Temperature affects the rate of cell progress that is the mitotic rate to quite some extent. With the increase in temperature(3-25 degrees C) the mitotic cycle rate increases linearly.
Yes, the hypothesis is supported by the results of the experiment, as the data from bin 1 shows that after a certain number of worms, there is a decrease in survival rate due to limited resources or space. This suggests there is a maximum capacity for worms to thrive in bin 1 under the given conditions.
Why would i know! The visible spectrun of sunlight has seven color depending on the wave lenght. Violet light has minimum wave lenght and red light has maximum wave lenght. It is the red light which favours maximum plant growth and the green light brings minimum.
If your hypothesis is correct, it means that your prediction or proposed explanation aligns with the observed data or results from your study. This suggests that your initial assumption or idea about the relationship between variables is supported by evidence. It is important to continue testing and analyzing to further validate the hypothesis.
You are supposed to assume/expect that nothing happens, or the norm happens. E.g. if you are testing if plants grow more in light, you assume they dont, then see if that expectation is consistent with the result.
The symbiont hypothesis is the idea that humans evolved to rely on the presence of certain microorganisms in our bodies to perform essential functions, such as aiding digestion or regulating the immune system. This hypothesis suggests that these microbial partners have co-evolved with humans and play a crucial role in our overall health and well-being.
An example of a hypothesis for a pendulum experiment could be: "If the length of the pendulum is increased, then the period of its swing will also increase." This hypothesis suggests a cause-and-effect relationship between the length of the pendulum and its swinging motion.
If you do not reject your null hypothesis in the experiment testing the effects of temperature on seed germination, you can conclude that there is no significant effect of temperature on the germination rates of the seeds tested. This suggests that variations in temperature did not lead to measurable differences in the germination outcomes. Consequently, any observed changes in germination can be attributed to random chance rather than the temperature conditions applied in the study.
The two parts of a hypothesis are the null hypothesis, which states that there is no significant difference or relationship, and the alternative hypothesis, which suggests that there is a significant difference or relationship between variables.
The observed results were in line with the expected results, indicating that the hypothesis was supported. This suggests that the experiment was conducted correctly and the variables were controlled effectively.
Clean up. But, more importantly, you compile and analyze the observed and recorded data to see if it supports the original assumption of the experiment. Or if it disproves the hypothesis conclusively. Or if the data suggests a different connection between the variables being studied.
If you do not reject your null hypothesis in the experiment testing the effects of temperature on seed germination, you can conclude that there is no significant effect of temperature on the germination rates of the seeds under the conditions tested. This suggests that temperature variations within the experimental range did not influence the germination process. However, it's important to consider potential limitations of the study, such as sample size or temperature range, which might affect the validity of this conclusion. Further research may be needed to explore different conditions or additional factors.
a) testiable b) falisable c)both of the above d) none of the above the answer is , B ; falsiable . (: ENJOYYY ! <3
The hypothesis of a string phone experiment is that sound can travel through a taut string between two cups. This suggests that the vibrations produced when speaking into one cup can be transmitted through the string and heard on the other cup, demonstrating the concept of sound transmission through a medium.
The hypothesis of air pressure is that changes in air pressure affect weather patterns and atmospheric conditions. This hypothesis suggests that variations in air pressure can influence wind patterns, temperature changes, and the formation of weather systems.
If the data from an experiment do not support the hypothesis, it suggests that the initial assumption may be incorrect or incomplete. This outcome can prompt researchers to reevaluate their hypothesis, consider alternative explanations, or refine their experimental design. Additionally, it contributes to the broader scientific understanding by highlighting areas that require further investigation. Ultimately, negative results are valuable for advancing knowledge and fostering critical thinking in scientific inquiry.
In the scientific method this would be called the "hypothesis".
correlation