Emily Dailey
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This is a quiz to use a s a test review for Dr. Strale's STA2023 Elementary Statistics Exam #3

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Emily Dailey
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STA2023 Exam 3

Question 1 of 52

1

What are the alternative titles for a correlated T test

Select one of the following:

  • paired T test

  • dependent sample t test

  • none of the above

  • all of the above

Explanation

Question 2 of 52

1

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.

Select one of the following:

  • True
  • False

Explanation

Question 3 of 52

1

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

Select one of the following:

  • Statistical Inference

  • Descriptive Statistics

  • Inferential Statistics

  • Random Sample

  • None of the above

Explanation

Question 4 of 52

1

The Symbol for a Type 2 error is

Select one of the following:

  • ß

  • 1-ß

  • Pearson r

  • µ

Explanation

Question 5 of 52

1

We commit a Type II error when

Select one of the following:

  • we reject the alternative when we should have accepted it

  • we accept the null when we should have accepted it

  • we fail to reject the null when we should have accepted it.

Explanation

Question 6 of 52

1

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

Select one of the following:

  • True
  • False

Explanation

Question 7 of 52

1

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

Select one of the following:

  • as the n increases, the distribution mean approaches normality

  • the mean of means equals µ

  • the dispersion of the means around µ is equal to the standard error of the mean

  • None of the above

  • All of the above

Explanation

Question 8 of 52

1

Statistical Power is a function of what four things?

Select one or more of the following:

  • Sample size (n)

  • Randomness

  • Mean difference

  • Independent observations

  • Alpha

  • Normality

  • Within Group Variability (WGV)

Explanation

Question 9 of 52

1

Two independent T tests have what four assumptions?

Select one of the following:

  • Homoscedasticity, Within Group Variability, Alpha, and Normality

  • Randomness, Normality, Homoscedasticity, and Independent Observations

  • Confidence Interval, Independent Observations, Within Group Variability, and Normality

Explanation

Question 10 of 52

1

A one-tailed test is also referred to as

Select one or more of the following:

  • one-tailed probablity

  • one-tailed hypothesis

  • non directional test

  • directional test

Explanation

Question 11 of 52

1

A one-tailed test is considered more scientifically credible

Select one of the following:

  • True
  • False

Explanation

Question 12 of 52

1

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

Select one of the following:

  • True
  • False

Explanation

Question 13 of 52

1

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

Select one of the following:

  • True
  • False

Explanation

Question 14 of 52

1

If p< alpha we:

Select one of the following:

  • reject the null

  • accept the null

Explanation

Question 15 of 52

1

Fill the blank spaces to complete the text.

The statistical power is a function of four things:
1.
2.
3.
4.

Explanation

Question 16 of 52

1

sampling error is the distance of any sample mean from µ

Select one of the following:

  • True
  • False

Explanation

Question 17 of 52

1

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

Select one of the following:

  • the p region increases

  • the p region decreases

Explanation

Question 18 of 52

1

If p< alpha we:

Select one of the following:

  • accept the null

  • reject the null

Explanation

Question 19 of 52

1

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.

Select one of the following:

  • two independent sample t test

  • correlated t test

  • sampling distribution

  • sampling error

Explanation

Question 20 of 52

1

Statistical power is represented by what symbol

Select one of the following:

  • 1-ß

  • alpha

  • ∑

  • µ

Explanation

Question 21 of 52

1

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.

Select one of the following:

  • True
  • False

Explanation

Question 22 of 52

1

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

Select one of the following:

  • two independent sample t test

  • correlated t test

Explanation

Question 23 of 52

1

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

Select one of the following:

  • True
  • False

Explanation

Question 24 of 52

1

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

Select one of the following:

  • Point Estimation

  • Interval Estimation

  • All of the above

  • Hypothesis Testing

  • None of the above

Explanation

Question 25 of 52

1

What are the steps within the Repeated Measures Design?

Select one or more of the following:

  • Experiment, Sample, Point Estimation

  • Pretest, Experiment, Post test, Difference

  • Hypothesis, Sample, Difference, Test

Explanation

Question 26 of 52

1

The mean of the xbars on a sampling distribution equals

Select one of the following:

  • µ

  • ß

  • 1-ß

  • none of the above

Explanation

Question 27 of 52

1

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

Select one of the following:

  • Interval Estimation

  • Point Estimation

  • Statistical Hypothesis

Explanation

Question 28 of 52

1

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:

Select one of the following:

  • The Central Limit Theorem

  • Interval Estimation

  • Sampling Distibution

Explanation

Question 29 of 52

1

What is the calculation for sampling distribution?

