students                package:HSAUR                R Documentation

_S_t_u_d_e_n_t _R_i_s_k _T_a_k_i_n_g

_D_e_s_c_r_i_p_t_i_o_n:

     Students were administered two parallel forms of a test after a
     random assignment to three different treatments.

_U_s_a_g_e:

     data("students")

_F_o_r_m_a_t:

     A data frame with 35 observations on the following 3 variables.

     '_t_r_e_a_t_m_e_n_t' a factor with levels 'AA', 'C', and 'NC'.

     '_l_o_w' the result of the first test.

     '_h_i_g_h' the result of the second test.

_D_e_t_a_i_l_s:

     The data arise from a large study of risk taking (Timm, 2002).
     Students were randomly assigned to three different treatments
     labelled AA, C and NC. Students were administered two    parallel
     forms of a test called 'low' and 'high'. The aim is to  carry out
     a test of the equality of the bivariate means of each treatment
     population.

_S_o_u_r_c_e:

     N. H. Timm (2002), _Applied Multivariate Analysis_. Springer, New
     York.

_E_x_a_m_p_l_e_s:

       data("students", package = "HSAUR")
       layout(matrix(1:2, ncol = 2))
       boxplot(low ~ treatment, data = students, ylab = "low")
       boxplot(high ~ treatment, data = students, ylab = "high")

