Hello can you help me with these questions? Question 1. Match each term to the correct definition.

incorrect conclusions in hypothesis testing in relation to the real (but unknown) situation, such as deciding the null hypothesis is false when it is really true.

A false alarm; rejecting the null hypothesis when in fact it is true; getting a statistically significant result when in fact the research hypothesis is not true. In other words, you made the claim that something was there, but it wasn't there.

Probability of making a Type I error; same as significance level.

A miss; failing to reject the null hypothesis when in fact it is false; failing to get a statistically significant result when in fact the research hypothesis is true. In other words, something is there, but vou missed it.

Probability of making a Type lI error.

Standardized measure of difference (lack of overlap) between populations. Effect size increases with greater differences between means.

One symbol for effect size

Statistical method for combining effect sizes from different studies.

Probability that the study will give a significant result if the research hypothesis is true.

Drop down answers for the matching questions are

Cohen's d

Type II error

Meta-analysis

Decision errors Type I error

Effect size

a

Statistical power

B

Question 2 What number corresponds to each of the following effect sizes for cohen's d?

Small:

Medium:

Large:

Question 3 With a significance level of p<.05 what is the chance of making a type i error>

? less than a .05% chance that you got your results if the null were true ? less than a .50% chance that you got your results if the null were true ? less than a .5% chance that you got your results if the null were true ? less than a 5% chance that you got your results if the null were true

Question 4

If study one finds a p-value of p<.05 but study two finds a p-value of p we can say that the findings from are more significant than one. true false>

Question 5

If I set my a level to p<.01 the chances of making a type i error are higher than if set significance level at p o true false>

Question 6

If I set my a level to p<.01 the chances of making a type il error are higher than if i set significance level at p true o false>

Question 7

Why do we use an a level of p<.05 rather than something like p check all that apply. an a of would make the effect size too large. is standard in psychological research. risk type i error high. making ll p-values mean findings are more significant.>

Question 8

Effect size is... ? a standardized measure of the difference between population means. ? larger when there is a lot of overlap between two distributions. ? only measured using Cohen's d. ?not an important factor to consider in statistical research.

Question 9

What is the probability of getting a significant result if the research hypothesis is false? O standard error O a O high O B

Question 10

What's the probability of getting a statistically insignificant result if the Research hypothesis is true? O a ? standard error O high ? B

Question 11

Label each of the following as a Type I error, a Type II error, or no decision error. Decision Reality Conclusion about decision I've rejected the null. The null is true. [ Select ] Type I Error In a study investigating if a No decision error new anxiety medication Type II Error reduces anxiety, researchers reported that the drug in The drug truly does help [ Select ] addition to trauma-focused reduce anxiety. cognitive behavioral therapy did work compared to the therapy alone. In a study investigating if There is no true listening to classical music difference between while studying impacts test these groups; the scores in statistics, researchers researcher did not found that students who [ Select ] control for other factors listened to classical music while studying performed 50% (e.g., study time) that better than students who did truly influenced the results. not. You make a claim that nothing ...but something IS [ Select ] is happening... happening! I used a new detergent and My clothes are not any MacBook Air 100 DD DIL DD F4 F5 F 6 F7 F 8 F9 % > W # 5 6 OOI used a new detergent and My clothes are not any told everyone how much cleaner now than they cleaner my clothes were [ Select ] were with the old compared to how they were Type I error detergent. before. No decision error Type II error I want to know if there's a There truly is no difference in math ability difference between men between men and women. My [ Select ] and women in regard to research study findings math ability. indicate no difference. I failed to reject the null. The null is false. [ Select ]Label each of the following with whether they increase or decrease statistical power. N (sample size) is large. [ Select ] increases power There is a lot of variation in the variables of interest decreases power within the population. The true effect size is very small. [ Select ] My hypothesis is focused in one direction. (e.g., I [ Select ] hypothesize that variable A increases variable B). I have a small, but diverse sample. [ Select ] The significance level I'm aiming for is .01 rather than [ Select ] the standard .05