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Yasmin Elwaer

Yasmin E.

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Consider the market for rubber bands.
a. If this market has very elastic supply and very inelastic demand, how would the burden of a tax on rubber bands be shared between consumers and producers? Use the tools of consumer surplus and producer surplus in your answer.
b. If this market has very inelastic supply and very elastic demand, how would the burden of a tax on rubber bands be shared between consumers and producers? Contrast your answer with your answer to part (a).

Consider the market for rubber bands. a. If this market has very elastic supply and very inelastic demand, how would the burden of a tax on rubber bands be shared between consumers and producers? Use the tools of consumer surplus and producer surplus in your answer. b. If this market has very inelastic supply and very elastic demand, how would the burden of a tax on rubber bands be shared between consumers and producers? Contrast your answer with your answer to part (a).

Principles of Economics

It is a hot day, and Bert is thirsty. Here is the value he places on each bottle of water:
\begin{align*} 
\mathrm{Value \, of \, first \,bottle} \quad \$7 \\ 
\mathrm{Value \, of \, second \,bottle} \quad \$5\\
\mathrm{Value \, of \, third \,bottle} \quad \$3\\
\mathrm{Value \, of \, fourth \,bottle} \quad \$1\\
\end{align*}
a. From this information, derive Bert's demand schedule. Graph his demand curve for bottled water.
b. If the price of a bottle of water is \$4, how many bottles does Bert buy? How much consumer surplus does Bert get from his purchases? Show Bert's consumer surplus in your graph.
c. If the price falls to \$2, how does quantity demanded change? How does Bert's consumer surplus change? Show these changes in your graph.

It is a hot day, and Bert is thirsty. Here is the value he places on each bottle of water: \begin{align*} \mathrm{Value \, of \, first \,bottle} \quad \$7 \\ \mathrm{Value \, of \, second \,bottle} \quad \$5\\ \mathrm{Value \, of \, third \,bottle} \quad \$3\\ \mathrm{Value \, of \, fourth \,bottle} \quad \$1\\ \end{align*} a. From this information, derive Bert's demand schedule. Graph his demand curve for bottled water. b. If the price of a bottle of water is \$4, how many bottles does Bert buy? How much consumer surplus does Bert get from his purchases? Show Bert's consumer surplus in your graph. c. If the price falls to \$2, how does quantity demanded change? How does Bert's consumer surplus change? Show these changes in your graph.

Principles of Economics

Melissa buys an iPhone for \$240 and gets consumer surplus of \$160.
a. What is her willingness to pay?
b. If she had bought the iPhone on sale for \$180, what would her consumer surplus have been?
c. If the price of an iPhone were \$500, what would her consumer surplus have been?

Melissa buys an iPhone for \$240 and gets consumer surplus of \$160. a. What is her willingness to pay? b. If she had bought the iPhone on sale for \$180, what would her consumer surplus have been? c. If the price of an iPhone were \$500, what would her consumer surplus have been?

Principles of Economics

The concentration (in milligrams per cubic centimeter) of a certain drug in a patient's body $t$ hr after injection is given by $$C(t)=\frac{t^{2}}{2 t^{3}+1} \quad(0 \leq t \leq 4)$$ When is the concentration of the drug increasing, and when is it decreasing?

Applied Calculus for the MLSS A Brief Approach

Applications of the Derivative

Applications of the First Derivative

Questions asked

ANSWERED

James Kiss verified

Numerade educator

Suppose IQ scores were obtained for 20 randomly selected sets of siblings. The 20 pairs of measurements yield ( ar{x}=98.24, ar{y}=98, r=0.881 ), ( P )-value ( =0.000 ), and ( hat{y}=-4.83+1.05 x ), where ( x ) represents the IQ score of the older child. Find the best predicted value of ( hat{y} ) given that the older child has an IQ of 90 ? Use a significance level of 0.05 . Click the icon to view the critical values of the Pearson correlation coefficient ( r ). The best predicted value of ( hat{y} ) is (Round to two decimal places as needed.) Critical Values of the Pearson Correlation Coefficient ( r ) Critical Values of the Pearson Correlation Coefficient ( r ) egin{tabular}{|l|l|l|} hline ( mathbf{n} ) & ( oldsymbol{alpha}=mathbf{0 . 0 5} ) & ( oldsymbol{alpha}=mathbf{0 . 0 1} ) \ hline 4 & 0.950 & 0.990 \ hline 5 & 0.878 & 0.959 \ hline 6 & 0.811 & 0.917 \ hline 7 & 0.754 & 0.875 \ hline 8 & 0.707 & 0.834 \ hline 9 & 0.666 & 0.798 \ hline 10 & 0.632 & 0.765 \ hline 11 & 0.602 & 0.735 \ hline 12 & 0.576 & 0.708 \ hline 13 & 0.553 & 0.684 \ hline 14 & 0.532 & 0.661 \ hline 15 & 0.514 & 0.641 \ hline 16 & 0.497 & 0.623 \ hline 17 & 0.482 & 0.606 \ hline 18 & 0.468 & 0.590 \ hline 19 & 0.456 & 0.575 \ hline 20 & 0.444 & 0.561 \ hline 25 & 0.396 & 0.505 \ hline 30 & 0.361 & 0.463 \ hline 35 & 0.335 & 0.430 \ hline 40 & 0.312 & 0.402 \ hline 45 & 0.294 & 0.378 \ hline 50 & 0.279 & 0.361 \ hline 60 & 0.254 & 0.330 \ hline 70 & 0.236 & 0.305 \ hline 80 & 0.220 & 0.286 \ hline 90 & 0.207 & 0.269 \ hline 100 & 0.196 & 0.256 \ hline ( mathbf{n} ) & ( oldsymbol{alpha}=mathbf{0 . 0 5} ) & ( oldsymbol{alpha}=mathbf{0 . 0 1} ) \ hline & & \ hline end{tabular}

