Question

Olympia's **second** hypothesis is: Athletes who
are fast runners [Run] are fast bikers [Bike]. **What
inferential procedure should she run to test her
hypothesis?**

Group of answer choices

Chi square test of Association

Dependent samples t-test

Independent samples t-test

Single sample t-test

Pearson correlation

Spearman correlation

Answer #1

The chi-square test provides a method for testing the association between the row and column variables in a two-way table. The null hypothesis H0 assumes that there is no association between the variables (in other words, one variable does not vary according to the other variable), while the alternative hypothesis Ha claims that some association does exist. The alternative hypothesis does not specify the type of association, so close attention to the data is required to interpret the information provided by the test.

Chi square test of association is the correct answer.

Fast runners and fast bikers are both categories of categorical variable. That means we are to check there is any association between fast runners and fast bikers or not.

Olympia's sixth hypothesis is: It will take
athletes more time to run 10 km [Run] than to swim 1.5 km [Swim].
What inferential procedure should she run to test her
hypothesis?
Group of answer choices
Dependent samples t-test
Pearson correlation
Spearman correlation
Independent samples t-test
Chi Square test of Association
Single sample t-test

Olympia's third hypothesis is: The average
total time [Total] it took the deities to complete the triathlon
was less than the world record set in 1996, which was 100 minutes.
What inferential procedure should she run to test her
hypothesis?
Group of answer choices
Single sample t-test
Dependent samples t-test
Independent samples t-test
Pearson correlation
Kendall's tau
Chi square Goodness of Fit test

Olympia's sixth hypothesis is: It will take
athletes more time to run 10 km [Run] than to swim 1.5 km [Swim].
Has she proposed a directional or non-directional
hypothesis?
Group of answer choices
directional
non-directional

Match the terms with their definitions. Most of this information
is from the chapters you have read in Cronk so far. They can also
be found in various places throughout your textbook.
Answer Choose...Paired-samples t test, Inferential statistics,
Descriptive statistics, Non-parametric inferential statistical
procedures, Chi-square, Correlation, Independent-samples t test,
Parametric inferential statistical procedure
1) This parametric statistical procedure is used when you have a
dependent variable that is interval (1, 2, 3, 4, .....and so on),
and an independent variable...

8) What type of analysis would you use to determine whether
students represent five selected counties in roughly equal
proportions, a university official randomly selects a group of 95
university students and finds that 60 of them came from the
5-county area. The distribution of the students across the five
counties is given below. Options
Independent Samples t-test
Dependent Samples t-test
Oneway Analysis of Variance (ANOVA)
Correlation
Chi-Square Goodness of Fit (One Sample Chi-Square)
Chi-Square Test of Indpendence
Card County...

Which of the following statements are true of correlation
coefficients?
Group of answer choices
The more negative the number is, the weaker the
relationship.
A correlation coefficient of -0.90 indicates that there is an
inconsistent relationship between the variables.
The closer the coefficient is to 1 or -1, the weaker the
relationship.
A correlation coefficient of 0.05 indicates that there is an
inconsistent relationship between the variables.
Which type of analysis is more flexible than an
independent-samples t-test and allows...

1a.) You want to know if an exercise intervention and a positive
psychology intervention can work together to increase happiness
(measured on a scale from 1-20). You assign participants to either
the exercise or no exercise group, and to either the psychology
intervention or no psychology intervention group. What kind of
statistical test does this call for?
Chi-square for independence
Dependent Samples t-test
Correlation
ANOVA
Independent Samples t-test
Chi-square for goodness of fit
Single Mean
1b.) Imagine you have conducted...

You are interested in comparing the average, systolic blood
pressure of women athletes during intense exercise to the healthy,
systolic blood pressure of the general population when at rest
(i.e. not during exercise) (µ = 120).
Because exercise increases systolic blood pressure, you predict
that the average, systolic blood pressure for women athletes during
exercise will be significantly greater than the systolic, resting
blood pressure (µ = 120). Your alpha level is 0.05. (50
points)
Note: Your test value in...

The P-value for a chi-square test is always one-tailed. This is
true because of all of the following reasons, EXCEPT:
Group of answer choices
Observed data that is either higher or lower than the null
hypothesis predicts will result in a positive chi-square value.
Only a large positive value of chi-square provides
stronger evidence to conclude HA.
A chi-square distribution is skewed.
The chi-square statistic is always positive, unlike a z
or t statistic which can be ether positive or...

You are interested in comparing the average, systolic blood
pressure of women athletes during intense exercise to the healthy,
systolic blood pressure of the general population when at rest
(i.e. not during exercise) (µ = 120).
Because exercise increases systolic blood pressure, you predict
that the average, systolic blood pressure for women athletes during
exercise will be significantly greater than the systolic, resting
blood pressure (µ = 120). Your alpha level is 0.05. (50 points)
Note: Your test value in...

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