Question

In: Statistics and Probability

This is a sampling distribution question in intro statistics. During the last week of the semester,...

This is a sampling distribution question in intro statistics.

During the last week of the semester, students at a certain college spend on the average 4.2 hours using the school's computer terminals with a standard deviation of 1.8 hours. For a random sample of 36 students at that college, find the probabilities that the average time spent using the computer terminals during the last week for the semester is

a) at least 4.8 hours

b) between 4.1 and 4.5 hours

Please show your work.

Solutions

Expert Solution

Solution:

Given that,

mean =  = 4.2 hours

standard deviation =  = 1.8 hours

Sample = 36

= 4.2

=  ( /n) = (1.8 / 36 ) = 0.3

a ) p (   4.8)

= 1 -p (   4.8 )

= 1 - p ( - /) (4.8 - 4.2 / 0.3)

= 1 - p ( z 0.6 / 0.3 )

= 1 - p ( z 2 )

Using z table

= 1 - 0.9772

= 0.0228

Probability = 0.0228

b ) p ( 4.1 <   <  4.5)

= p (4.1 - 4.2 / 0.3) p ( - /) <  (4.5 - 4.2 / 0.3)

= p (- 0.1 / 0.3 < z < 0.3 / 0.3 )

= p (0.33 < z < 1 )

= p ( z < 1 ) - p ( z < 0 .33 )

Using z table

= 0.8413 - 0.6293

= 0.2120

Probability = 0.2120


Related Solutions

Sampling distribution question State the definition of sampling distribution? Let’s assume that we have a Bernoulli...
Sampling distribution question State the definition of sampling distribution? Let’s assume that we have a Bernoulli random variable X, X = a with probability 0.78, X = b with probability 0.22,   Where a and b are the third and fourth digit of your student number, respectively.(a=9,b=9) Develop a sampling distribution for sample means of the Bernoulli distribution when the sample size is 6 What is the expected value of sample means in question 3.b? What is the variance of the...
Criminology Statistics Chapter 5: The Sampling Distribution and Estimation Procedures (2) What is sampling error? How...
Criminology Statistics Chapter 5: The Sampling Distribution and Estimation Procedures (2) What is sampling error? How do we approximate it in our analyses – that is, what do we calculate, and what elements go into that calculation? What can researchers do to reduce sampling error?
This is a question from Intro to Bayesian Statistics but I can't figure out what is...
This is a question from Intro to Bayesian Statistics but I can't figure out what is expected here. Derive the posterior distribution of obtaining heads in coin flips. The prior has p(θ = .25) = .25, p(θ = .50) = .50, and p(θ = .75) = .25. The data consist of a specific sequence of flips with 3 heads and 9 tails, so p(Data|θ) = θ^3 (1 − θ) ^9.
1. A researcher has obtained the number of hours worked per week during the semester for...
1. A researcher has obtained the number of hours worked per week during the semester for a sample of 10 students: 21, 33, 26, 16, 32, 20, 29, 20, 19, 20 Use the data set to compute the mean, the median, the mode, the range, the sample variance, the sample standard deviation, the 10th percentile, The sum of the squared deviations of each value of X from the mean. Briefly explain what information about the variable is provided by your...
A sampling distribution refers to the distribution of:
A sampling distribution refers to the distribution of: repeated populations repeated samples a sample statistic a population parameter
In Chapter 9 question 37 for the Sampling distribution of a proportion. The manager of a...
In Chapter 9 question 37 for the Sampling distribution of a proportion. The manager of a restaurant in a commercial building has determined that the proportion of customers who drink tea is 14%, What is the probability the in the next 100 customers at least 10% will be tea drinkers? I increased my sample size to 200 and 400 and my number got closer to 1. What am I doing wrong?
Why is sampling distribution a theoretical distribution?
Why is sampling distribution a theoretical distribution?
Sampling and Sample Distribution and Errors: during those times it is difficult to count an entire...
Sampling and Sample Distribution and Errors: during those times it is difficult to count an entire population, sampling is one great way to test that population and the results. These are results that a statistic can take and how often each result can happen. The textbook in Chapter 7 discusses the Cell Phone Case Cost reduction by companies as one example. Briefly discuss the importance to a company when it comes to sampling. Terms like mean and standard deviation and...
Sampling and Sample Distribution and Errors: during those times it is difficult to count an entire...
Sampling and Sample Distribution and Errors: during those times it is difficult to count an entire population, sampling is one great way to test that population and the results. These are results that a statistic can take and how often each result can happen. The textbook in Chapter 7 discusses the Cell Phone Case Cost reduction by companies as one example. Briefly discuss the importance to a company when it comes to sampling. Terms like mean and standard deviation and...
QUESTION ONE The data below represent statistics and probability end of semester examination marks of 30...
QUESTION ONE The data below represent statistics and probability end of semester examination marks of 30 students randomly selected from the population of students who registered for probability and statistics during 2018/2019 academic year. 16 51 36 45 23 48 37 19 28 28 25 36 76 22 27 18 28 42 38 47 44 29 37 42 27 33 35 46 28 27 Using sturge’s approximation rule with all your answers in one decimal place, construct a frequency distribution...
ADVERTISEMENT
ADVERTISEMENT
ADVERTISEMENT