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.

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?)

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…

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

Find the P value for the following example.A data set {Xi} contains 100 house prices in Boston while{Yj} contains 200 house prices in MA. The variances ofBoston and MA are known to be equal but a specificvalue is unknown. We want to test whether the meanhouse price of Boston is higher than the state meanprice. The Boston sample mean and variance are 350Kand (150K)2 while the MA sample mean and varianceare 300K and (50K)2. Use α = 0.05 for the test.

A candy company produces packets of candy every day. Each packet they produce has a slightly unique weight. The mean of the weights is 74g, and the variance of the weights is 13g. What is the minimum weight of a packet of candy with a z-score of -0.2? (round to the nearest tenth as needed)

Can you explain what is above? Estimates of variance can be used to test a hypothesis because?