8% of men in the United States are colorblind. If we construct a sampling distribution based on samples of 150 men, what would the histogram of those

A researcher randomly purchases several different kits of a popular building toy. The following table shows the number of pieces in each kit in the sample. Find the median of the data. Building Toy Pieces 160 45 265 350 150 45 104 296 265 109 170 208

You may need to use the appropriate technology to answer this question. Suppose a company surveyed the work preferences and atitudes of 1,006 working adults spread over three generations: baby boomers, Generation X, and millennials. In one question, individuals were asked if they would leave their current job to make more money at another Job. The sample data are summarized in the following table. Generation Leave Job for More Money? Baby Boomer Generation X Millennial Yes 124 154 167 No 202 185 174 Conduct a test of independence to determine whether interest in leaving a current job for more money is independent of employee generation State the null and aiternative hypotheses Hg Interest in leaving job for more money is independent of the employee generation H, Interest in leaving job for more money is not independent of the employee generation. OH Interest in leaving job for mere money is mutually excusive of the employee generation H, Interest in leaving job for more money is not…

State whether you would expect this distribution to be symmetric, left-skewed, orright-skewed, and briefly explain: ages of people obtaining a driver’s license for the firsttime.

For the sample scores in the frequency distribution table below, the median is 1 4 4. 1 1 1 3.

In 2008, as an advertising campaign, the Nabisco Company announced a "1200 Chips Challenge," claiming that their 18-ounce bag of Chips Ahoy cookies contained an average of at least 1200 individual chocolate chips. Dedicated statistics students at the Air Force Academy (no kidding, they actually did this) purchased some randomly selected bags of cookies and counted the chocolate chips. Data from their sample is given below. %3D 1219, 1214, 1087, 1200 , 1419,1121 , 1325 , 1345 , 1244, 1258 , 1356, 1132, 1191 , 1270, 1295, 1135 Find a 95% confidence interval for the population mean number of chips in a bag of Chips Ahoy Cookies. (Give final answers to 2 decimal place accuracy) ANSWER: It can be stated with 95% confidence that the true population mean number of chocolate chips in a bag of Chips Ahoy Cookies lies in the interval <μ < chocolate chips per bag Based on this confidence interval, is the Nabisco Company justified in making their claim? O yes, because the true population mean is…

32% of TCNJ engineering majors are females. For a group of 50 engineering majors, find the variance for the number of females. Round your answer to the nearest integer.

The average fruit fly will lay 389 eggs into rotting fruit. A biologist wants to see if the average will be fewer for flies that have a certain gene modified. The data below shows the number of eggs that were laid into rotting fruit by several fruit flies that had this gene modified. Assume that the distribution of the population is normal. 358, 388, 362, 382, 371, 385, 384, 393, 403, 389, 405 What can be concluded at the the a = 0.10 level of significance level of significance? a. For this study, we should use Select an answer b. The null and alternative hypotheses would be: Ho? Select an answer♥ H₁ PS Select an answer c. The test statistic ? (please show your answer to 3 decimal

Are cigarettes bad for people? Cigarette smoking involves tar, carbon monoxide, and nicotine (measured in milligrams). The first two are definitely not good for a person's health, and the last ingredient can cause addiction. Use the data in the table above to make a stem-and-leaf display for milligrams of tar per cigarette smoked. (Enter NONE in any unused answer blanks.) Are there any outliers? A. Yes, 1.0 may be an outlier. B. No, there are no outliers.     C. Yes, 29.8 may be an outlier.

In order to compare the real estate markets in Pittsburgh and Philadelphia, a realtor selected a random sample of 150 homes in the Pittsburgh area and 100 homes in the Philadelphia area. Shown below are dotplots showing the distribution of home price for the homes in these two cities.