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1. Why do we use inferential statistics? What are the four possible outcomes of an experiment, formed by the combination of the decision to accept or reject the null hypothesis and whether the null hypothesis is ultimately true or false? Be sure to describe the two types of errors experimenters might make in drawing their conclusions. 2. Imagine you are interested in studying whether a motivation training program increases college student academic achievement. A) Describe the simplest possible experiment that you could conduct to contrast this program against a "no training" condition in a Spanish I class. Be sure to describe the IVs and levels, what you would use as a DV, and the statistic you would use to analyze the data. B) Describe a more complex experiment to compare this program against a control condition in both a Spanish I class and a French I class, again describing the IVs and levels, what you would use as a DV, and the statistic you would use to analyze the data.

          1. Why do we use inferential statistics? What are the four possible outcomes of an experiment, formed by the combination of the decision to accept or reject the null hypothesis and whether the null hypothesis is ultimately true or false? Be sure to describe the two types of errors experimenters might make in drawing their conclusions.

2. Imagine you are interested in studying whether a motivation training program increases college student academic achievement. A) Describe the simplest possible experiment that you could conduct to contrast this program against a "no training" condition in a Spanish I class. Be sure to describe the IVs and levels, what you would use as a DV, and the statistic you would use to analyze the data. B) Describe a more complex experiment to compare this program against a control condition in both a Spanish I class and a French I class, again describing the IVs and levels, what you would use as a DV, and the statistic you would use to analyze the data.

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1. Why do we use inferential statistics? What are the four possible outcomes of an experiment, formed by the combination of the decision to accept or reject the null hypothesis and whether the null hypothesis is ultimately true or false? Be sure to describe the two types of errors experimenters might make in drawing their conclusions.

2. Imagine you are interested in studying whether a motivation training program increases college student academic achievement. A) Describe the simplest possible experiment that you could conduct to contrast this program against a "no training" condition in a Spanish I class. Be sure to describe the IVs and levels, what you would use as a DV, and the statistic you would use to analyze the data. B) Describe a more complex experiment to compare this program against a control condition in both a Spanish I class and a French I class, again describing the IVs and levels, what you would use as a DV, and the statistic you would use to analyze the data.

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Elementary Statistics a Step by Step Approach

Allan G. Bluman 9th Edition

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Solved by Expert Kirsty Gledhill

04/07/2023

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We use inferential statistics to make generalizations or inferences about a population based on the information gathered from a sample of that population. Inferential statistics allow us to estimate population parameters and test hypotheses using sample data. The Show more…

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1. Why do we use inferential statistics? What are the four possible outcomes of an experiment, formed by the combination of the decision to accept or reject the null hypothesis and whether the null hypothesis is ultimately true or false? Be sure to describe the two types of errors experimenters might make in drawing their conclusions. 2. Imagine you are interested in studying whether a motivation training program increases college student academic achievement. A) Describe the simplest possible experiment that you could conduct to contrast this program against a "no training" condition in a Spanish I class. Be sure to describe the IVs and levels, what you would use as a DV, and the statistic you would use to analyze the data. B) Describe a more complex experiment to compare this program against a control condition in both a Spanish I class and a French I class, again describing the IVs and levels, what you would use as a DV, and the statistic you would use to analyze the data.

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00:01 Okay, so inferential statistics is when we study a sample to learn about the population.

00:05 And the reason we do that is to, because it's an unfeasible to study whole populations.

00:11 We can't ask everyone a question or survey everyone.

00:14 So it's helpful for us to just take samples of that and learn about the population from it.

00:19 So it wants to know the four outcomes of a hypothesis test.

00:24 So in a hypothesis test, we have a null hypothesis h -0 and an alternative hypothesis h -a.

00:32 And the four possible outcomes is that h0 is true, but we reject h0.

00:42 This is known as a type 1 error.

00:49 The second possibility is h0 is false and we reject h0, in which case the test has obviously done the right thing.

00:59 We could also have that h0 is true and we don't reject h0.

01:05 Again, the test is done the right thing here.

01:08 Or we could have that h &l is false and we don't reject it.

01:13 And then it's done the wrong thing again.

01:17 And this is a type 2 error.

01:25 So question 2 says, imagine you're interested in studying where the motivation training program increases college student academic achievement.

01:32 And they give us two scenarios.

01:35 The first is describe the simplest possible experiment that you can conduct to contrast this training program against no training program.

01:42 Program in a spanish class.

01:44 It wants the independent variables and the levels...

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