68% percentage of the balls weigh within one standard deviation of the mean. Option b is correct.
The weights of tennis balls are normally distributed, with the mean being 5.15 ounces and the standard deviation being 0.10. what percentage of the balls weigh within one standard deviation of the mean to be determined.
Empirical Rule is defined as an elongation of the prior reading Understanding the Normal Distribution. In the prior reading, the aim was to develope an instinct of the relations between lowered probability and expanded distance from the mean.
Since, from the empirical rule, it can be said that 68% percent of the balls weigh within one standard deviation of the mean because Approx 68% of the data occurs within 1 Standard Deviation of the mean.
Thus, 68% percentage of the balls weigh within one standard deviation of the mean. Option b is correct.
Learn more about the empirical rules here:
brainly.com/question/27914019
#SPJ5
Answer:
Equation represent the number of times feliz can drive to or from work with the gas in his tank is
Step-by-step explanation:
The gas tank in felizs car is 5/6 full
When he drives to or from work he uses part of a full tank of gas =\frac{1}{12}
Let x be the number of times feliz can drive to or from work with the gas in his tank
So, He uses part of full tank of gas in x drives =
So, ATQ
x=10
The number of times feliz can drive to or from work with the gas in his tank is 10
Hence equation represent the number of times feliz can drive to or from work with the gas in his tank is
Answer:
[-1,1]
Step-by-step explanation:
Do you trust me????????
B. 0.015
C. 0.065
D. 0.15
The fraction 13/20 is equivalent to the decimal 0.65.
To convert the fraction 13/20 to a decimal, simply divide the numerator (13) by the denominator (20):
13 ÷ 20 = 0.65
Therefore, the decimal representation of the fraction 13/20 is 0.65.
To know more about fraction here
#SPJ6
A. 21/75B. 75/21C. 7/25D. 7/9
In scientific notation, this distance is
?x10
Answer:
9.461 × 10^17
Step-by-step explanation:
946,100,000,000,000,000 is 9.461x10^17