PSY 203 Exam 3

Which is the correct order of the following correlation coefficients in order from smallest to largest: -0.9, 0.82, 0.46, -0.043

• -0.9, 0.82, 0.46, -0.043

• -0.043, 0.46, 0.82, -0.9

• 0.82, -0.9, -0.043, 0.46

• -0.9, -0.043, -0.46, -0.82

In a study, a researcher wants to observe the relationship between number of hours studying and the level of motivation one feels in class. The correlation coefficient calculated between the two variables is -0.68. Which of the following statements is correct

• Another study showing a correlation coefficient of 0.45 has a stronger correlation than the study above

• the high scores on one variable go with low scores on the other variable (and lows with highs)

• The dots on the scatter plot of these data are very spread out from a straight line

• As the number of hours spent studying decreases, the level of motivation decreases.

What kind of correlation?

• Positive
• Negative
• No

Is r = -0.87 strong, moderate, or weak?

• strong

• moderate

• weak

Estimate the correlation coefficient for this scatterplot.

• r = 1.2

• r = 0.89

• r = 0.45

• r = -0.97

What's the difference between a chi square test for independence and a chi square test for goodness of fit?

• chi square test of independence tests for a relationship between two variables

• chi square test of goodness of fit tests for a relationship between two variables

• chi square test of independence tests for a relationship between two variables within one group

• chi square of goodness of fit tests to see if a selected variable is within a certain distribution

Given the following Scatter Plot, select the option that is most likely the r value.

Twenty types of beef hot dogs were tested for calories and sodium (mg). The hot dogs averaged 156.85 calories with a standard deviation of 22.64, and the sodium level averaged 401.15 mg with a standard deviation of 102.43 mg. The correlation was given as r = 0.887. The equation of the LSRL predicting sodium level from number of calories is:

• ŷ = -228.30 + 4.01x

• ŷ = 22.64 - 156.85x

• ŷ = 102.43 - 401.15x

• ŷ = 4.01 - 228.33x

• ŷ = 78.19 + 0.196x

A collection of statistical methods that generally requires very few, if any assumptions about the population distribution is known as

• Parametric methods

• Non- Parametric methods

• Semi Parametric methods

• None of the above

Chi square test is example of:

• Parametric test

• Non parametric test

• Descriptive test

• Survey test