STA2023 Exam 3

What are the alternative titles for a correlated T test

If the average height of males in the class is 5'10". We conclude that the average height of all males in the population of IRSC is also 5'10". This is an example of INTERVAL ESTIMATION.

A series of procedures in which sample data are used to make statements about the populations.

The Symbol for a Type 2 error is

We commit a Type II error when

We calculate a t crtical value of ±1.96 and a t of -2.17. Based on this information we would accept the null.

The Central Limit Theorem states that if an infinite amount of randomly selected sampled of a fixed n are drawn from a population:

Statistical Power is a function of what four things?

Two independent T tests have what four assumptions?

A one-tailed test is also referred to as

A one-tailed test is considered more scientifically credible

The alternative hypotheses states that there is a significant difference between group means and/or the relationship that is real and significant.

The goal of hypothesis testing is the accept the null in favor of the alternative.

If p< alpha we:

The statistical power is a function of four things: 1. [blank_start]mean difference[blank_end] 2. [blank_start]sample size[blank_end] 3. [blank_start]within group variability[blank_end] 4. [blank_start]alpha[blank_end]

sampling error is the distance of any sample mean from µ

If we reject the null hypothesis what happens to the p region of the standard distribution?

If p< alpha we:

A researcher is studying the effectiveness of a new daily treatment for asthma on overall lung capacity. The researcher randomly selected 15 asthma sufferers and measured their lung capacity. The researched then administered a 5 week course of treatment. After the 5 weeks she measured the participants' lung capacity again. What test did she use to measure the results.

Statistical power is represented by what symbol

We randomly assign two groups of coffee drinkers to avoid drinking coffee for one week. One group is given an apple each morning instead of coffee, the other group is given black tea. To measure the statistical difference between the times each group vocalized craving coffee we would use the two independent sample t test.

A researched is measuring the impact on the same dependent variable for two different groups. Which would be the best test to run?

Hypothesis testing is the most widely utilized set of inferential procedures in science.

Which category of Inferential Statistics are we employing when we are testing if a belief or claim about a population parameter is true?

What are the steps within the Repeated Measures Design?

The mean of the xbars on a sampling distribution equals

When we take a sample statistic and automatically conclude that it is, indeed, the corresponding population parameter we are using:

If an infinite amount of randomly selected samples of a fixed sample n are drawn from a population regardless of the shape of the distribution we are referring to:

What is the calculation for sampling distribution?

Power decreases as as mean difference increases

As Sampling size decreases, power increases

A study is being conducted on the efficacy of a new medication. As the study measures the results on more people, what two things happen to the hypothesis ?

WGV is a function of statistical power and it refers to

Sampling Error is the distance from any sample mean to mu

Our alpha is = to .05, we can assume that p=

Before we run any statistical test p ≠ alpha

It is more difficult to reject the null using a two tailed test because the critical values are higher

A two-tailed test predicts that outcomes will fall in one end of the distribution.

What is the appropriate statistical test to use when we have two independent sample groups

The most unique difference between repeated measures and other experimental designs is that in repeated measures, subjects serve as their own control.

A researcher breaks 20 adults into two groups and is using a two independent sample t test to calculate the effect of candy on attention span. Half of the group is given chocolate and the other half is not. The independent variable is [blank_start]the candy[blank_end] and the dependent variable is [blank_start]attention span[blank_end]. Alpha is .05 and we set p to [blank_start].05[blank_end]. The Null Hypothesis is [blank_start]Hsub0: µ1 = µ2[blank_end], the alternate hypothesis is [blank_start]Hsub1: µsub1 ≠ µsub2[blank_end].

When µ is known and sigma is known what calculation do you use?

Sigma is known and s is given, so we will use the:

When testing a hypothesis where Pearson r is given, the null hypothesis is [blank_start]Hsub0: rho = 0[blank_end] and the alternate hypothesis is [blank_start]Hsub1: rho ≠ 0[blank_end]

In a correlated t test the null hypothesis would be what?

Heights are measured from a random sample of 50 females is taken from the IRSC student body. Based on the rules of Generalization, why can we generalize these to a greater population?

To calculate the degrees of freedom for a t test calculate n - 1

A group of volunteers take part in a study to test the effects of sunlight on skin tone. The results can be generalized to the population.

Vets tested the effectiveness of wet food on cavities and gum disease in cats.

In two tailed hypothesis test the two critical values divide the area under the sampling distribution into

We have accepted a Null. What is the chance that we achieved a Type 2 error (ß)

In hypothesis testing for a two-tailed test, the p-value is given by: