Please explain in Excel the following results

1.Produce a frequency table and a pie chart for RACE. Summarize the results.

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

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

4.Assume that the average age of offenders 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 in Excel. In your summary, please discuss the null hypothesis, alternative hypothesis, the result of this hypothesis test, and interpret the result.

5.Assume that the average length of jail 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 in Excel. In your summary, please discuss the null hypothesis, alternative hypothesis, the result of this hypothesis test, and interpret the result.

6.Conduct an independent sample t-test (alpha= .05) in Excel 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.

7.Conduct an independent sample t-test (alpha= .05) in Excel 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.

8.Conduct a Chi-Square test in Excel 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.

9.Conduct an ANOVA test in Excel 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.

10.Correlate AGEADMIT and JAILCREDIT in Excel. 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).

All three files are formatted the same so this codebook can be used for all three datasets.

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