as.jury.stats {sate}

Calculates probability a jury will find defendant guilty based on juror preferences, with standard error and confidence interval

Description

Calculates probability jury finds defendant guilty based on verdicts preferences of jury pool. Also reports standard error and confidence interval of estimate (use as.jury.point function for estimate only).

Usage

as.jury.stats(
  sample_pg,
  sample_n,
  jury_n = 12,
  pstrikes = 0,
  dstrikes = 0,
  accuracy = 0.15,
  digits = 3
)

Arguments

sample_pg

Proportion of jurors who favor a guilty verdict; a number between 0 and 1.

sample_n

Size of sample used to estimate sample_pg.

jury_n

Size of the jury (i.e. 6, 8, or 12); default value is 12.

pstrikes

Number of peremptory strikes by prosecution; default value is 0.

dstrikes

Number of peremptory strikes by defendant; default value is 0.

accuracy

Accuracy of parties' peremptory strikes; a number between 0 and 1; default value is .15.

digits

Number of digits to report after decimal places; default value is 3.

Value

Returns the probability jury finds defendant guilty.

Examples

   library(sate)
   as.jury.stats(sample_pg=.50, sample_n=830)

   as.jury.stats(sample_pg=10/12, sample_n=295)