Answer:
0.5714 is the probability that a randomly selected customer will wait between 1 and 5 minutes at the delicatessen.
Step-by-step explanation:
We are given the following information in the question:
a = 0, b = 7
Then, the uniform distribution function is given by:
a) P( 1 < x < 5)
0.5714 is the probability that a randomly selected customer will wait between 1 and 5 minutes at the delicatessen.
Conditional relative frequency is the ratio of the the value of somthing with the total value for a set in data table. The value of the letter <em>a</em> is 0.1 and the value of the letter <em>b</em> is 0.85.
Given information
In the given table,
For the 16 year old weekend curfew is 0.9 before 10 pm and <em>a </em>after 10 pm in total 1.
For the 17 year old weekend curfew is <em>b</em> before 10 pm and 0.15<em> </em>after 10 pm in total 1.
There is total are with 0.88 before 10 pm and 0.12 after 10 pm in total of 1.
<h3>Conditional relative frequency-</h3>
Conditional relative frequency is the ratio of the the value of somthing with the total value for a set in data table.
As for the relative conditional frequency the sum of the frequencies of each column should be equal to the one.
Hence for column two given in the table,
Solve for<em> a</em>,
Thus the value of the letter <em>a</em> is 0.1.
Hence for column three given in the table,
Solve for<em> a</em>,
Thus the value of the letter <em>b</em> is 0.85.
Learn more about the conditional relative frequency here;
brainly.com/question/3444575
Answer:
Option B) the minimum acceptable chance of making a type I error.
Step-by-step explanation:
We define significance level as:
- It is denoted by α.
- It is the probability of rejecting the null hypothesis when it is true.
- Thus, it is the type I error.
- Lower significance levels indicate that stronger evidence are required to reject the null hypothesis.
- We compare the significance level to the p-value to decide whether to accept or reject the null hypothesis.
- It is the probability of false positive.
- The probability of making a type I error is α, which is the level of significance.
- For example: A significance level of 0.05 indicates that there is a 5% chance that we are wrong when we reject the null hypothesis because it is actually true. To lower this risk, you must use a lower value for α.
Option B) the minimum acceptable chance of making a type I error.
2,582.1 ÷ 10 = 258.21
Answer = 258.21
Good Luck! :)