Select one of the following:

  • the distance from any sample mean from µ

  • the difference between Pearson r and rho

  • the difference between sigma and s

  • none of the above

Explanation

Question 30 of 52

1

Power decreases as as mean difference increases

Select one of the following:

  • True
  • False

Explanation

Question 31 of 52

1

As Sampling size decreases, power increases

Select one of the following:

  • True
  • False

Explanation

Question 32 of 52

1

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 ?

Select one or more of the following:

  • The sample size increases

  • The sample size decreases

  • The statistical power increases

  • The statistical power decreases

Explanation

Question 33 of 52

1

WGV is a function of statistical power and it refers to

Select one of the following:

  • Within Group Variability

  • Within Group Viability

  • Willingness Group

Explanation

Question 34 of 52

1

Sampling Error is the distance from any sample mean to mu

Select one of the following:

  • True
  • False

Explanation

Question 35 of 52

1

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

Select one of the following:

  • .01

  • .025

  • .05

  • 5

Explanation

Question 36 of 52

1

Before we run any statistical test p ≠ alpha

Select one of the following:

  • True
  • False

Explanation

Question 37 of 52

1

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

Select one of the following:

  • True
  • False

Explanation

Question 38 of 52

1

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

Select one of the following:

  • True
  • False

Explanation

Question 39 of 52

1

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

Select one of the following:

  • correlated t test

  • two independent sample t test

  • z test

  • point estimation

Explanation

Question 40 of 52

1

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

Select one of the following:

  • True
  • False

Explanation

Question 41 of 52

1

Select from the dropdown lists to complete the text.

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 ( the candy, the attention span ) and the dependent variable is ( attention span, the candy ). Alpha is .05 and we set p to ( .05, .01, .1, .025 ). The Null Hypothesis is ( Hsub0: µsub1 = µsub2, Hsub1: µsub1 ≠ µsub2, Hsub0: Xbar = µ, Hsub0: rho = 0 ), the alternate hypothesis is ( Hsub1: µsub1 ≠ µsub2, Hsub0: µsub1 = µsub2, Hsub1: µsub1 = µsub2, Hsub1: rho ≠ 0 ).

Explanation

Question 42 of 52

1

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

Select one of the following:

  • correlated t test

  • z test

  • two independent sample t

  • interval estimation

Explanation

Question 43 of 52

1

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

Select one of the following:

  • one sample t test

  • z test

  • correlated t test

  • standard deviation

Explanation

Question 44 of 52

1

When testing a hypothesis where Pearson r is given, the null hypothesis is and the alternate hypothesis is

Drag and drop to complete the text.

    Hsub0: rho = 0
    Hsub0: rho ≠ 0
    Hsub0: rho ≠ Pearson r
    Hsub1: rho ≠ 0
    Hsub1: rho ≠ Pearson r

Explanation

Question 45 of 52

1

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

Select one or more of the following:

  • Hsub0: µpre = µpost

  • Hsub0: µsub d bar = 0

  • Hsub1: µpre = µpost

Explanation

Question 46 of 52

1

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?

Select one of the following:

  • Because we had a large enough sample size

  • Because the sample was randomized

  • Because IRSC is a diverse school and represents various subsets of the female population

  • We cannot generalize these results

Explanation

Question 47 of 52

1

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

Select one of the following:

  • True
  • False

Explanation

Question 48 of 52

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.

Select one of the following:

  • True
  • False

Explanation

Question 49 of 52

1

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

Select one of the following:

  • This is a correlated t test

  • This is a two tailed independent t test

  • This is a sampling distribution

  • All of the above

  • None of the above

Explanation

Question 50 of 52

1

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

Select one of the following:

  • into two rejection and one nonrejection regions

  • into two rejection and two nonrejection regions

  • into one rejection and two nonrejection regions

  • into one rejection and one nonrejection regions

Explanation

Question 51 of 52

1

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

Select one of the following:

  • 5%

  • 1%

  • We do not calculate a numerical value for a Type 2 error

  • None of the above

Explanation

Question 52 of 52

1

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

Select one of the following:

  • the area under the curve between the mean and the observed value of the test statistic

  • twice the area under the curve between the mean and the observed value of the test statistic

  • the area in the tail beyond the observed value of the test statistic

  • twice the area in the tail beyond the observed value of the test statistic

Explanation

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