REPLY 7-1 JR (125 words and 1 reference)
Privitera (2020) explains that statistical test like the test test, helps determine if manipulation has occurred, as well as uses error variance to help understand the difference between 2 group. In this example where computed t-value is +3.28 and the critical value of t is +2.048, we are going to reject the null hypothesis due to there being a significant difference between both data sets. This could means that an effect was found on the variables and that the null hypothesis is greater than the critical value. This two tailed (nondirectional) test is used to illustrate a 28 degree of freedom and the relationship between the critical and the computed values of t.
REPLY 7-1 AV (125 words and 1 reference)
For a t-test, if my computed value for t is +3.28 and the critical value of t is +2.048, that means that the computed value is greater than the critical value. This would mean that we would reject the null hypothesis. The graph also shows us that we should reject the null because the computed value is in a shaded area of that graph. This indicates that we should reject the null and find another. The null hypothesis is assumed to be true, but if we reject the hypothesis then we have shown that we believe in the alternative (Privitera, 2018).
REPLY 7-2 RC (125 words and 1 reference)
The article I chose was a study conducted by an international team of researchers who studied the relationship between insomnia and heart attacks through data on more than 1 million adults. The average age was 52 and they were from 6 countries. People were considered to have insomnia if they had at least one of three symptoms; difficulty falling asleep, difficulty staying awake or waking to early in the morning (Caroll, 2023). The participants had to have these symptoms for at least 3 days a week and at least 3 months. A period of nine years showed that people who consistantly slept five hours or less were 56% more likely to have a heart attack than those who got the recommended 8 hours regardless of age or gender (Caroll, 2023). Another study in this article show that the quality of sleep matters and if you have a high quality you could average an additional 4 years for meant and 2 years on your life expectancy. I believe the statistics were appropriately described in the article. The studies broke the groups into ages, countries and time frame for having insomnia. This study took data from 9 years showing that it had plenty of data to pull from. I believe the statistics supported the argument being made that the amount and quality of your sleep makes a difference in your heart health and life expectancy. I do not feel the statistics were misleading in any way.
