A researcher conducts two studies. Each study was a one-sample z test. Both studies placed the rejection region in both tails and measured the same sample mean. The beat level in Study 1 was larger than the beta level used in Study 2. Which study is associated with greater power to detect an effect

Study 2 will produce a greater power to detect an effect because it has a lower beta level

Step-by-step explanation:

Generally, alpha level is the probability of rejecting the null hypothesis when it's true. Whereas beta level is the opposite and it's the probability of accepting the null hypothesis even though it’s false.

Now, in statistics the lower the alpha level, the more we require a stronger evidence. Thus, a higher alpha level is usually required to produce a stronger evidence.

Now, an increase in alpha level means a decrease in beta level and a decrease in alpha level means an increase in beta level.

This means that the lower the beta level, the greater is the power to detect an effect.

Now, we are told that the beta level in study 1 was larger than the beta level used in Study 2.

Thus, study 2 will produce a greater power to detect an effect because it has a lower beta level

c.   x=2.4cm

step-by-step explanation:

similar triangles are triangles which have the same shape but not the same size. this means their angle measures are equal but their side lengths are not instead they are proportional. to solve, we will set up a proportion and solve.

a proportion is two equal ratios set equal to each other. we form the ratios by finding corresponding sides (sides which match to each other on both triangles by their position). out ratios will be one side of the small triangle over the corresponding side on the big triangle as shown below:

.

to solve the proportion, we'll cross multiply by multiplying numerator with denominator across the equal sign.

answer: median

step-by-step explanation:

the median is the middle value when a data set is ordered from least to greatest