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A a study found that the number of churches in

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Question A a study found that the number of churches in the number of bars in towns across the United States is positively Associated this means that

#30.Year 1940 1950 1960 1970 1975 1980 1985 1990CPI 14.0

Question #30.Year 1940 1950 1960 1970 1975 1980 1985 1990CPI 14.0 24.1 29.6 38.8 53.8 82.4 107.6 130.7During which decade was inflation the highest, as measured by the percentage change in the CPI?1940s1950s1960s1970s1980s

Question A) A company operates 3 production plants in the

Question Question A) A company operates 3 production plants in the USA. After production, they ship the appliances to 4 regions of the country (North, South, East and West). The table below summarizes shipping costs per unit between all plants and regions, as well as plant capacities and estimated demands for each region. The appliance company wants to minimize shipping costs while meeting demand and without exceeding the plants’ capacities. Suppose the market analyst for the appliance company revises her estimate for demand in the North. According to new data, demand in the North is expected to increase by 50 units. How will this change in demand affect the appliance company? Attached is the sensitivity report.If demand in the North increases by 50 units, profits will increase by $7,500.   If demand in the North increases by 50 units, shipping costs will increase by $5500.  If demand in the North increases by 50 units, shipping costs will increase by $7500.  If demand in the North increases by 50 units, the company should ship 150 additional units to the North.Question 2 Suppose the shipping problem of the appliance company in the previous question. Now suppose a bridge construction project closes a major highway which increases shipping costs from Plant 1 to the North region by 10%. How will this change affect the appliance company?1.This change in shipping costs may or may not affect the company. We need additional information to determine the exact effect. 2. This change in shipping costs will change the shipping plan. The company will ship fewer units on this route. 3. This change in shipping costs will not affect the shipping plan, but will increase the company’s shipping costs. 4.This change in shipping costs will change the shipping plan. The company will no longer use this route.Question 3Suppose the shipping problem from the previous questions. Suppose that Plant 1 expands its capacity to 500. How will this affect the company? 1. The capacity increase will affect neither the shipping plan nor shipping costs. 2. The capacity increase will lead to more units shipped from Plant 1, which will increase overall shipping costs by $150 per unit. 3. The capacity increase will lead to more units shipped from Plant 1. The effect on the firm’s shipping cost is unclear. 4.We need additional information to answer this question. ATTACHMENT PREVIEW Download attachment Image1.png Variable Cells Final Reduced Objective Allowable Allowable Cell Name Value Cost Coefficient Increase Decrease SC$13 Plant 1 North 450 150 30 150 SD$13 Plant 1 South 0 120 230 1E 30 120 SE$13 Plant 1 East 0 10 180 1E 30 10 SF$13 Plant 1 West 0 170 290 1E 30 170 SC$14 Plant 2 North 0 100 250 1E 30 100 SD$14 Plant 2 South 200 0 110 90 110 SE$14 Plant 2 East 300 0 170 10 170 SF$14 Plant 2 West 0 160 280 1E 30 160 SC$15 Plant 3 North 0 30 180 1E 30 30 SD$15 Plant 3 South 0 90 200 1E 30 90 SE$15 Plant 3 East 0 90 260 1E 30 90 SF$15 Plant 3 West 800 0 120 160 120 Constraints Final Shadow Constraint Allowable Allowable Cell Name Value Price R.H. Side Increase Decrease SG$13 Plant 1 Total shipped 450 O 450 1E 30 SG$14 Plant 2 Total shipped 500 0 600 1E 30 100 SG$15 Plant 3 Total shipped 300 0 500 1E 30 200 SC$16 Total received North 450 150 450 450 SD$16 Total received South 200 110 200 100 200 SE$16 Total received East 300 170 300 100 300 SF$16 Total received West 300 120 300 200 300Read more

#23. ToppingsCake Rainbow Sprinkles Chocolate Chips Gummy Bears Row TotalsChocolate

Question #23. ToppingsCake Rainbow Sprinkles Chocolate Chips Gummy Bears Row TotalsChocolate 10 6 27 43 Vanilla 11 9 2 22 Strawberry 12 5 18 35 Column Totals 33 20 47 100 What is the probability of receiving a chocolate cupcake with chocolate chips?0.13950.30000.06000.43000.0500#24.What is the probability that a cupcake is strawberry given that it has rainbow sprinkles?0.36360.34290.12000.3300none of the above#25.What is the probability that a cupcake is vanilla with either rainbow sprinkles or gummy bears?0.13950.26660.08800.14440.1300

