Annie 2014 Quiz

|Data Sources: X( Observation | X( Student Interview | X( Teacher Interview | X( Parent Interview | ( Rating Scales | ( Normative Testing |

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

However, a correlation between two variables does not necessarily imply causation but for a causal relationship to exist between two variables there must be a correlation between the variables (Solomon W. Golomb, 2005). When predicting the Grade Point Averages, correlation might not be a good test for its prediction. This is because there is no GPA is not only influenced by intelligent quotient but it is also influenced by other external factors like Education background, family background, social and political environment among other factors. Other statistical tests may include the use of rating scales to rate qualities that cannot be directly rated through correlation by use of variables like good, fair, and excellent among others. Coefficient of correlation might also be used as a technique of predicting the Grade Point Averages. This refers to the main result of a correlation whereby it predicts significant and smaller changes among variables by use of scale r that ranges from +1.0 to -1.0.

They used with an experimental control group and they compared it for over a period of 5 years. The observation they studied was to compare the effects on the experiment and compared the group of students using: “(a) descriptive statistics including means and standard deviations of direct observation data; (b) visual inspection of means for DIBELS subtests across first, second, and third grades; (c) ANOVA test for the slopes for NWF (first grade) and ORF (first-third grades); and (d) ANOVA tests for the WRMT.” (Wills, H.,

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).

What is the r-value? Does the r-value suggest a positive or negative correlation? Is the correlation weak or strong? Looking at the significance value, is the correlation significant?

Therefore, not fitting with what the hypothesis states. 5c. What could be changed and improved for the correlation technique would be what studies they receive their data from. The correlation technique cannot be manipulated and it is used with the existent data. By changing the data the answers could be changed in order to prove the hypothesis without any defaults. 5d. Correlations are great when it comes to comparing variables. By using the correlation method, it cannot be manipulated because it is using the information that already exist. But, by using an experiment a person can actually prove the hypothesis and it is more concise. It can be manipulated meaning that a person can always find the reason for the results. Furthermore, this can conclude whether the independent variable affected the other variables in the experiment. 5e. An experiment that would help support the hypothesis is by giving 2 people with split brain and 2 people with the intact brain a task that would exercise the brain to see the relationships of the functions of the left and right hemispheres. The experiment would be showing a slide with the faces of well-known celebrities and using name tags. The people with the intact

The variable age is the independent variable and is a ratio level of measurement (Loiselle et al., 2011). The measure of central tendency to describe age are in table 1.2 are the mean of 57.62 which is the average age, the median which is the middle score within the distribution when all scores are organized of 58.5 and the mode of 58 which is the most frequently occurring age (Loiselle et al., 2011). The measures of variability are the range of 69 with a minimum age of 22 and a maximum age of 91, standard deviation which is the average deviation from the sample mean which is a value of 16.26, and the sample variance which is the standard deviation square and the value is 263.46 (Salkind, 2013). The distribution for this sample is described as a negative skew and the value obtained from table 1.2 is -0.22511(Salkind, 2013). A negative skew occurs when the median and the mode value are larger than the mean, within this sample the median is 58.5 the mode is 58 which is greater than the mean of 57.62, the tail would be pointed toward the left (Salkind, 2013). The kurtosis value is -0.65102 and this describes how peak or flat the curve is from the normal distribution curve which is described as mesokurtic (Salkind, 2013). The kurtosis has a large negative value which is representative of a flatter curve also know as playkurtic (Salkind, 2013).

139). It is an assumed linear association between two variables that is quantified by a single statistical number. The correlation coefficient measures the strength of the association between the two variables, 0 means there is no correlation, 1 means there is a perfect positive correlation, -1 means there is a perfect negative correlation. "The sample correlation coefficient, denoted r, ranges between -1 and +1 and quantifies the direction and strength of the linear association between the two variables. The correlation between two variables can be positive (i.e., higher levels of one variable are associated with higher levels of the other) or negative (i.e., higher levels of one variable are associated with lower levels of the other) (bumc.bu.edu, 2013)." Correlation is the most appropriate because it is easy to calculate and easy to

In this essay I will describe correlation is a measure of association as well as describe different methods of establishing a correlation between variables. In this essay I will also explain advantages and disadvantages of each method, were each must be applied, and provide particular circumstances and examples in which a researcher may want to establish correlation

Data Collection: Sample of student population, describe the relationship between these two variables, language arts scores, and measure the strength and direction of the correlation.

| Based on explicit knowledge and this can be easy and fast to capture and analyse.Results can be generalised to larger populationsCan be repeated – therefore good test re-test reliability and validityStatistical analyses and interpretation are

Table 2*. Correlations of the key study variables, with means (M) and standard deviations (SD).

This is a correlational study and it has quantitative character. The article consists of next sections: Abstract, Introduction, Method (this part also consists of such subsections as Subjects, PDS, Tasks, and Procedure), Results, Discussion, and References.

Annie Hall, an American romantic comedy released in 1977 retells the story of a man named Alvy Singer (portrayed by Woody Allen) and his attempt at comprehending why his relationship with Annie Hall failed. Annie Hall incorporates many cinematic techniques into its story which help solidify its place regularly on lists of best comedies (Snider). It uses conflict, different types of narratives and a classic three act structure. The movie beautifully conveys a story in New York in which one really feels the characters are actual citizens and not actors (Barsam 166).