What is sample size and why is it important? Sample size refers to the number of participants or observations included in a study. ... The size of a sample influences two statistical properties: 1) the precision of our estimates and 2) the power of the study to draw conclusions.
The heart of a lazy person pumps blood less efficiently than an athlete who has trained and prepared to achieve a high performance, this can be understood with the example of football players who will play in other countries that have a higher altitude than the country of origin and has to go before to get used to the rarer air
<span>With no clouds and low
humidity, much of the days heat is reflected back into the atmosphere.</span>
Explanation:
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<span>The vibrations are then sent to three tiny bones in the middle ear: the malleus, incus, and stapes. These bones then amplify the sound vibrations and send them to the cochlea, a snail-shaped structure in the inner ear. The vibrations then cause the fluid inside the cochlea to ripple along the basilar membrane. This ripple stimulates the hair cells that sit on top of the basilar membrane.</span>
