Medical research has shown that repeated wrist extension beyond 20 degrees increases the risk of wrist and hand injuries. Each of 24 students at a university used a proposed new computer mouse design. While using the mouse, each student's wrist extension was recorded. Data consistent with summary values given in a paper are given. Use these data to test the hypothesis that the mean wrist extension for people using this new mouse design is greater than 20 degrees. (Use

α = 0.05.

Use a statistical computer package to calculate the P-value. Round your test statistic to two decimal places and your P-value to three decimal places.)

1. State your conclusion.

Reject H₀. We have convincing evidence that the mean wrist extension for all people using the new mouse design is greater than 20 degrees.

2. Are any assumptions required in order for it to be appropriate to generalize the results of your test to the population of students from this university?

We need to assume that the 24 students used in the study are representative of all students at the university.

3. Are any assumptions required in order for it to be appropriate to generalize the results of your test to the population of all university students?

1. We need to assume that the 24 students used in the study are representative of all students who use a wireless mouse.

2. We need to assume that the 24 students used in the study are representative of all students at the university.

3.. We need to assume that the 24 students used in the study are representative of all students who own PCs.

4. We need to assume that the 24 students used in the study are representative of all university students.

5.We need to assume that the 24 students used in the study are representative of all students in computer science classes

I am missing T and the third question

Describe a minimum of two strategies to encourage students to build the foundations of language process with students. How will you include families into the reading development and foundations of language process with students

Do female college students spend more time than male college students watching TV? This was one of the questions investigated by the authors of an article. Each student in a random sample of 46 male students at a university in England and each student in a random sample of 38 female students from the same university kept a diary of how he or she spent time over a three-week period.

For the sample of males, the mean time spent watching TV per day was 68.8 minutes and the standard deviation was 67.5 minutes. For the sample of females, the mean time spent watching TV per day was 93.8 minutes and the standard deviation was 89.1 minutes. Is there convincing evidence that the mean time female students at this university spend watching TV is greater than the mean time for male students? Test the appropriate hypotheses using

α = 0.05.

(Use a statistical computer package to calculate the P-value. Use μ_males − μ_females. Round your test statistic to two decimal places, your df down to the nearest whole number, and your P-value to three decimal places.)

State your conclusion.

a.Reject H₀. We do not have convincing evidence that the mean time female students at this university spend watching TV is greater than the mean time for male students.

b.Fail to reject H₀. We have convincing evidence that the mean time female students at this university spend watching TV is greater than the mean time for male students.     

c.Reject H₀. We have convincing evidence that the mean time female students at this university spend watching TV is greater than the mean time for male students.

d.Fail to reject H₀. We do not have convincing evidence that the mean time female students at this university spend watching TV is greater than the mean time for male students.

the council of higher education wants to compare the percentage of students that score A in two universities. in a random sample of 100 students from university one, 80 received a grade of A; and in a random sample of 160 students from university two, 120 received a grade of A. the 95% confidence interval for the difference in proportion of students who received a grade of A is ???

A public health researcher investigating the prevalence of cigarette smoking among senior high school students found that upon surveying a random sample of 150 male students, 37 responded that they regularly smoked cigarettes. A similar survey of 100 female senior students identified that 18 regularly smoked cigarettes. (a) Calculate the sample proportion of senior male students who smoke. (1 mark) (b) Using your value from part a) manually calculate a 95% confidence interval for the proportion of senior male students who smoke cigarettes. (c) Using your confidence interval, say if there is evidence that the prevalence of smoking in senior male students has changed from the accepted historic level of 30%. (d) Calculate the proportion of female senior students who smoke cigarettes (1 mark) (e) Calculate the pooled proportion of senior students who smoke cigarettes and use this to conduct a hypothesis test manually to determine if the current rate of smoking amongst female senior school students is less than that of their male counterparts. Please use a significance level of 5% and identify the six steps in your hypothesis test.

A study was conducted to determine whether there were significant differences between medical students admitted through special programs (such as retention incentive and guaranteed placement programs) and medical students admitted through the regular admissions criteria.

It was found that the graduation rate was 92.9% for the medical students admitted through special programs.

If 12 of the students from the special programs are randomly selected, find the probability that at least 11 of them graduated. prob = (Round to at least 4 decimal places!)

If 12 of the students from the special programs are randomly selected, find the probability that exactly 9 of them graduated. prob = (Round to at least 4 decimal places!)

Would it be unusual to randomly select 12 students from the special programs and get at least 11 that graduate?

Would it be unusual to randomly select 12 students from the special programs and get exactly 9 that graduate?

If 12 of the students from the special programs are randomly selected, find the probability that at most 9 of them graduated. prob = (Round to at least 4 decimal places!)

Would it be unusual to randomly select 12 students from the special programs and get at most 9 that graduate?

4. I sample 200 PCC students to see whether or not they drink coffee at school, and find the confidence interval for the proportion who say they do drink coffee to be (0.65, 0.78) at the 95% confidence level. For the statements below, determine if they are True or False. Make your responses clear and legible!

A. 95% of all students drink coffee between 65% and 78% of the time.

B. We’re 95% confident that the students sampled drink coffee between 65% and 78% of the time.

C. 147 of the students sampled said they drink coffee at school.

D. Between 65% and 78% of the students drink 95% of all the coffee drank at school.

E. 143 of the students sampled said they drink coffee at school.

F. We’re 95% confident that the true proportion of PCC students who drink coffee at school is between 65% and 78%.

G. We’re 95% confident that the interval between 65% and 78% has captured the true proportion of PCC students who drink coffee at school.

H. We’re between 65% and 78% confident that the true proportion of PCC students who drink coffee is 95%.

Suppose you want to study the effects of the number of students per classroom in algebra courses and students’ performance in algebra courses for high schools in Kansas. You collected a random sample and now you have data for the above two variables. You called them as number students (which refers to the number of students per classroom in algebra courses), and students performance (which refers to the students’ performance in algebra courses - measured as their final grade in a scale from 0 to 4). Therefore, you want to know how number students explains students performance

(a) What is the independent variable?

(b) What is the dependent variable?

(c) Using the variables names, write the simple linear regression model.

(d) Knowing that the OLS estimate for the intercept is 3.4, and for the slope is −0.02, write the estimated OLS regression line (or SRF) using the variables names.

(e) What is the predicted value for whichever is your dependent variable for a classroom with 20 students?

(f) What is the predicted effect on your dependent variable for each additional increment (i.e, when you increase one unit) of your independent variable?

Bulb A is labeled with power P and voltage V, bulb B is labeled with power P/2 and voltage V. These two bulbs are connected in series and then to some source of voltage, which is unknown. Which one produces greater illumination?

At T=Tc, (∂P/∂V)V T=Tc = 0 and (∂2P/∂V2)T=TC = 0. Use this information to derive expressions for a and b in the van der Waals equation of state in terms of experimentally determined Pc and Tc.