The <em><u>correct answer</u></em> is:
C) Glide reflection.
Explanation:
If we reflect the image through the x-axis, the figure is oriented correctly and in the correct quadrant. It still, however, needs shifted. If we apply the translation <2, 1> to the reflected figure, it will be on image W.
Answer:
-3.2
Step-by-step explanation:
Answer:
Evidence of an increased risk of lung cancer associated with cigarette smoking was sought by Doll and Hill. In one study, 649 lung cancer cases were matched by age, and gender to 649 controls; 647 of the cases and 622 of the control had a history of smoking cigarettes.a.Name the type of study. Case control studyb.Create the appropriate 2X2 table for the study. (2 points)Lung CancerControlsSmokers647622Nonsmokers227Total649649c.Calculate the appropriate measure of association for the study. (4 points)The odds ratio: Cases = 647 / 2 = 323.5The odds ratio: Control = 622 / 27 = 23.03The odds ratio = 23.03 / 323.5 = 14.04 d.Interpret the results. (2 points)Smokers are 14 times more likely to develop lung cancer than non-smokers.
Step-by-step explanation:
Standard Deviation, σ: 1.870828693387
Count, N: 4
Sum, Σx: 12
Mean, μ: 3
Variance, σ2: 3.5
Answer:
Correct option is (c).
Step-by-step explanation:
The experiment is conducted to determine whether a new fertilizer affects the yield of tomato plants.
The procedure involves randomly assigning the new fertilizer to 20 plants and the other 20 will be assigned the current fertilizer.
Then the mean number of tomatoes produced per plant will be recorded for each fertilizer, and the difference in the sample means will be calculated.
The collected sample data will then be used to make conclusion about the population.
The researchers main aim is to determine whether the new fertilizer is effective or not, i.e. if on using the new fertilizer the yield of tomatoes increases or not.
So, the parameter under study id the difference between tow population means.
To make inferences about the experiment the researcher can construct a two-sample <em>t</em>-interval for a difference between population means. The confidence interval has a certain specific probability of including the true parameter value.
Thus, the correct option is (c).
