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Q1) Is there a difference in kind of feedback given by mothers who don't receive treatment? Again, utilize Data/ Select Cases to choose just mothers who are receiving treatment. DV is the type of feedback (praise, directive, negative).
Carry out ANOVA and, if essential, post-hoc comparison. Construct a graph to represent group differences, and interpret ANOVA in paragraph written in APA style.
Is there the effect of child's age (2-3 vs 6-7 years old) and family type (2 parents vs. mother-only) on amount of feedback given by mothers ( the amount of feedback represents the total number of positive, negative, and directed comments made by mothers; it is given by variable feed_back_amount)?
Carryout the ANOVA and, if essential, post-hoc comparisons. Conduct a graph to represent group differences, and interpret ANOVA in a paragraph written in APA style.
Find the percent of a standard Normal model found in the given region. Round to the nearest hundredth of a percent.
Describe the sampling distribution of the sample proportion
Establish a 99% confidence interval for the difference in the proportion of suburban and urban housewives who own IPod.
To test the difference between two means using two mean z test.
Two letters are chosen at random without replacement from word statistical. Determine the probability that both letters are s?
Kind of examination produced significant main effects on both mean mark and time taken to complete the examination.
What is the probability that a simple random sample of 40 male graduates will provide a sample mean within $10,000 of the population mean, $168,000 (to 4 decimals)?
The standard deviation of the population of adult female height scores is 3 inches. A random sample of 50 women yields a mean height of 64 inches. Calculate the standard error of the mean.
Computation of Expectation, Variance and Covariance.Calculate the variances of Y1 and Y2.
Given same values n=20, p=0.6, and x=17, calculate probability of x successes in n independent trails of experiment.
Be certain to mention the direction of the relationship, the strength of the relationship, and whether our findings are statistically significant
Find out the value of correlation coefficient. Make a regression model to predict winning percentage utilizing all of the data.
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