A random sample of 28 observations taken from a population
Question A random sample of 28 observations taken from a population that is normally distributed produced a sample mean of 58.5 and a standard deviation of 7.5.Find the range for the p-value and the critical and observed values of t for the following test of hypothesis, using α=0.01.H0: μ=55 versus H1: μ>55.Use the t distribution table to find a range for the p-value.Round your answers for the values of t to three decimal places.< p-value <tcritical =tobserved =
Use the given graph to find the mean, median, and
Question Use the given graph to find the mean, median, and mode of the distribution.Mean: ____Median: _____Mode: _______ ATTACHMENT PREVIEW Download attachment ch1.png Use the given graph to find the mean, median, and mode of the distribution. 5 6 8
Weekly Experiment and Discussion – Part 1 – Due by
Question Weekly Experiment and Discussion – Part 1 – Due by Day 3 Please read and follow the directions very carefully! (Thank You!) FYI – This is similar to the experiment from Week # 4. Please complete the following: Step 1: Using Minitab, create 100 samples (c1-c100)of size 20(i.e., 20 rows of data) from a Normal Distribution with a Mean=100 and a Standard Deviation=15. (Why Mean = 100, and Sigma = 15? It’s the Mean and Standard Deviation of the Wechsler IQ Test which is one of the two “Gold Standard” IQ tests – the Stanford-Binet is the other) Step 2: Perform a two-tail hypothesis test ( using the 1-Sample Z option) on columns c1-c50. Enter a Standard Deviation of 15 and a Test Mean of 100 Step 3: Place a ‘ # ‘ after any p-value less than 0.05 Step 4: Perform a two-tail hypothesis test ( using the 1-Sample Z option) on columns c51-c100. Enter a Standard Deviation of 15 and a Test Mean of 110 Step 5: Place a ‘ $ ‘ after any p-value greater than or equal to 0.05 Step 6: Save the Minitab Project (not worksheet, but project) using W5-WED3-First_Initial_Last_Name (e.g., Eric Stratton would save as W5-WED3-EStratton) Step 7: Post your reply with attachment by Day #3. Step 8: When submitting the assignment, you must enter in the body of your post: The number of rows you had to mark with a ‘ #’ in Step #3 The number of rows you had to mark with a ‘ $’ in Step #5
How do I know which variables from a list that
Question How do I know which variables from a list that the instructor gave us are meaningless to interpret in terms of mean, standard deviation, and kurtosis
Its asking to prove the relationship between distributions and random
Question Its asking to prove the relationship between distributions and random variables. ATTACHMENT PREVIEW Download attachment image.png Example 6.4.7. The number of visits to an online store in a day is N ~ Pois() for some A. Each visitor makes a purchase with probability p. independently of anything else. Find the distribution of the number of purchases, X per day, and the joint distribution of N and N – X. Are the latter independent? To find the distribution of X, observe that what we are told is the following: given N = n, the number of purchases X is Binomial with parameters n and p. Therefore, PXIN(x/n) = (
How do I know what formula to use when a
Question How do I know what formula to use when a question says to assume that something is normally distributed with a mean 100 and standard deviation of 15. If 100 people are randomly chosen, what is the probability that the sample will between 98 and 102. I want to use z=x-mew/sigma/square root of n but I am not sure how to select the correct formula
An internet service provider (ISP) provides internet connections to 100,000
Question An internet service provider (ISP) provides internet connections to 100,000 customers. 10,000 of the customers have high-speed connections and 90,000 of the customers have low-speed connections. The ISP wants to know whether, on the average, customers who have high-speed connections use email more frequently than customers who have low-speed connections. To find out, the ISP takes a simple random sample of 150 high-speed-connection customers and an independent random sample of 200 low-speed-connection customers. For each customer in the sample, they find the number of email messages sent and received in the previous month. Then they compute the sample mean and sample standard deviation of each of the two sets of numbers.Let h denote the average number of emails sent and received in the previous month among all customers with high-speed connections, and let l denote the average number of emails sent and received in the previous month among all customers with low-speed connections. Let H and L be the corresponding sample means. Let Sh be the sample standard deviation of the number of emails sent and received in the previous month by customers with high-speed connections, and let Sl be the sample standard deviation of the number of emails sent and received in the previous month by customers with low-speed connections.Which of these hypotheses is the most appropriate null hypothesis for this problem? (Q1)? A: h = l B: h > l C: H < L D: h L F: H = LWhich of these hypotheses is the most appropriate alternative hypothesis for this problem? (Q2)? A: h = l B: H = L C: H L E: h lSuppose that the population distributions of the number of emails sent in the by high-speed-connection customers and by low-speed-connection customers both are nearly normal. Which of the following have probability histograms that can be approximated well by a normal curve, after transforming to standard units? (select all that apply)(Q3)? A: l B: h C: H D: L E: h – l F: H – LSuppose we construct a Z statistic by transforming H – L to standard units (approximately). Under the alternative hypothesis, the expected value of Z would be (Q4)? A: negative B: zero