Null Hypothesis, : The heart transplant operation had no impact on the patient's survival rates. Alternative Hypothesis, : It was asserted that recipients of heart transplants had a higher chance of surviving than recipients of organs from other donors.
The large distribution from binomial, Poisson, etc. is approximated by the normal distribution. Furthermore, the variables are discrete and few, and we are working with counted data rather than real observations. Chi-square distribution should be used in the current scenario. We can determine if the two groups are the same or different by using the chi-square test. As a result, a confidence interval cannot be created.
In other words, the Null Hypothesis is true if the average for the two groups (control and treatment) is equal. In the alternative theory, The averages for the two groups (control and treatment) are different.
To learn more about confidence intervals:
brainly.com/question/17212516
#SPJ4
Answer:
52
Step-by-step explanation:
The way u write it in scientific notation is 600+50+2
Wind can carry seeds and pollen from plants to different areas.
Answer:
Step-by-step explanation:
In the normal distribution curve, the mean is in the middle and each line to the left and to the right of that mean represent 1- and 1+ the standard deviation. If our mean is 400, then 400 + 50 = 450; 450 + 50 = 500; 500 + 50 = 550. Going from the mean to the left, we subtract the standard deviation and 400 - 50 = 350; 350 - 50 = 300; 300 - 50 = 250. We are interested in the range that falls between 350 and 450 as a percentage. That range represents the two middle sections, each containing 34% of the data. So the total percentage of response times is 68%. We are looking then for 68% of the 144 emergency response times in town. .68(144) = 97.92 or 98 emergencies that have response times of between 350 and 450 seconds.