Step-by-step explanation:
To find the rate, divide the number of heartbeats by the number of seconds.
You: 22 beats / 20 seconds = 1.1 beats per second.
Friend: 18 beats / 15 seconds = 1.2 beats per second.
Answer:
4 miles in 1 min
Step-by-step explanation:
Answer:
Show a photo
Step-by-step explanation:
we can't see what you're talking about
a. All sides are equal and opposite sides are parallel
b. Exactly one pair of parallel lines
c. Has 2 sets of parallel lines and four 90 degree angles
d. Has 2 equal sides and 3 acute angles
Answer:b
Step-by-step explanation:
Answer:
B
Step-by-step explanation:
because it has two parallel side and and other are just lines but being quadrilateral its sum is 360
Use the empirical rule (68 - 95 - 99.7%) to estimate the probability of a gorilla living longer than 14.3
years.
Percent % pls
the probability of a gorilla living longer than 14.3 years is 83.9%
Given :
The lifespans of gorillas in a particular zoo are normally distributed
Mean is 16 years and standard deviation is 1.7 years
Empirical rule diagram is attached below
We need to find the probability of a gorilla living longer than 14.3
Lets find out 14.3 lies in which standard deviation on left or right
mean is 16
14.3 lies on first standard deviation on left of mean 16
So we find out the area that covers after 14.3
The area after 14.3 is
the probability of a gorilla living longer than 14.3 years is 83.9%
Learn more : brainly.com/question/14280851
The probability of a gorilla living longer than 14.3 years is estimated to be 81.2% using the empirical rule.
To estimate the probability of a gorilla living longer than 14.3 years, we can use the empirical rule, also known as the 68-95-99.7% rule. According to this rule, for a normal distribution, approximately 68% of the data falls within one standard deviation of the mean, 95% falls within two standard deviations, and 99.7% falls within three standard deviations.
The average lifespan of gorillas in this zoo is 16 years, with a standard deviation of 1.7 years. To estimate the probability of a gorilla living longer than 14.3 years, we need to calculate the z-score. The z-score formula is:
z = (x - μ) / σ
where x is the value we want to find the probability for, μ is the mean, and σ is the standard deviation.
Plugging in the values, we have:
z = (14.3 - 16) / 1.7
Solving this, we get a z-score of -0.88. Using a z-table or a calculator, we can find that the probability of a gorilla living longer than 14.3 years is approximately 0.812, or 81.2%.
#SPJ12
employed by the federal government.
μ2: The mean training time for the population of airport security personnel
employed by private security companies.
The goal of the statistical analysis is to determine whether the sample data support the hypothesis that average training time for government-employed security personnel is higher than those employed by private security companies.
1. What is the null hypothesis H0?
Select one:
a. μ1- μ2 <= 0
b. μ1- μ2 < 0
c. μ1- μ2 =/ 0
d. μ1- μ2 > 0
2. What is the alternative hypothesis Ha?
Select one:
a. μ1- μ2 > 0
b. μ1- μ2 <= 0
c. μ1- μ2 = 0
d. μ1- μ2 >= 0
Answer:
1.a. H₀: μ₁ - μ₂ ≤ 0
2.b. H₁: μ₁ - μ₂ > 0
Step-by-step explanation:
Hello!
The objective is to compare the average training time for two groups of airport security personnel.
Group 1: Security personnel that works for the federal government
n= 12
X[bar]= 72 hs
S= 8hs
Group 2: Security personnel from private companies
n= 16
X[bar]= 65.4 hs
S= 12.3 hs
The goal of the analysis is to test if the average training time for government-employed security personnel is higher than those employed by private security companies, symbolically: μ₁ > μ₂
The null and alternative hypotheses are complementary and exhaustive.
The null hypothesis always represents the "no change situation" and therefore always carries the = symbol. Generally, the researcher's claim is stated in the alternative hypothesis.
With all this in consideration, the hypotheses for this experiment are:
H₀: μ₁ ≤ μ₂
H₁: μ₁ > μ₂
I hope this helps!
Answer:
The area of the square is increasing at a rate of 40 square centimeters per second.
Step-by-step explanation:
The area of the square (), in square centimeters, is represented by the following function:
(1)
Where is the side length, in centimeters.
Then, we derive (1) in time to calculate the rate of change of the area of the square (), in square centimeters per second:
(2)
Where is the rate of change of the side length, in centimeters per second.
If we know that and , then the rate of change of the area of the square is:
The area of the square is increasing at a rate of 40 square centimeters per second.