.200 .708 .250 .602 $18.78 to $21.23 18.16 to 21.84 $18.60 to $21.40 18.37 to 21.63 Observations with values of 200 are included in the class Observations with values of 200 are excluded from the class Observations with values of 100 are excluded from the class The class interval is 99 Ordinal Nominal Interval Ratio $8 million $6.8 million Unable to determine from given information $5.6 million t test for difference in paired samples z test for two population proportions z test for two population means t test for two population means z = -2.45 z = -5.44 z = -1.81 z = 3.90 H1: µ ? 6.6 H1: µ ? 6.6 H1: µ > 7.6 H1: µ = 6.6 It approaches a normal distribution. It cannot be predicted in advance. It is positively skewed. It is negatively skewed. You would reject Ho You would accept Ho You would accept Ho if it is a two-tailed test, but reject Ho if a one-tailed test You cant render a decision unless you know the computed test statistic Since this was not based on the population, no conclusion can be drawn. Seventy percent is not in the interval, so assume it will not be supported. The interval estimate is above 70%, so infer that it will be supported. Seventy percent is not in the interval, so another sample is needed. 0.3413 0.5000 0.4332 0.1932 .0586 .0384 .0471 .0512 1.00 Very likely 0.4332 0.8664 Variance Mode Median Mean .40 .30 .030 .50 Monday 124 Tuesday 74 Wednesday 104 Thursday 98 Friday 120 No, because ?2 = 11.793 Yes, because ?2 = 15.308 No, because ?2 = 7.715 Yes, because ?2 = 12.288 Empirical Mutually exclusive Classical Subjective 1.96 6,000 6,400 2.8 0.35 0.55 0.95 0.05 6.92 10.33 15.85 9.26 13.5 and 14.5 inches 13.9 and 14.1 inches 13.0 and 15.0 inches 13.8 and 14.2 inches z = -1.29 t = -1.25 t = -1.07 z = -1.11 1/3 or 0.33 1/13 or 0.077 1/4 or 0.25 12/13 or 0.923 Weight of a person Miles between oil changes Number of children in a family Color of ink in a pen It has two modes. The points of the curve meet the x-axis at z = -3 and z = 3. It is asymmetrical. The mean, median, and mode are all equal. Unlimited range 0 to +1.0 -1.0 to +1.0 inclusive -3 to +3 inclusive The regression equation implies that an: increase of $1 in advertising is associated with an increase of $7,000 in sales. increase of $1 in advertising is associated with an increase of $62,000 in sales. increase of $7 in advertising is associated with an increase of $7,000 in sales. increase of $1 in advertising is associated with an increase of $7 in sales. Descriptive statistics Data summarization Statistical inference Data analysis 32 29.5 30 29
