Given:
1 - 50 written in red marker
51 - 100 written in blue marker
Probability of selecting a number greater than 81; 100 - 81 = 19 possible numbers. 1 draw. 1/19
Probability of selecting a number written in red: 1/50
Probability of selecting a number written in blue: 1/50
Probability of selecting a number that is a multiple of 10. There are 10 instances; 10, 20, 30, 40, 50, 60, 70, 80, 90, 100 ; 1/10
Answer: x≈3
Step-by-step explanation:
0.48 = log x , this could also be written as :
x = 0.48 , that is
x = 
x = 3.01995172
x≈ 3
Answer:
99.7% of the sample proportions will fall between 0.133 and 0.307.
Step-by-step explanation:
The Empirical Rule states that, for a normally distributed random variable:
68% of the measures are within 1 standard deviation of the mean.
95% of the measures are within 2 standard deviation of the mean.
99.7% of the measures are within 3 standard deviations of the mean.
In this problem, we have that:
Mean = 0.22
Standard deviation = 0.029
99.7% of the sample proportions will fall within which of the following intervals?
Within 3 standard deviations of the mean.
Lower end: 0.22 - 3*0.029 = 0.133
Upper end: 0.22 + 3*0.029 = 0.307
99.7% of the sample proportions will fall between 0.133 and 0.307.
Answer:
B. distribution skewed to the right, mean pulled to the right, median not effected
Step-by-step explanation:
When a distribution is skewed to the right, it means that the data is positively skewed or has more positive numbers than negative numbers.
An outlier can affect the mean of a distribution since a high value outlier will make the mean be much higher than the median. In this case, since the distribution is positively skewed, a high outlier will pull the mean to the right (to higher positive values).
