Researchers at the University of Mississippi wanted to determine whether the reaction time (in seconds) to go/no go stimulus of males differed from that of females. The researchers randomly selected 20 females and 15 males to participate. The go/no go stimulus required the student to respond to a particular stimulus and not to respond to other stimuli. Use this information to answer questions 2 and 3.
2. The researchers decided to construct a confidence interval to determine if the difference of the means is significant. To determine whether the confidence interval would be reliable they create Q-Q plots of both random samples and see that they are approximately normal. Are the requirements for constructing a confidence interval satisfied? Why or why not?
a. Yes. The distribution of the mean for each sample is normal since the researchers can apply the Central Limit theorem.
b. Yes. The distribution of the mean of each sample is normal since the data have been determined to be normal.
c. No. The distribution of the mean of each sample is not normal since the sample size is not large enough.
d. No. The company needs to check that all the data combined is normal.
3. Of the four types of confidence intervals listed below,
which one is appropriate for this experiment?
a. Confidence interval for μμ when σσ is known.
b. Confidence interval for μμ when σσ is unknown.
c. Confidence interval for the mean of differences, using dependent samples.
d. Confidence interval for the difference of means, using independent samples.
Researchers at the University of Mississippi wanted to determine whether the reaction time (in seconds) to...
This question is based on Ch10, but we can solve it using our knowledge from Ch9. In Ch 8, we created confidence intervals to test whether the means differed in a statistically significant manner between two independent (unrelated) populations, like males and females. The sample point estimator in the confidence interval was the difference in the sample means between the 2 samples (xbar - ybar). We created a confidence interval of the form: (xbar-ybar) +/- (Zα/2)[standard error of (xbar-ybar)] We...
96 68 72 76 84 A physician wants to develop criteria for determining whether a patient's pulse rate is atypical, and she wants to determine whether there are significant differences between males and females. Use the sample pulse rates below. Male 76 72 76 72 720 Female 68 72 96 84 6088 76 124 a. Construct a 95% confidence interval estimate of the mean pulse rate for males. << (Round to one decimal place as needed.) b. Construct a 95%...
3. Researchers are interested in whether the effects of DDT poisoning in rats are less extreme in males. An SRS of 100 male rats and an independent SRS of 100 female rats are obtained. The male rats had a sample mean of 39 and a sample standard deviation of 8. The female rats had a sample mean and standard deviation of 40 and 10, respectively. Let ui represent the true mean response for the males and u represent the true...
lots of parts please help!
Researchers wondered if there was a difference between male and females in regard to some common annoyances They asked a random sample of males and femalesthe following question "Are you arvioyed by people who repeatedly check the mobile phones while having an in person conversation Among the 513 males surveyed. 194 responded "Yesamong the 551 females surveyed. 212 responded "Yes" Does the evidence suggest a Highet proportion of females we annoyed by this behavior? Complete...
PLEASE ANSWER ALL PARTS The mean number of English courses taken in a two-year time period by male and female college students is believed to be about the same. An experiment is conducted and data are collected from 29 males and 16 females. The males took an average of four English courses with a standard deviation of 0.8. The females took an average of five English courses with a standard deviation of 1.1. Are the means statistically the same? (Use...
Assume that both populations are normally distributed. a) Test whether H1 H2 at the a= 0.01 level of significance for the given sample data. b) Construct a 99% confidence interval about 11 -42 n Sample 1 20 53.5 9.4 Sample 2 13 44.8 11.3 х s Click the icon to view the Student t-distribution table. a) Perform a hypothesis test. Determine the null and alternative hypotheses. A. HO HH2, H:17H2 O B. Ho H1 H2, H7:41 H2 OC. Ho H1...
Q.4 A group of researchers wants to estimate the true mean skidding distance along a new road in a certain forest. The skidding distances? (in meters) were measured at 20 randomly selected road sites. These values are given in the accompanying table. Complete parts a through d. 485 351 459 199 288 408 574 439 546 385 298 430 184 263 272 403 310 312 141 426 a. Estimate the true mean skidding distance for the road with a 90?%...
A survey asked, "How many tattoos do you currently have on your body?" Of the 1223 males surveyed, 186 responded that they had at least one tattoo. Of the 1032 females surveyed, 130 responded that they had at least one tattoo. Construct a 99% confidence interval to judge whether the proportion of males that have at least one tattoo differs significantly from the proportion of females that have at least one tattoo. Interpret the interval. Let p1 represent the proportion...
Two researchers conducted a study in which two groups of students were asked to answer 42 trivia questions from a board game. The students in group 1 were asked to spend 5 minutes thinking about what it would mean to be a professor, while the students in group 2 were asked to think about soccer hooligans. These pretest thoughts are a form of priming. The 200 students in group 1 had a mean score of 21.4 with a standard deviation...
Imagine that you are next interested in discovering whether or
not there are differences in minutes spent exercising per day
between males (coded as “1”) and females (coded as “2”) in your
sample. You hypothesize that males exercise more minutes per day
than females. You performed descriptive analyses and found that
minutes spent exercising was approximately normally distributed in
both groups (skewness = .26 for males, skewness = .07 for females).
You therefore decided to perform an independent samples t...