1.What is the goal of statistical testing?

To determine whether what we find to be true for the population can be interferred to be true for the sample as well

To determine whether the null hypothesis is extremely unlikely givenobserveddata

To determine whether the dependant variable has an effect on the independent variable

To determine whether a population effect is extremely likely given observed data from sample

2.Gerard finds a difference in mean sprinting time between skaters who use a classic start versus skaters who use a down start of 0.08 second s: t=17,94; df=76; p<0.01. how should Gerard interpret these results?

This difference is significant at alpha = 5%

The classic start is evidently quicker that the down start.

There is no significant difference at alpha = 5%

The down start is evidently quicker than the classic start

3.What is not a part of null hypothesis significant testing (NHST)

Generalizing from sample to population.

Calculating the distance of the population mean from the sample in standard errors

Calculating the chance on the data youfound, given that H0 is true

Assuming that H0 is true.

4.Veronica measured the IQ scores of all first year (n=100) students of her year. She compares the scores of the 56 men in this sample with the scores of all the first year students by doing an independent t-test. Which mistake does veronica make?

She hasn't made any mistake

She cannot generalize this result

The group are not independent

She should have done a paired sample t-test

5.A researcher wants to test whether drinking energy drink "Der Blaue Kuh" increases dart performance. She designs an experiment , where she measures how many of 15 darts thrown hit bull eye, after the player has drunk either a glass "Der Blaue Kuh"or apple juice. In other words: eachparticipants in the experiment drinks 2 drink and throws 30 darts. She randomly determines the orderin which each drink id drunk for each participant. These are the result of her test. Difference between mean number of bullseye hits (Der Blaue Kul- apple juice) = -14.2, t = -4.75; df =391; p < 0.001.

What is the conclusion can you darw?

Drinking Der Blaue Kul increases dart performance significantly more than drinking apple juice.

Der Blauwe Kul is more tasty than apple juice

There is no effects of der Blaue Kul on dart performance, compared to apple juice

Drinking apple juice increase dart performance significantly more than drinking DEr Blaue Kul.

6.Richard wants to know whether his revolutionary run-up technique has an effect on the number of scores from penalties. He therefore distributes his sample of 80 football playing men and woman randomly over two groups. One group uses his run-up technique before they kick the ball. The other uses their own run-up technique. He then measures how often participants score a penalty. And uses a test determine whether the difference between goals scored is significant. He finds a p-value of 0.04, but doesn't know how to interpret this result. What would you advise him?

Do not reject H0, because there is no effect of run-up technique.

Do not reject H1, becausethere is no effect of run-up technique

Reject H0, because there is an effect of run-up technique

Reject H1, because there is no effect of run-up technique

10. A marketeer wants to know which smart phone design generates the highest sales figures among a certain target group. She decides to an experiment; specifically, she creates an onlinequestionnaire in which the participants are randomly shown 1 of 2 possible designs (A or B). After seeing this 3D image of one of both smart phone designs, the participants fill in 20 questions that measures their buying intention on a scale from 1 to 10.

Which statistical test should she use to evaluate the results?

Means,standard deviationsandhistograms.

The independent t-test.

The Pearson correlation coefficient.

The paired t-test.