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From the above output, we can see that the p-value is 0.000186, which is smaller than 0.05 (if we select a 0.05 significance level).

Because the p-value of .035 is less than the significance level of .05, I will reject the null hypothesis at 5% level.

scores; (b) describe in words the general pattern of correlation, if any; (c) figure the correlation coefficient; (d) figure whether the correlation is statistically significant (use the .05 significance level, two-tailed); (e) explain the logic of what you have done, writing as if you are speaking to someone who has never heard of correlation (but who does understand the mean, deviation scores, and hypothesis

The null hypothesis is rejected since the p-value is below the significance level of 0.05.

The correlation between Time 1 and Time 2 is 0.85 and is significant (0.000); however, if the reliability drops from 0.85 it must be decided if the test needs to be reexamined (Kline, 2005).

All of the test scores averages were very low. The results also did not make sense because today, color is a big attention grabber and a distracter. The reason behind this is possibly because people needed a warm up or practice before the first trial. The extraneous variables could have also caused the results as well. Some extraneous variables were the yelling from the other room outside that may have distracted them. Another variable may be the room temperature the participants were in. The last variable that may have caused the results were the uncomfortable chairs and the table height for the different sized participants.

"A correlation is a statistical to determine the tendency or pattern for two (or more) variables or two sets of data to very consistently" (Creswell, (2012). any

Erie Corporation has been founded in 2011 with the mission is to provide both reliable products for low-technology customers including Traditional and Low End segments; and premium- technology oriented customers including High End, Performance and Size segments. This business plan is written so as to provide the board of directors a detailed picture about the company’s strategies as well as the direction how we can implement these strategies. The plan consists of three parts.

This might indicate that there was a low amount of reliability between the two questions. There were also many questions that indicated a strong inter-item correlation in having a significant positive correlation to each other ranging from .300 to 1.00. This shows an amount of reliability between items. This shows that the test sample did have a level of content validity, which means that the items on the test represent the entire range of possible items that the test should cover.

Perform Initial Data Screening. What did you find regarding missing values, univariate outliers, multivariate outliers, normality?

NB: you can also use the "CORREL" function in excel to calculate your correlation coefficient

The floor was a little weird Wednesday, it just had a funny vibe going on. I don’t know if it was because of that one patient and his wife or if it was the nurses. But, it wasn’t right and Kelly and Christina did not receive report on one of their patients because of it. You could tell that Kelly not receiving report threw her off. Professor Davis reminded her to just take a deep breath and move on. Do what she could and get the information that she could from the chart and move on with the day. We then went and talked to Leslie and asked if she was ready to pass meds for her patient. Professor Davis had me and Goma the other team leader write down the meds and tell her what they were and what they are used for. She also asked Leslie the

5) From calculations, computed z value is more than -1.65 and falls within Ho not rejected region. Ho is not rejected at α = 0.05 & α = 0.01 significance levels.

Here P value is (0.695/2)= 0.3475 which is grater than significance level 0.01. If α> P value reject, do not reject otherwise, here 0.3475 ( P value) is grater than significance level, so do not reject. That means we can conclude that there is not enough evidence to claim that, the mean selling price in the Gulshan area is more than

The correlation analysis are a process to examine whether there are relationship or not between dependant and independent variables (Higgins, 2005). The Pearson Correlation measures the linear association between two metric variables. The number representing the Pearson correlation is referred to as a correlation coefficient. It ranges from -1.00 to +1.00, with zero representing absolutely no association between two metric variables. While -1.00 or +1.00 is possible and represents a perfect association between two variables, it very seldom