This semester we have discussed the following statistical analyses. Z-test One-Sample t-test

This semester we have discussed the following statistical analyses.

Z-test One-Sample t-test Independent Groups t-test Repeated Measures t-test

One-Way ANOVA Regression Correlation

1. Research shows that people who do well on the SAT tend to do well in college (they have a higher GPA). Likewise, students who do not do well on the SAT struggle in college (they have a lower GPA). This information is used by college admissions officials to determine if a student should be admitted or not. 5 points

Which of the statistical analyses described above was used to make a determination about your success as a student at WSU? Be specific.

2. Researchers are interested in the relationship between height and academic achievement. To do so, they want to investigate the relationship between GPA and height in inches.

Which of the tests indicated above should be used and why?

Which one is Correlation and which one is Regression? Why?

Expert Solution

1. Research shows that people who do well on the SAT tend to do well in college (they have a higher GPA). Likewise, students who do not do well on the SAT struggle in college (they have a lower GPA). This information is used by college admissions officials to determine if a student should be admitted or not.

This is correlation question because here we are correlating variables or we can say we are showing correlation. . For example Higher sat scores higher GPA.

2) Researchers are interested in the relationship between height and academic achievement. To do so, they want to investigate the relationship between GPA and height in inches.

In this question we want to find is there any relationship between one dependent variable and one indpendent variable. For this we use regression. So this is regression question because here we are predicting one dependent variable (GPA) by using one independent variable (Height).

milcah answered 10 months ago

The one-sample z-test and the one-sample t-test both test if a sample mean is representative of...

The one-sample z-test and the one-sample t-test both test if a sample mean is representative of a population. What is the difference between these two tests?

Decide and state whether a one-sample z test, a two- sample z test, or a t...

Decide and state whether a one-sample z test, a two- sample z test, or a t test is appropriate. Whichever test you choose, state your null hypothesis, then obtain a P -value and formulate a valid conclusion. 1a.) 20 subjects who do not speak German are asked to participate in a trial for a new type of crash course in the German language. 10 subjects are randomly placed in Group A, to test the new teaching method, while the other...

One of the key concepts we have discussed this semester is the concept of “Elasticity”. Generally...

One of the key concepts we have discussed this semester is the concept of “Elasticity”. Generally speaking, elasticity is simply a measure of how responsive one variable is to a change in another variable. While we have focused on the “own price elasticity of demand”, the “income elasticity of demand” and the “cross-price elasticity of demand” this concept can be extended to a number of different situations. (10 pts) The demand curve for a product is given by Qx=1,000-2Px+0.02Pz, where Pz...

Demonstration 1: Producing a One-Sample T Test In this chapter, we discussed methods of testing differences...

Demonstration 1: Producing a One-Sample T Test In this chapter, we discussed methods of testing differences in means between a sample and a population value. SPSS includes a One-Sample T Test procedure to do this test. SPSS does not compute the test with the Z statistic; instead, it uses the t statistic to test for all mean differences. The One-Sample T Test procedure can be found under the Analyze menu choice, then under Compare Means, where it is labeled One-Sample...

A statistical program is recommended. ONE-SAMPLE T TEST : The following observations are on stopping distance...

A statistical program is recommended. ONE-SAMPLE T TEST : The following observations are on stopping distance (ft) of a particular truck at 20 mph under specified experimental conditions. 32.1 30.5 31.6 30.4 31.0 31.9 The report states that under these conditions, the maximum allowable stopping distance is 30. A normal probability plot validates the assumption that stopping distance is normally distributed. a) Determine the probability of a type II error when α = 0.01,σ = 0.65, and the actual value...

what are the differences between: 1. one sample z-test 2. one sample t-test 3. independent sample...

what are the differences between: 1. one sample z-test 2. one sample t-test 3. independent sample t-test 4. dependent sample t-test 5. what type of information comes from a known population vs. your sample data

Conceptually, what are we doing when we test for statistical significance (such as in a z-test...

Conceptually, what are we doing when we test for statistical significance (such as in a z-test or t-test)? Where does the commonly used 95% confidence level come from? What is an effect size and what additional information does it provide about a finding?

Identify the appropriate statistical test for each research description: Single-sample z-test Single-samplet-test Independent samples t-test Related...

Identify the appropriate statistical test for each research description: Single-sample z-test Single-samplet-test Independent samples t-test Related samples t-test (repeated measures or matched samples) Correlation A researcher investigates whether single people who own pets are generally happier than singles without pets. A group of non-pet owners is compared to pet owners using a mood inventory. The pet owners are matched one to one with the non-pet owners for income, number of close friendships, and general health.

dentify the appropriate statistical test for each research description: Single-sample z-test Single-samplet-test Independent samples t-test Related...

dentify the appropriate statistical test for each research description: Single-sample z-test Single-samplet-test Independent samples t-test Related samples t-test (repeated measures or matched samples) Correlation An office manager wants to know if there’s a gender difference in punctuality. Over the period of one month, he records the number of days that each employee is late, to see if there’s a difference between male and female employees.

Given the other statistical tests discussed so far, like ANOVA, t test, and hypothesis test, what...

Given the other statistical tests discussed so far, like ANOVA, t test, and hypothesis test, what strengths does linear regression provide that the other tests do not? Identify a peer-reviewed study that uses linear regression in its analysis. Explain why linear regression was used and discuss one challenge in interpreting the results.

Question