C: positive, so we should (Q5)? A: use a right-tail test B: use a left-tail test C: use a two-tail test D: consult a statisticianTo test the null hypothesis at significance level 5%, we should reject the null hypothesis if (Q6)? A: the z-score B: the absolute value of the z-score(Q7)? A: is less than B: is greater than(Q8) For high-speed-connection customers, the sample mean number of emails in the month is 385, and the sample standard deviation of the number of emails in the the month is 120. For low-speed-connection customers, the sample mean number of emails in the month is 364, and the sample standard deviation of the number of emails in the month is 146.The estimated standard error of H – L is (Q9) The z-score is (Q10) The P-value of the null hypothesis is (Q11) The ISP should reject the null hypothesis. (Q12)? A: false B: true Problem 2At a particular university in an urban area, official policy mandates that university-owned student housing shall rent for no more than 80% of the market rate for comparable housing. Rent for all two-bedroom university-owned student apartments is $680/month. All the university-owned two-bedroom student apartments have one bathroom, no view, and are comparable in construction, size, age, amenities, etc. To determine whether the rent satisfies the rules, an administrator proposes to compile as complete a list as he can of two-bedroom apartments for rent in the area, using sources including newspaper ads, commercial rental listing services, and bulletin boards. Then, he will take a simple random sample of 150 of the apartments in the list, and visit each one to determine whether it is comparable to the university-owned apartments in size, number of bathrooms, state of repair, amenities (such as laundry facilities, bathtub/shower), etc. He will compute the sample mean rent of those apartments he finds to be comparable to the university-owned apartments. Let r denote the mean rent of all comparable two-bedroom apartments in the area, and let R denote the sample mean rent of the comparable two-bedroom apartments the administrator finds. The administrator will approach the problem of determining whether the university is complying with the mandate as an hypothesis test.The most appropriate alternative hypothesis is (Q13)? A: r B: R(Q14)? A: $ (Q15) .Suppose that the administrator finds that 32 of the apartments are comparable to two-bedroom university-owned student apartments. Assume thatthese 32 apartments can be treated as a random sample of size 32 with replacement from the population of comparable two-bedroom apartments for rent in the area, andthe distribution of rents for comparable apartments in the area is approximately normal.Suppose that the sample mean of the rents is $859 and the sample standard deviation of the rents is $50.The estimated standard error of the sample mean is $ (Q16) The number of degrees of freedom for Student’s t-curve to approximate the probability histogram of the T statistic is (Q17) The observed value of the T statistic is (Q18) The P-value of the null hypothesis is (Q19) The null hypothesis should be rejected at significance level 1%. (Q20)? A: false B: trueA (two-sided) 99% confidence interval for the mean rent of comparable two-bedroom apartments in the area is from $ (Q21) (low) to $ (Q22) (high).
Health Sector Policy Change Proposal: Identify a real work health sector topic
Health Sector Policy Change Proposal: Identify a real work health sector topic where a Public Policy (not internal policy) is needed to address a key issue and create a positive change. Explore the issue to create a proposal advocating for change being sure to research the organization and the presenting need for change. The Policy should be a proposed change to law or regulation in MN.- The written proposal for change should include the following: – an overview of topic/issue – identification of the policy change/solution needed – justification for the policy change/solution – key stakeholders involved – a brief equity analysis – procedures and practices involved – ethical considerations – a clearly described proposed change (i.e. policy change), – impact of the proposed change (i.e. policy change) on stakeholders including vulnerable adults – how you would influence/advocate and lobby for change – who would be for and against this proposal? – what would the arguments be on both sides?This academic paper should cite relevant resources to support all declarative statements and conclusions using proper APA writing style.
ChiSquare- Goodness of Fit A sales region has been divided
Question ChiSquare- Goodness of Fit A sales region has been divided into five territories, each of which was believed to have equal sales potential. The actual Sales Volume for several sampled days is logged in the data below. At a = 0.05, do the territories have equal Sales Volume?Hint for this Question:If the territories have equal volume, then they should share the total volume equally. Recall the formula for DF for a tabulation of one row or one column. A B C D ESALES VOLUME 110 140 90 106 100 Which answer below is the best fit? H0: Territories have equal Sales Volume is rejectedwith pvalue 0.041. The counts are not consistent with the model ofequal proportions. Territories have unequal Sales Volume. H0: Territories have equal Sales Volume is not rejected withpvalue 0.074. The counts are consistent with the model of equalproportions. None of the answers are correct. H0: Territories have equal Sales Volume is not rejected withpvalue 0.334. the counts are consistent with the model of equalproportions. H0: Territories have equal Sales Volume is rejected withpvalue 0.012. The counts are not consistent with the model of equalproportions. Territories have unequal sales volume.