1) A school is 65% male students. Looking at a

Question 1)     A school is 65% male students. Looking at a class of 10 students, what is the probability that 5 or fewer of the students are male? (assume binomial)1)     A school is 65% male students. Looking at a class of 10 students, what is the probability that exactly 3 of the students are male? (assume binomial)

Assist for a better understanding of below: The selection for

Question Assist for a better understanding of below: The selection for both boxes is the one displayed open. src=”/qa/attachment/9314582/” alt=”C7.jpg” /> ATTACHMENT PREVIEW Download attachment C7.jpg In a recent study, 100 males used a new weight-loss supplement, and all but 20 of them experienced weight loss after two weeks. In the same study, 50 females used the same supplement, and all but 14 of them experienced weight loss after two weeks. Fill in the blanks of the statement below to make the statement the most reasonable possible. The new weight-loss supplement was more effective on ? in the study because only ] % of them failed to lose weight after two weeks, whereas % of the ? failed to lose weight males females eks.

A bank is reviewing its risk management policies with regards

Question A bank is reviewing its risk management policies with regards to mortgages. To minimize the risk of lending, the bank wants to compare the typical mortgage owed by their clients against other home buyers. The average mortgage owed by Americans is $306,500 A bank is reviewing its risk management policies with regards to mortgages. To minimize the risk of lending, the bank wants to compare the typical mortgage owed by their clients against other home buyers. The average mortgage owed by Americans is $306,500 with a standard deviation of $24,500. Suppose a random sample of 150 Americans is selected.Identify each of the following, rounding your answers to the nearest cent when appropriate.(please show the steps)

What is the connection between the Margin of Error and

Question What is the connection between the Margin of Error and the confidence interval?

What are some (real world) examples of a positive correlation

Question What are some (real world) examples of a positive correlation where it would be inappropriate to conclude causation with the data in this scatter plot? Have to come up with a mathematical scenario that represents the data featured in this scatter plot with a correlation but no causation, but I am unsure how to think of something. Thank you! ATTACHMENT PREVIEW Download attachment Screen Shot 2019-08-09 at 5.43.18 PM.png

Production Volume (units) Total Cost ($)400 3430450 4080550 4878600 4884700

Question Production Volume (units) Total Cost ($)400 3430450 4080550 4878600 4884700 5913750 6402425 4273475 4362575 5089625 5446725 6017775 6591 ATTACHMENT PREVIEW Download attachment question 26.png Previous Page Next Page Page 26 0f 27 Regression — Interpret slope Regression – Interpretation Question 26 (4 points} An important application of regression in manufacturing is the estimation of cost of production. Based on DATA from Ajax Widgets relating cost [Y] to volume {X}, what is the cost per widget? C 7.54 8.21 8.?5 7.38 0000 None of the answers are correct

/>variable1 variable25.92418 16.01040-2.15342 6.90096-5.68710 3.20965-2.35173 8.118379.13267 20.863938.84593 17.884360.60205 11.339764.30225 13.72104-9.69073

Question />variable1 variable25.92418 16.01040-2.15342 6.90096-5.68710 3.20965-2.35173 8.118379.13267 20.863938.84593 17.884360.60205 11.339764.30225 13.72104-9.69073 0.22652-6.81619 2.886077.00841 14.483584.48845 15.564993.06470 11.36857-9.46731 1.140761.54090 12.95229-4.20144 5.793076.11798 15.915709.94412 16.967451.32124 10.86254-7.69106 1.104625.89874 15.93450-0.72913 10.471508.39173 17.99690-9.46846 0.72233 ATTACHMENT PREVIEW Download attachment question 25.png Regression – Assumptions Question 25 (4 points) You are required to setup a predictive equation involving variable 1 and variable 2. First. vou plot the DATA to determine if linear regression applies. You decide 0 The linear regression equation will be verv useful because the points have a strong linear pattern. 0 Linear regression is not applicable because it appears that there are two linear patterns indicating that the data come from two populations. 0 You need more information before deciding to use linear regression. 0 Linear regression is not applicable because the point pattern is curvilinear {has a curve}. 0 Linear regression is not useful because the points have no discernible pattern. Previous Page Next Page Page 25 Of 2?