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INSTANT ANSWER

samples and that the differences have a distribution that is approximately normal. Use a 0.01 significance level to test the claim that for males, their height is the same as their arm span. Click the icon to view the data from ANSUR II 2012. (Type integers or decimals. Do not round.) Identify the test statistic. \( \mathrm{t}=\square \) (Round to two decimal places as needed.) Identify the P-value. P-value \( =\square \) (Round to three decimal places as needed.) What is the conclusion based on the hypothesis test? Since the \( P \)-value is the significance level, the null hypothesis. There sufficient evidence to warrant rejection of the claim that there is no difference between heights and arm spans.

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ANSWERED

Aishwarya Krishnakumar verified

Numerade educator

Suppose IQ scores were obtained for 20 randomly selected sets of siblings. The 20 pairs of measurements yield x? = 98.24, y? = 98, r = 0.881, P-value = 0.000, and y? = - 4.83 + 1.05x, where x represents the IQ score of the older child. Find the best predicted value of y? given that the older child has an IQ of 90? Use a significance level of 0.05. Click the icon to view the critical values of the Pearson correlation coefficient r. The best predicted value of y? is. (Round to two decimal places as needed.)

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INSTANT ANSWER

samples and that the differences have a distribution that is approximately normal. Use a 0.01 significance level to test the claim that for males, their height is the same as their arm span. Click the icon to view the data from ANSUR II 2012. (Type integers or decimals. Do not round.) Identify the test statistic. \( \mathrm{t}=\square \) (Round to two decimal places as needed.) Identify the P-value. P-value \( =\square \) (Round to three decimal places as needed.) What is the conclusion based on the hypothesis test? Since the \( P \)-value is the significance level, the null hypothesis. There sufficient evidence to warrant rejection of the claim that there is no difference between heights and arm spans.

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ANSWERED

Paul A. verified

Numerade educator

2. A professor claims that the mean final mark for STAT1P98 is greater than 65. A sample of 35 students shows the sample mean is 67 with standard deviation 15. Test the professor's claim using a 0.05 significance level. a) State the null and alternative hypotheses. b) Calculate the test statistic (round it to 3 decimal places). c) Find the P-value (round it to 3 decimal places). d) Make a conclusion based on your answers in parts b) and c). e) Explain what would constitute a Type I error in this context. f) Explain what would constitute a Type II error in this context.

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ANSWERED

T. L. verified

Numerade educator

The test statistic of z = 2.79 is obtained when testing the claim that p ? 0.142. a. Identify the hypothesis test as being two-tailed, left-tailed, or right-tailed. b. Find the P-value. c. Using a significance level of ? = 0.05, should we reject H? or should we fail to reject H?? a. This is a test. b. P-value = (Round to three decimal places as needed.) c. Choose the correct conclusion below. A. Fail to reject H?. There is sufficient evidence to support the claim that p ? 0.142. B. Reject H?. There is sufficient evidence to support the claim that p ? 0.142. C. Reject H?. There is not sufficient evidence to support the claim that p ? 0.142. D. Fail to reject H?. There is not sufficient evidence to support the claim that p ? 0.142.

