Two main factors affect the speed of sound: the material that makes up the medium—such as air or water—and the temperature. If we know the medium and the temperature, however, we can predict the speed of sound.
Answer: The questions is not complete.
It should be Which Activities and habits do you practice to illustrate media and information literacy.
1. Reading newspapers.
2. Watching videos and documentaries online
3. Surfing the nets for different music, lyrics ,Actors and also music artists.
4. Browsing websites of CNN, BBC, Sahara report
Explanation:
Media and information literacy refers to the ability of people to acess, and analyse informations and enable them to make judgements as users of information and create informations as.
The activities and habits practice to illustrate media and information literacy are;
1. Reading newspapers.
2. Watching videos and documentaries online
3. Surfing the nets for different music, lyrics ,Actors and also music artists.
4. Browsing websites of CNN, BBC, Sahara reports
These activities has help me to develop critical thinking skills i.e to be able to think and analyse information and it has also give me the ability to be able to handle information that can have a very effect on me one way or the other .
No hypothesis test is 100% certain. Because the test is based on probabilities, there is always a chance of making an incorrect conclusion. When you do a hypothesis test, two types of errors are possible: type I and type II. The risks of these two errors are inversely related and determined by the level of significance and the power for the test. Therefore, you should determine which error has more severe consequences for your situation before you define their risks.Type I errorWhen the null hypothesis is true and you reject it, you make a type I error. The probability of making a type I error is α, which is the level of significance you set for your hypothesis test. An α of 0.05 indicates that you are willing to accept a 5% chance that you are wrong when you reject the null hypothesis. To lower this risk, you must use a lower value for α. However, using a lower value for alpha means that you will be less likely to detect a true difference if one really exists.Type II errorWhen the null hypothesis is false and you fail to reject it, you make a type II error. The probability of making a type II error is β, which depends on the power of the test. You can decrease your risk of committing a type II error by ensuring your test has enough power. You can do this by ensuring your sample size is large enough to detect a practical difference when one truly exists.
Usually it is only sedimentary rocks<span> that contain fossils other than amber.</span>