Production Volume (units) Total Cost ($)400 4688450 4893550 5957600 6105700

Question Production Volume (units) Total Cost ($)400 4688450 4893550 5957600 6105700 7111750 7743425 4983475 5461575 6136625 6302725 7538775 7596 ATTACHMENT PREVIEW Download attachment question 27.png Regression – Estimation Regression – Estimation Question 2? (4 points) An important application of regression in manufacturing is the estimation of cost of production. Based on DATA from Ajax Widgets relating cost (Y) to volume (x1, what is the cost of producing 600 widgets? 0 None of the answers are correct. Previous Page Next Page Page 27 0f 27

Need help with statistics

Question Need help with statistics

The the weights of students in a large statistics class

Question The the weights of students in a large statistics class vary according to a normal distribution with mean 145 lb in standard deviation of 18 lb approximately what range covers the middle 95% of the students weights

In simple terms, with hypothesis testing, we are always trying

Question In simple terms, with hypothesis testing, we are always trying to come to a conclusion about a mean of a single variable or about the means of two variables. For instance, for hypothesis testing with one variable, you might test what the mean temperature of a healthy individual is (a study conducted by Alan Shoemaker). The null hypothesis (H0) might be, “The mean temperature of a healthy individual is 98.6 degrees Fahrenheit.” The alternate hypothesis (H1) would then be that the mean temperature of a healthy individual is NOT 98.6 degrees Fahrenheit. In Alan Shoemaker’s study, he tested 130 healthy individuals and found that in 62% of cases, the temperature was less than 98.6. The result was significant enough to reject the null hypothesis.For hypothesis testing with two variables, we might be interested in knowing if there is a difference in the mean value of properties sold by male real-estate agents and female real-estate agents in a given area of the country. The null hypothesis (H0) would be that there is no difference in the mean values of properties sold. Usually, the researcher is hoping to reject the null hypothesis, meaning that there is a difference between the mean price of properties sold by male real-estate agents as compared to properties sold by female real-estate agents. To determine whether or not to reject the null hypothesis, a significance test is conducted to determine if the results warrant rejecting the null hypothesis.

The the mean of any density curve is the point

Question The the mean of any density curve is the point where the curvature of the curve changes or point at which the curve reaches its highest value or point at which the curve would balance is made of solid material or point with half the area under the curve to its left and have to it’s right

What what percentage of the data may be found within

Question What what percentage of the data may be found within -1 standard deviation of the normal distribution?

Please help me for these problems Attachment 1 Attachment 2

Question Please help me for these problems Attachment 1 Attachment 2 ATTACHMENT PREVIEW Download attachment 스크린샷 2019-08-09 오후 12.08.28.png 3. Let’s say a physician believes that a new blood pressure machine tests the Systolic blood pressure higher than it really is. He takes out a sample of 5 individuals and compares the blood pressure reading of these 5 individuals with the old blood pressure machine. He then takes out the same 5 people and reads it with the new blood pressure machine. Data is provided below:

Please help me out for this problem ATTACHMENT PREVIEW Download

Question Please help me out for this problem ATTACHMENT PREVIEW Download attachment 스크린샷 2019-08-09 오후 7.31.59.png 4. PA college president of a community college hears that 1/2 students drop out before obtaining an associates degree regardless of study. This president suspects this to be a bit high and goes into a data confidentiality agreement to obtain information of the past 10 years to see if this is true. Let’s say he obtains a record of n=9,000 students and it appears as if 1/4 of them have dropped out of college. At a = 0.05, does this support his conclusion that the dropout rate advertised is too high? Please state your null and alternative hypothesis, appropriate test statistic, as well as p-value . (Show all work)

Please help me out this problem ATTACHMENT PREVIEW Download attachment

Question Please help me out this problem ATTACHMENT PREVIEW Download attachment 스크린샷 2019-08-09 오후 7.33.16.png 5. (10 points) Scores on a high school math exam are normally distributed with u= 70 and standard deviation o= 15. What percent of students received a grade between 50 and 90 ? (Note: Round any Z-values to two significant figures).

A correlation cannot have the value of what

Question A correlation cannot have the value of what

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