A large group of students took a test in Statistics and the final grades have a mean of 70 and a standard deviation of 10. If we can approximate the distribution of these grades by a normal distribution, what percent of the students

a) scored between 50 and 90?

b) scored higher than 90?
c) should pass the test (grades≥50)

d)non of the above
d) should fail the test (grades<50)?

A recent article reported that a job awaits only one in three new college graduates. The major reasons given were an overabundance of college graduates and a weak economy. A survey of 200 recent graduates from your school revealed that 80 students had jobs. At the .01 significance level, can we conclude that a different proportion of students at your school have jobs? Use critical value approach.

One college class had a total of 80 students. The average score for the class on the last exam was 84.6 with a standard deviation of 5.3. A random sample of 34 students was selected.

a. Calculate the standard error of the mean.

b. What is the probability that the sample mean will be less than 86​?

c. What is the probability that the sample mean will be more than 85​?

d. What is the probability that the sample mean will be between 83.5 and 85.5​?

In 2015, the pew research center found that 59% of men and women believe online dating is a great venue for meeting people. You are interested in finding out if this number is the same for college students. You take a random sample of 220 college students and find that 140 of them said they believed that online dating is a great venue for meeting people. Test this claim with a 10% significance level using PHANTOMS.

Use the internet to search an example of a misleading advertisement in the media (e.g., Internet, television, radio, newspapers, etc.). Next, identify the premises and conclusions in the advertisement. What makes it misleading?

Note: All students are required to post a minimum of two (2) posts per online discussion thread. Students must have one (1) original post and a minimum of one (1) other post per discussion thread.

In this case, estimate the impact of certain factors on a variable of interest through linear regression. We are interested in finding out which factors have an impact on students’ grades in a stats course (dependent variable). Which independent variables would you include? State variables you chose to include and explain what kind of impact (positive or negative) you think it would have on the students grades and why.

46 percent of students who made a resolution of passing college with high GPA achieved their resolution. If we randomly select 134 students, whose resolution was to achieve high GPA and ask each if he or she achieved that resolution. Using normal approximation to binomial, what is the probability with using correction for continuity that at most 70 of them respond yes?

Group of answer choices

0.087

0.9382

0.003

0.0579

Students who get more sleep get better grades. You want to estimate the hours of sleep per night that a college student gets. You select 29 students; on average they slept 6.2 hours with a standard deviation of 1.8 hours. The standard error is 0.334. In order to be 90% confident of an estimate of the population mean, what is the margin of error? (Enter the value with three decimal places, using form #.###)

A nursing professor was curious as to whether the students in a very large class

she was teaching who turned in their tests first scored differently from the overall

mean on the test. The overall mean score on the test was 75 with a standard

deviation of 10; the scores were approximately normally distributed. The mean

score for the first 20 tests was 78. Did the students turning in their tests first score

significantly

different from the mean?

The 22,000 students at NCC have mean mileage on their vehicles of µ = 54,000 miles

       with a standard deviation of s = 3,125 miles. Assuming a normal distribution

   a) what is the probability that a randomly selected student has a car with mileage between 55,000
           and 60,000 miles?

b) what percent of student vehicles have mileage above 60,000 miles?

c) how many students have cars with mileage below 50,000?