(2, 50, 50, 51, 51, 52, 53, 54, 54, 55, 55, 55, 56, 56, 57} What is the best measure of the central tendency of the data? mean m
Alexxx [7]
The median is----54
The mean is----Approximately 50
The mode(s) is/are----50, 51, 54, 55, and 56
The range is---- Approximately 29 if you round
Answer:
D
Step-by-step explanation:
choice A is not guaranteed since the values varied from 0 to 7.
choice B seems alright, but doesn't include about or anything about the long run.
choice C is incorrect because 50% are less than 3.12 and 50% are greater than 3.12.
choice D seems pretty good, since it says average, long run, approach, etc.
choice E is incorrect because it says "will be". It is not definite.
Answer:
The approximate volume of the cone is 14 cube inches.
Step-by-step explanation:
Circumference of the base of the cylinder = 3π inches
Height of the cylindrical piece of wood = 6 inches
volume of a cone = h
But,
circumference = 2πr
3π = 2πr
r =
= 1.5 inches
Radius of the base of the cylinder is 1.5 inches.
So that;
volume of cone = x x x 6
= x x x 6
= 14.143
volume of cone = 14.143 cube inches
The approximate volume of the cone is 14 cube inches.
Answer:
t = 25.1seconds
Step-by-step explanation:
X(t)= 16cos75°t
Y(t)= 6 + (Vosin75°t - 16t^2)
Converting 78 yards to feet :
1 yard = 3 feet
78feet =?
78×3=234 feet
Y(t)= number of feet above the ground at t seconds
VoCos75° t = 234
t = 234/(VoCos75°)
At this time,4 = y(234/VoCos75°)
4 = 6 + VoSin75°(234/VoCos75) - 16(234/VoCos75°)^2
Vo= 140.66ft/s
Time,t= 234/(140.66× Cos75°)
t = 25.087seconds
t= 25.1 seconds (1 decimal place)
Answer:
A win or loss of the the team at the home location cannot be interpreted from the correlation coefficient.
Step-by-step explanation:
The correlation coefficient between two categorical variables is a numerical measure of the strength and direction of the relationship between them.
It is denoted by <em>r</em>. The value of <em>r</em> ranges from -1.00 to 1.00.
A correlation of 1.00 indicates a strong positive relationship between the variables. It also indicates a positive slope for the regression line, i.e. as the value of one variables increases the value of other also increases.
A correlation of -1.00 indicates a strong negative relationship between the variables. It also indicates a negative slope for the regression line, i.e. as the value of one variables increases the value of other decreases.
The correlation coefficient does not imply causation, i.e. it does implies that a change in one variable is because of the other variables just so they are correlated.
A change in the variables can be due to many other factors.
In this case the correlation coefficient between location of game and number of wins is computed as -0.91.
The correlation coefficient implies a negative relation between the variable.
But it does not implies that the number of wins of the team is affected by the location of the game.
So a win or loss of the the team at the home location cannot be interpreted from the correlation coefficient.