Statistics and Probability Answers

A survey of 100 students finds report they 48% are excited by the opportunity to take a statistics class. Construct a 95% confidence interval on the true proportion of students who are excited to take a statistics class

If mean of population is 25 then mean of sampling distribution is?

Question

A sample of students from an introductory markerting class was polled regarding the number of hours they spent studying for the last statistics exam. All students anonymously submitted the number of hours on a 3 by 5 card .there were 24 individuals in the one section of the course polled .the data was used to make inferences regarding the other students taking the course .there data are below :

4.5 22 7 14.5 9 9 3.5 8 11 7.5 18 20 7.5 9 10.5 15 19 2.5 5 9 8.5 14 20 8

A) compute the mean number of hours the marketing students spent studying for the last statistics exam

B)Compute a 99% confidence interval for hours spent studying for the last statistics exam

C)compute the proportion of marketing students who spent less then 10 hour a studying for the last statistics exam

D)compute a 98% confidence interval of the true population proportion of marketing students who spent less than 10 hours studying for the last statistics exam .

Question: In the city of hongkong 70 % of the people prefer Swabo candidate for mayoral position .suppose 30 from Hong Kong are were sampled .

i)what is the mean of the sampling description of p (sample propprtion)

ii)what is the standard error of p?

iii)what is the probability that 80% of this sample will prefer a candidate from swabo?

I would like to be help with this question


A)The weight of the adult females has a mean around ur kg and a standard deviation of 20kg .if the sample of 16 adult females choosen .

i) what is the probability that the average weight of these 16 randomly selected females will be below 60kg ?

ii)what is the probability that the average weight of these 16 randomly selected females will exceed 75kg?

iii)what is the probability that the average weight of these 16 randomly selected females will be between 65kg and 75 kg

B)in the city of Hongkong 70 of the people prefer a swamp candidate for a mayoral position .supposed 30 people from hongkong were sampled

i)what is the mean of the sampling distribution of P (sample proportion)

ii)what is the standard error of p?

iii)what is the probability that 80% of this sample will prefer a candidate from swamp?

Your favorite team is in the final playoffs. You have assigned a probability of 60% that it will win the championship. Past records indicate that when teams win the championship, they win the first game of the series 70% of the time. When they lose the series, they win the first game 25% of the time. The first game is over; your team has lost. What is the probability that it will win the series?

A binomial probability experiment is conducted with the given parameters. Compute the probability of x successes in the n independent trials of the experiment.
n =9​, p =0.8​, x ≤3
The probability of x ≤3 successes is ?. ​(Round to four decimal places as​ needed.)

According to a​ survey, 52​% of males between the ages of 18 and 24 lived at home in 2005​ (unmarried college students living in dorms are counted as living at​ home). A survey is administered at a community college to 19 randomly selected male students between the ages of 18 and 24​ years, and 16 of them respond that they live at home.
​(a) Based on the sample of 19 ​students, what proportion of community college males live at​ home?
​(b) Find the probability that 16 or more out of 19 community college male students live at​ home, assuming that the proportion who live at home is 52​%.
​(c) What might you conclude from this​ result?

When a newspaper or magazine article reports the results of a study and draws a conclusion without also reporting whether the results are statistically significant, what are the possible reasons for doing so? How seriously should you take the conclusion offered in such a study?

Consider the following case: Buses arrive at a particular bus stop after every 15 minutes, starting from 6AM. If a passenger arrives at the stop at a random time which is uniformly distributed between 9 am to 9.30 am, then find the probability that he waits for (a) less than 5 minutes for a bus (b) atleast 10 minutes for a bus