Explain the three major sources of error variance related to reliability. Provide an example of a type of reliability thst could be used to estimate each source of error variance. Your examples must be different for each source of variance.

Give 2 examples of Variance and standard deviation for grouped data to coefficient of skewness and kurtosis

You are doing a one way analysis of variance on the fuel consumption of different makes of cars. You measure the fuel consumption of 59 cars in total. The number of car makes is 6 for this experiment. The sum of squares total is 181.55 and the sum of squares treatment is 118.42. Find the sum of squares errors correct to 2 decimal places.

Each problem describes a research situation and the data it produces. Identify the statistical procedure or test that is appropriate for the data. Choose whether the problem requires one of the following: Descriptive statistics (Mean, Standard Deviations, Percentiles), one-sample t-test, Independent-measures t-test, Independent-measures ANOVAs (One-factor or Two-factor), Repeated-measures ANOVA, Linear Regression, Chi-Square Goodness-of-fit, Chi-Square Test of independence. 1) Research has demonstrated that IQ scores have been increasing, generation by generation, for years (Flynn, 1999). A researcher would like to determine whether this trend can be described by a linear equation showing the relationship between age and IQ scores. The same IQ test is given to a sample of 100 adults who range in age from 20 to 85 years. The age and IQ score are recorded for each person.   2) Childhood participation in sports, cultural groups, and youth groups appears to be related to improved…

Variance is a measure of     relative position     central tendency     skew     variability

Mean 1 = 17, SD 1=7.89 Mean 2= 89, SD 2= 6.69 R = -0.84 What is the proportion of variance shared between the two variables? (How much of the variance in one variable can be predicted by the variance in the other variable?)

If the assumption of constant variance is violated, you can transform the response data True or false

Bag-Filling Machines at Jelly Belly. The variance in a production process is an important measure of the quality of the process. A large variance often signals an opportunity for improvement in the process by finding ways to reduce the process variance. Jelly Belly Candy Company is testing two machines that use different technologies to fill three pound bags of jelly beans. The file Bags contains a sample of data on the weights of bags (in pounds) filled by each machine. Conduct a statistical test to determine whether there is a significant difference between the variances in the bag weights for two machines. Use a .05 level of significance. What is your conclusion? Which machine, if either, provides the greater opportunity for quality improvements?   Machine 1 Machine 2 1.34 1.46 1.57 1.50 1.59 1.52 1.70 1.49 1.58 1.50 1.48 1.48 1.51 1.50 1.45 1.49 1.44 1.54 1.45 1.52 1.46 1.52 1.54 1.45 1.77 1.52…

Two students sit for a university final exam whose scores are known to be normally distributed. The raw scores of the students are 63 and 93, and the z scores (standardized scores) of these scoresare -1 and 1.5 respectively. What is the variance of the distribution of raw exam scores?

Why Calculation of power is more complex for Analysis of Variance?