Answer:
Statistical inference refers to using a sample of measurements and making generalizations about the important aspects of a population.
Step-by-step explanation:
Statistical inference:
- Statistical inference is use of statistics to draw conclusions about some unknown parameters of a population based on a random sample from that population.
- With the help of sample statistic of a sample drawn randomly from the population, we approximate some properties of population.
- This is known as statistical inferences.
- It is an important method to analyze properties of a population based on the sample.
Answer:
0.8432
Step-by-step explanation:
The probability of a correct transmission of individual character = 0.9
Let's consider the three possible scenarios:
1) Probability of all 14 characters transmitted correctly = 0.9^14 = 0.2287
2)Probability of only one character being wrong: (0.9 ^ 13) * 0.1
This equals 0.02541 To account for the order at which the incorrect character is produced, lets consider the permutation:
This accounts for same objects or results being repeated, and is an integral part of permutation questions. The result is 14. Thus there are 14 ways for the probability of 0.02541 to occur. That means a total of 0.02541 * 14 probability. This equals 0.3559
3) Probability of both characters being wrong:
Similar steps to (2). Probability = (0.9^12) * (0.1 ^ 2) =0.002824
Number of ways this could occur:
= 91
Total probability for this event: 0.002842 * 91 = 0.2586
The answer to our question is thus all these probabilities combined, which makes: 0.2287 + 0.3559 + 0.2586 = <u>0.8432</u>
Answer:
n = 27
Step-by-step explanation:
multiply each term by 3 and simplify.
Answer:
Yes
Step-by-step explanation:
if you add two consecutive numbers, the answer is always an odd number. So a sum like this must have an odd number as a factor again.
Answer:
Step-by-step explanation:
number of weeks=103.50/5=20.7 bi-weeks
so she needs 21 bi-weeks or 42 weeks