How do you get these answers? What technology do you
Question How do you get these answers? What technology do you have? I only have a regular calculator. A is 2.33. The attachment was a typo. ATTACHMENT PREVIEW Download attachment Question 4.png For each of the following situations, find the critical value(s) for z. a) Ho: p = 0.05 vs. HA: p
Directions: Fill in the highlighted blanks with the best word
Question Directions: Fill in the highlighted blanks with the best word or words.20) A probability of 0.75 converts to a percent of ANSWER21)In SPSS, what should you first click on (from the menu bar) to obtain descriptive statistics? ANSWER22)If a researcher concludes that their intervention had an effect when in fact it did not, they make a ANSWER error. 23)ANSWER is considered by many to be the most important type of validity as it assesses the extent to which an instrument accurately measures what it is designed to measure.
I am trying to figure out the formula for these
Question I am trying to figure out the formula for these problems. I’m not sure how to find the intersection or union between these problems. Can you please help me with the 1-7 problems. My teacher got into a car wreck and told us to read the book, but it doesn’t give but one example.
Use a calculator to verify that x style=”color:rgb(0,0,0);”> = 5823,
Question Use a calculator to verify that x style=”color:rgb(0,0,0);”> = 5823, x2 = 5,655,387, y = 589, y2 = 67,931 and xy = 565,199.
Issue and Research Questions Developed Using PICOT
PICOT is an acronym used to help develop clinical research questions and guide you in your search for evidence:P = Patient populationI = Intervention or issue of interestC = Comparison of interventions or comparison of interestsO = OutcomeT = Time frameFor example, you may wish to research the effects of interrupted sleep on cognition of ICU patients 65 or older.Using this PICOT model,In _________(P), how does __________ (I) compared to _________ (C) influence _________ (O) over ________ (T)?In ICU patients who are 65 or older, how does interrupted sleep (awakened one time or more in four hours) as compared to uninterrupted sleep influence the patient’s cognitive ability over 5 days?Assignment DirectionsBegin by selecting a topic in nursing or medicine that is of interest to you. Next, use PICOT to format possible research questions about that topic. Provide 3 possible PICOT research questions.Include the following:Your paper should:
Consider a fair 6-sided die. a) What is the expected
Question Consider a fair 6-sided die. a) What is the expected number of rolls before you see all 6 sides? b) Suppose you roll it 8 times. What is the expected sum of the 8 rolls? c) What is the variance of the sum of the 8 rolls from part b) ?
N people visit your blog everyday, where N ∼ Poisson(µ).
Question N people visit your blog everyday, where N ∼ Poisson(µ). Each visitor will read your posts with probability 1−p or leave without reading any post with probability p. On a given day, what is the expected value and the variance of the number of visitors who will actually read your posts?
Let X be a continuous random variable with pdf f.
Question Let X be a continuous random variable with pdf f. Show that E[ |X−a| ] is minimized when a is equal to the median of X. (The median of X is the value m such that X has an equal chance of being above or below m.)
X is a random variable with E[X] = 2 and
Question X is a random variable with E[X] = 2 and Var(X) = 8. a) Find Var(7X 2). />b) Find E[(X 5)2].
I am looking everywhere to find what it means when
Question I am looking everywhere to find what it means when mu1 and mu2 are negative values.
Suppose X and Y are random variables with the following
Question Suppose X and Y are random variables with the following joint density(see attached image) src=”/qa/attachment/9283869/” alt=”jointdensit.png” />Find Cov(X,Y ), and explain whether X and Y are independent. ATTACHMENT PREVIEW Download attachment jointdensit.png
QUESTION 8The first step you should take when analyzing your
Question QUESTION 8The first step you should take when analyzing your data is toa. conduct the inferential statistical tests you wish to perform.b. use exploratory data analysis to determine what patterns may be hidden in your data.plot group means. QUESTION 9For quantitative data (e.g., the number of milligrams of a drug), coding your data involvesa. dummy-codingb. transferring each subject’s score to a computer coding sheet. QUESTION 11In a positively skewed distribution, the meana. overestimates the center.b. is as accurate a measure of the center as is the medianc. accurately represents central tendency. QUESTION 12Examining individual scores makes the most sense whena. you have repeated measures of the same behavior.b. several subjects per treatment group provide data measured on an interval scale.
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