANSWER:                             [ Select ]                       ["Reject the null", "Fail to reject (i.e., retain) the null"]      

Part I: The best interpretation of the appropriate decision regarding the null hypothesis would be: "Based on our study, we                            [ Select ]                       ["have", "do NOT have"]         enough evidence to conclude that the population of students at CSUN appear to have a different average Blood Alcohol Content at last drinking episode than the reported average from similar universities."

Answer 1

We have used the given output to answer the 9-part question.