Question

USDOT wants to know if the presence of children in the car is related to driving...

  1. USDOT wants to know if the presence of children in the car is related to driving speeds. Your data are (driving speed: mile/hour) of different drivers classified by the "presence of passengers" (none vs. some). You should analyze these data using
    1. Two-way chi-square test of association.
    2. t for two independent samples.
    3. t for two matched (or dependent) samples.
    4. t for population correlations.
    5. Two-way Analysis of Variance.

Homework Answers

Answer #1

It has two groups of different drivers classified by the "presence of passengers" (none vs. some) and measures their driving speed: mile/hour. The dependent variable driving speed is a continuous variable and the independent variable presence of passengers is nominal. So, the measurement of driving speed between the none and some passenges are independent. By the question we requared to compare the means of driving speed between the none and some groups of the presence of passengers. So, the appropriate test from the list is:

" t for two independent samples."

Know the answer?
Your Answer:

Post as a guest

Your Name:

What's your source?

Earn Coins

Coins can be redeemed for fabulous gifts.

Not the answer you're looking for?
Ask your own homework help question
Similar Questions
USDOT wants to know if drivers are driving faster than the posted speed limit of 65...
USDOT wants to know if drivers are driving faster than the posted speed limit of 65 miles per hour. The speeds of a sample of randomly selected drivers are compared to 65 mph limit. The appropriate test to see if drivers are exceeding 65 would be a: a. One sample t-test. b. Independent samples t-test. c. Matched (or dependent) paired samples t-test. d. A one-way chi-square.
QUESTION 25 Suppose we expand the study described in Question #24. Instead of looking only at...
QUESTION 25 Suppose we expand the study described in Question #24. Instead of looking only at juniors and seniors, we also take random samples of freshmen and sophomores. Which inferential statistical test would we use to determine whether there is a statistically significant effect of year-in-college on exam scores? independent-samples t test/two-sample t test dependent-samples t test / matched-pairs t test / related-samples t test / paired t test chi-square one-way ANOVA factorial ANOVA
Team SASK is studying distractions while driving. They watched people driving, and recorded any distractions they...
Team SASK is studying distractions while driving. They watched people driving, and recorded any distractions they saw. If someone had more than one distraction, they recorded that fact. They will analyze each distraction separately. For each, they want to know how common each distraction is. * What hypothesis test and/or confidence interval can you use for this? Single-sample t-test One sample proportion test (Chi-square test) Chi-square goodness-of-fit test Two-sample t-test Paired t-test One-way ANOVA Repeated-measures ANOVA Multi-way ANOVA Test for...
QUESTION 27 Suppose we want to know whether students feel more stressed at the beginning of...
QUESTION 27 Suppose we want to know whether students feel more stressed at the beginning of the semester or at the end of the semester. We take a random sample of students. Midway through the first week of classes, we ask the students to rate their current stress level on a scale from 0 (completely relaxed) to 100 (completely stressed out). Midway through the last week of classes, we ask the same students to rate their current stress level using...
1a.) You want to know if there are generational differences in concern regarding environmental sustainability. You...
1a.) You want to know if there are generational differences in concern regarding environmental sustainability. You administer a survey (0-50 scale) to 100 traditional college age students (aged 18-23) and their parents, and compare average levels of concern between the two groups (children vs. parents). What kind of statistical test does this call for? Correlation ANOVA Chi-square for independence Chi-square for goodness of fit Independent Samples t-test Single Mean Dependent Samples t-test 1b.) Imagine you have conducted the appropriate test...
2. For the following experiment/question, pick the most appropriate statistical test. You have the following statistical...
2. For the following experiment/question, pick the most appropriate statistical test. You have the following statistical tests as choices: some may be used more than once, others not at all. Assume homogeneity of variance (where applicable) and the validity of parametric tests (where applicable), unless something is directly stated (e.g., “the data are not at all normal”) or otherwise indicated (viz., by the inspection of the data) which would indicate a strong and obvious violation of an assumption. This means...
For the following experiment/question, pick the most appropriate statistical test. You have the following statistical tests...
For the following experiment/question, pick the most appropriate statistical test. You have the following statistical tests as choices: some may be used more than once, others not at all.  Assume homogeneity of variance (where applicable) and the validity of parametric tests (where applicable), unless something is directly stated (e.g., “the data are not at all normal”) or otherwise indicated (viz., by the inspection of the data) which would indicate a strong and obvious violation of an assumption. This means you must...
For the following experiment/question, pick the most appropriate statistical test. You have the following statistical tests...
For the following experiment/question, pick the most appropriate statistical test. You have the following statistical tests as choices: some may be used more than once, others not at all.  Assume homogeneity of variance (where applicable) and the validity of parametric tests (where applicable), unless something is directly stated (e.g., “the data are not at all normal”) or otherwise indicated (viz., by the inspection of the data) which would indicate a strong and obvious violation of an assumption. This means you must...
For the following experiment/question, pick the most appropriate statistical test. You have the following statistical tests...
For the following experiment/question, pick the most appropriate statistical test. You have the following statistical tests as choices: some may be used more than once, others not at all. Assume homogeneity of variance (where applicable) and the validity of parametric tests (where applicable), unless something is directly stated (e.g., “the data are not at all normal”) or otherwise indicated (viz., by the inspection of the data) which would indicate a strong and obvious violation of an assumption. This means you...
For the following experiment/question, pick the most appropriate statistical test. You have the following statistical tests...
For the following experiment/question, pick the most appropriate statistical test. You have the following statistical tests as choices: some may be used more than once, others not at all.  Assume homogeneity of variance (where applicable) and the validity of parametric tests (where applicable), unless something is directly stated (e.g., “the data are not at all normal”) or otherwise indicated (viz., by the inspection of the data) which would indicate a strong and obvious violation of an assumption. This means you must...