Describe the pattern that you see. How strong is the pattern? The scatterplot exhibits a ---Select--- (weak linear, weak nonlinear, strong nonlinear, strong linear) pattern. Do you see any outliers or clusters? There ---Select--- (are no outliers, is one outlier, are two outliers, are more than two outliers) and ---Select--- (no clusters, one cluster, two clusters, more than two clusters) on the scatterplot.

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True or false. If the IQR of a dataset is 0 then any observation smaller than Q1 is classified as an outlier using the 1.5(IQR) rule.

If P(A) = 0.5, P(B) = 0.4, and P(A^ B) = 0.25, then P(AUB) = 0.35 0.15 0.65 0.9

the link to the data is given below. please help asap i will upvote!! https://drive.google.com/file/d/1ervh7Ki2Nd-Ly1SjtXyCm82i40M6sE5z/view?usp=sharing

(b) 9 Five pennies were tossed 1000 times, and at each toss the number of heads was observed. The number of tosses during which 0, 1, 2, 3, 4, and 5 heads were obtained is shown in Table 2.12. (a) Graph the data of Table 2.12. (b) Construct a table showing the percentage of tosses resulting in a number of heads less than 0, 1, 2, 3, 4, 5, or 6. (c) Graph the data of the table in part (b). Table 2.12 Number of Tosses (frequency) Number of Heads 0 38 1 144 2 342 3 287 4 164 25 1000 Total

You believe that adults become more creative as they get older, based off a moderately positive correlation between age and creativity found on among a university freshman sample - what is the most striking problem with trying to measure correlation with this description? (outliers, restriction of range, nonlinear relation, inferring causation)

An "extraneous variable" is not a problem unless it with the independent variable O is identical systematically co-varies is not correlated Wait! An "extraneous variable" is by definition never a problem, that's what "extraneous" means.