Experimental probability is the outcome during a certain experiment. add up the total number of times it was spinned. You should get 40. To find the experimental probability of each section, simply divide the number by 40. This will give you the percentage for each one. For example, spinner A. 14/40=.35 Multiply this by one hundred to find the percentage (35%). Do this for all and let me know if you need help converting them to fractions. :)
Answer:
The correct answer is D. 2/11.
Step-by-step explanation:
To determine what is the probability of rolling a number less than or equal to 8 with the sum of two dice, given that at least one of the dice must show a 6, the following calculation should be performed:
6 + 1 = 7
6 + 2 = 8
2/11 = X
Therefore, the probability of rolling a number less than
or equal to 8 with the sum of two dice, given that at least one of the dice must show a 6, is 2/11.
6 times x
X is equal to the fraction of cupcakes
Six multiplied by three is 18
Answer:
A) The sampling distribution for a sample size n=50 has a mean of 18.5 weeks and a standard deviation of 0.849.
B) P = 0.7616
C) P = 0.4441
Step-by-step explanation:
We assume that for the population of all unemployed individuals the population mean length of unemployment is 18.5 weeks and that the population standard deviation is 6 weeks.
A) We take a sample of size n=50.
The mean of the sampling distribution is equal to the population mean:
The standard deviation of the sampling distribution is:
B) We have to calculate the probability that the sampling distribution gives a value between one week from the mean. That is between 17.5 and 19.5 weeks.
We can calculate this with the z-scores:
The probability it then:
C) For half a week (between 18 and 19 weeks), we recalculate the z-scores and the probabilities:
Is this what you meant?
<span>Which point would map onto itself after a reflection across the line y = –x?
(–4, –4)
(–4, 0)
(0, –4)</span>
(4, –4)