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ANSWERED

Supreeta N verified

Numerade educator

A simple random sample of front-seat occupants involved in car crashes is obtained. Among 2856 occupants not wearing seat belts, 31 were killed. Among 7848 occupants wearing seat belts, 10 were killed. Use a 0.01 significance level to test the claim that seat belts are effective in reducing fatalities. Complete parts (a) through (c) below. a. Test the claim using a hypothesis test. Consider the first sample to be the sample of occupants not wearing seat belts and the second sample to be the sample of occupants wearing seat belts. What are the null and alternative hypotheses for the hypothesis test? A. H0: p1 = p2, H1: p1 > p2 B. H0: p1 >= p2, H1: p1 != p2 C. H0: p1 != p2, H1: p1 = p2 D. H0: p1 = p2, H1: p1 != p2 E. H0: p1 <= p2, H1: p1 != p2 F. H0: p1 = p2, H1: p1 < p2 Identify the test statistic. z = (Round to two decimal places as needed.) Identify the P-value. P-value = (Round to three decimal places as needed.) What is the conclusion based on the hypothesis test? The P-value is [drop-down menu] the significance level of alpha = 0.01, so [drop-down menu] the null hypothesis. There [drop-down menu] sufficient evidence to support the claim that the fatality rate is higher for those not wearing seat belts. b. Test the claim by constructing an appropriate confidence interval. The appropriate confidence interval is < (p1 - p2) < . (Round to three decimal places as needed.) What is the conclusion based on the confidence interval? Because the confidence interval limits [drop-down menu] 0, it appears that the two fatality rates are [drop-down menu]. Because the confidence interval limits include [drop-down menu] values, it appears that the fatality rate is [drop-down menu] for those not wearing seat belts. c. What do the results suggest about the effectiveness of seat belts? A. The results suggest that the use of seat belts is associated with lower fatality rates than not using seat belts. B. The results suggest that the use of seat belts is associated with the same fatality rates as not using seat belts. C. The results suggest that the use of seat belts is associated with higher fatality rates than not using seat belts. D. The results are inconclusive.

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ANSWERED

T. L. verified

Numerade educator

The data given to the right includes data from 36 candies, and 6 of them are red. The company that makes the candy claims that 30% of its candies are red. Use the sample data to construct a 95% confidence interval estimate of the percentage of red candies. What do you conclude about the claim of 30%? Construct a 95% confidence interval estimate of the population percentage of candies that are red. % < p < % (Type an integer or decimal rounded to one decimal place as needed.) Is the result consistent with the 30% rate that is reported by the candy maker? Yes, because the confidence interval includes 30%. No, because the confidence interval does not include 30%. Weights (g) of a Sample Bag of Candy Red Blue Brown Green Yellow 0.949 0.865 0.717 0.969 0.948 0.953 0.853 0.735 0.755 0.951 0.809 0.906 0.853 0.806 0.714 0.777 0.796 0.707 0.781 0.856 0.765 0.753 0.918 0.773 0.831 0.999 0.873 0.958 0.984 0.732 0.898 0.834 0.862 0.749 0.989 0.814

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ANSWERED

Lucas Finney verified

Numerade educator

4. This question explores the effect of the sample size on the sampling distribution of the mean. a) Open Excel. Select Data Analysis, then select "Random Number Generation" from the available options. Use the following values when prompted to enter them: Click OK. Rename the new worksheet to Q4_a There will be 80 rows and 7 columns filled with numbers in a new Sheet on Excel. Consider each row as a random sample drawn uniformly from the numbers 1 to 10. In this case, you have 80 samples of size 7. In the first empty cell of the following empty column, enter a formula for the mean of the sample in the first row, then drag this formula down to the last row. In this case, you should enter the formula =AVERAGE(A1:G1) into cell H1. Dragging the formula down from cell H1 to H80 to find the remaining sample means. b) Create a histogram for the sampling distribution of the mean using the upper class limits 1, 2, 3, ..., 10. See picture below. Rename the worksheet to Q4_b. Edit the chart so that it reads "Created by (Your Name)" as the title. Rename the "Bin" column so that it includes lower and upper class limits (make the entries 0 to 1, 1.001 to 2, 2.001 to 3, 3.001 to 4, and so on). Set the gap width to 0%. Submit a screenshot of the histogram with its frequency distribution table. c) Repeat a) and b) with Number of Variables as 20 instead of 7. Select Chart Output. Rename the new worksheet to Q4_c1: Rename the worksheet containing the histogram to Q4_c2. d) How does the sampling distribution of the mean change as the sample size increases?

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ANSWERED

Supreeta N verified

Numerade educator

6. In a random sample of 1500 adults, 460 of the respondents have sleepwalked. a) Let ( p ) represent the proportion of all adults who have sleepwalked. Find a point estimate for ( p ) rounded to 3 decimals places. b) Find ( 90 % ) and ( 99 % ) confidence intervals for ( p ), again rounded to 3 decimal places. c) Using your ( 99 % ) confidence interval from part b), make a conclusion about the results of drawing the sample. d) Describe what happens to the width of the confidence interval as the level of confidence increases.

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