Question

USDOT wants to know if drivers are driving faster than the posted speed limit of 65...

  1. 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.

Homework Answers

Answer #1

Here we will use one sample t test since here we want to test that whether mean speed is over 65 miles per hour or not based on the sample drawn from the population.

In order to conduct the test then hypothesis will be :

And since here population standard deviation is not known so we will use one sample t test and here test statistic will follow t distribution with n-1 degree of freedoms

So option A is correct.

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 the presence of children in the car is related to driving...
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 Two-way chi-square test of association. t for two independent samples. t for two matched (or dependent) samples. t for population correlations. Two-way Analysis of Variance.
We wish to see if, on average, traffic is moving at the posted speed limit of...
We wish to see if, on average, traffic is moving at the posted speed limit of 65 miles per hour along a certain stretch of Interstate 70.  On each of four randomly selected days, a randomly selected car is timed and the speed of the car is recorded.  The observed speeds are 70, 65, 70, and 75 miles per hour. Assume σ= 4.08. Assuming that speeds are Normally distributed with mean µ, we test whether, on average, traffic is moving at 65...
A research firm tracks the average highway speed of 30 drivers driving home on Day 1....
A research firm tracks the average highway speed of 30 drivers driving home on Day 1. For the next 10 days, the drivers are given two cups of coffee 1 hour before the drive home. On the 10th day, the average highway speed is measured again. Does this study involve dependent or independent samples? You are interested in knowing if there is a statistical difference in driving speeds between Day 1 and Day 10. Which statistical test would be appropriate?...
A research firm tracks the average highway speed of 30 drivers driving home on Day 1....
A research firm tracks the average highway speed of 30 drivers driving home on Day 1. For the next 10 days, the drivers are given two cups of coffee 1 hour before the drive home. On the 10th day, the average highway speed is measured again. Does this study involve dependent or independent samples? You are interested in knowing if there is a statistical difference in driving speeds between Day 1 and Day 10. Which statistical test would be appropriate?...
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
The traffic commissioner wants to know the average speed of all vehicles driving on River Rd....
The traffic commissioner wants to know the average speed of all vehicles driving on River Rd. Police use radar to observe the speeds for a sample of 20 vehicles on River Rd. For the vehicles in the sample, the average speed is 31.3 miles per hour with standard deviation 7.0 mph. Construct and interpret a 98% confidence interval estimate of the true population average speed of all vehicles on River Rd. Use a 98% confidence level. X = ________________________________________________________________________ population...
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...
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...
You are comparing the average price of gasoline in 10 different US cities. You sample gas...
You are comparing the average price of gasoline in 10 different US cities. You sample gas prices in each city. To see if there is at least one city that has different average prices, you would use Group of answer choices one sample t test independent sample t test dependent (matched) sample t test simple independent sample ANOVA dependent (matched) sample ANOVA factorial ANOVA 2. You want to see if there is any difference in how many students would vote...
   In 2017, a random sample of 1000 consumers showed that 435 of them had shopped at...
   In 2017, a random sample of 1000 consumers showed that 435 of them had shopped at a small business on Black Friday.  In 2019, a random sample of a different 1000 consumers showed 380 of them had shopped at a small business on Black Friday.  Test to see if the proportion of all consumers who shopped at a small business on Black Friday in 2017 is more than the proportion in 2019. (a) Is the data categorical or quantitative? (b)   How many groups/samples...