Use SENTENCING.XLS. A codebook with description of the data is on the last page of this document.

Tasks to Complete:

1. Produce a frequency table and a pie chart for RACE. Summarize the results. (Note that 0 = White and 1= Black).

1. Produce the mode, median, mean,standard deviation, variance, range, minimum, and maximum for JAILCREDIT and AGEADMIT.Report the results.

1. Construct a 95% confidence interval around the sample mean of JAILCREDIT and AGEADMIT, respectively. Interpret and summarize your results.

1. Assume that the average age ofoffenders at prison admissions in the state of Florida is 30. Use the data to perform a hypothesis test to determine if the average age of offenders at prison admissions in your sample is significantly different from the average age in the offender population in Florida. The variable that measures the average age of offenders at prison admission is AGEADMIT. Use a .05 level of statistical significance. Run the one-sample t-test inExcel. In your summary, please discuss the null hypothesis, alternative hypothesis, the result of this hypothesis test, and interpret the result.

1. Assume that the average length ofjail in pretrial in the state of Florida is 90 days. Use the data to perform a hypothesis test to determine if the average length of jail in pretrial in your sample is significantly different from the average length of jail in pretrial in Florida. The variable that measures the average length of jail in pretrial is JAILCREDIT. Use a .05 level of statistical significance. Run the one-sample t-test inExcel. In your summary, please discuss the null hypothesis, alternative hypothesis, the result of this hypothesis test, and interpret the result.

1. Conduct an independent sample t-test (alpha= .05) inExcel to determine whether there is a significant difference in the length of jail in pretrial between White and Black offenders. For this t-test, assume that the variances of the two groups are unequal. In your summary, please discuss the null hypothesis, alternative hypothesis, the result of this hypothesis test, and interpret the result.

1. Conduct an independent sample t-test (alpha= .05) inExcel to determine whether there is a significant difference in the age of offenders at prison admissions between White and Black offenders. For this t-test, assume that the variances of the two groups are equal. In your summary, please discuss the null hypothesis, alternative hypothesis, the result of this hypothesis test, and interpret the result.

1. Conduct a Chi-Square test inExcel to determine if the race of offenders is independent of offense type.In your summary, please discuss the null hypothesis, alternative hypothesis, the result of this hypothesis test, and interpret the result.

1. Conduct an ANOVA test inExcel to determine if there is a significant difference in JAILCREDIT across offense types.In your summary, please discuss the null hypothesis, alternative hypothesis, the result of this hypothesis test, and interpret the result.

1. CorrelateAGEADMIT and JAILCREDIT inExcel. Summarize your results and make sure that you briefly explain what this correlation means to you in terms of the impact of age on the length of jail in pretrial (direction of the correlation, correlation coefficient, and test of significance result).

Variable Name	Type of Variable	Variable Label	Value Labels	Values Explanation
County	Character	County of Sentence	NA	Literal name of county
Sex	Character	Sex of Offender	NA	Literal name of sex-Male, Female
Race	Character	Race of Offender	NA	Literal name of race-White, Black, Chinese, Nat. Amer. Hispanic, All Others, Unknown
Sentence	Numeric	Length of Sentence in Months	NA	Sentence length in months, except 9999998 = Life, 9999999 = Death
Offense	Numeric	Primary Offense	1 = Murder
			2 = Sex Offense
			3 = Robbery
			4 = Other Violent
			5 = Burglary
			6 = Property
			7 = Drugs
			8 = Weapons
			9 = Other Crimes
JailCredit	Numeric	Length in Jail Pretrial	NA	In Days
AgeAdmit	Numeric	Age of Offender at Prison Admissions	NA	In Years

What your data should look like (the first few rows only)

COUNTY	SEX	RACE	SENTENCE	OFFENSE	JAILCREDIT	AGEADMIT
LEE	MALE	WHITE	300	2	388	65
PALM BEACH	MALE	BLACK	39	7	272	61
BROWARD	MALE	BLACK	12	5	75	59
POLK	MALE	WHITE	36	4	224	71
HILLSBOROUGH	MALE	BLACK	120	2	225	59
DADE	MALE	BLACK	20	4	135	66
BROWARD	MALE	BLACK	17	7	53	56
ESCAMBIA	MALE	BLACK	36	7	90	58

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