KARExplain how finding a confidence interval for a population variance is different from finding a confidence interval for a populationmean or proportion.Choose the correct answer below.OA. Unlike a confidence interval for a population variance, a confidence interval for a population mean or proportion does nothave a margin or error. The left and right endpoints must be calculated separately.OB. Unlike a confidence interval for a population variance, a confidence interval for a population mean or proportion does nothave a margin or error. The left and right endpoints must not be calculated separatelyOC. Unlike a confidence interval for a population mean or proportion, a confidence interval for a population variance does nothave a margin or error. The left and right endpoints must not be calculated separatelyOD. Unlike a confidence interval for a population mean or proportion, a confidence interval for a population variance does nothave a margin or error. The left and right endpoints must be calculated separatelyVO5GBCOYH&7NU***F8*0088MDSC9KF10OVAlt70°F Sunny AF11PVF12INCtriNextPrtSc{11/28/2022+11PgUpH

Here, Given that confidence interval for variance and confidence interval for mean or proportion.

Answered: Explain how In mean or proportion.…

MATLAB: An Introduction with Applications

6th Edition

ISBN:9781119256830

Author:Amos Gilat

Publisher:Amos Gilat

Chapter1: Starting With Matlab

Section: Chapter Questions

Problem 1P

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Eyeglassomatic manufactures eyeglasses for different retailers. They test to see how many defective lenses they made the time period of January 1 to March 31. The table gives the defect and the number of defects. Do the data support the notion that each defect type occurs in the same proportion? Test at the 5% level. Number of Defective Lenses Defect type Number of defects Scratch 1866 Right shaped - small 1935 Flaked 1979 Wrong axis 1921 Chamfer wrong 1864 Crazing, cracks 1991 Wrong shape 2004 Wrong PD 1895 Spots and bubbles 1917 Wrong height 1885 Right shape - big 1875 Lost in lab 1886 Spots/bubble - intern 1935 State the hypotheses.H0: Each defect type in the same proportion.Ha: Each defect type in the same proportion. Calculate the χ2 test statistic. Round expected values to two decimal places. Round χ2 to three decimal places.χ2 = Calculate the p-value. Round to four decimal places.p-value = State your decision.Since p-value 0.05,…
Suppose we measure GPA for people in our class, we find the mean is 2.8 and the median is 3.2. What can you say is most likely true about GPAs in our class?
A study was undertaken to see how accurate food labeling for calories on food that is considered reduced calorie. The group measured the amount of calories for each item of food and then found the percent difference between the measured and labeled amount of calories. The group also looked at food that was nationally advertised, regionally distributed, or locally prepared. Do the data indicate that at least one of the mean percent differences between the three groups is different from the others? The data is summarized in the table below. National Mean Standard Deviation Sample Size Local -2.1 Regional 27.1667 143.125 Fill in the hypotheses below: Ho: Select an answer Ha: Select an answer 10.3257 20.797 53.5922 20 12 8
The side-by-side dotplot below displays the arm spans, Which statement is NOT true? in centimeters, for two classes. The mean arm span appears to be similar for the two Arm Span (cm) Class A Class B classes. 8. 3 1 9 65 42 1 14 3 The arm spans for Class A have less variability than the arm spans for Class B. 5 6 0 22233 5 67 0 3 The arm spans for Class B have more variability than the arm spans for Class A. 16 99 5 16 The arm spans for Class A are roughly symmetric, while those for Class B are skewed left. 1 0 17 9965 17 320 18 0 12 6 6 18 6. 36 19 20 Key: 15|5 = 155 cm LO5 CO (ON7 O CO O C
The histogram describes the height of students in a math class. Is the data univariate or bivariate? Is the skewness left, right, or normal?
Select all true statements below (Multiple or none can be true). With a large, representative sample, the histogram of the sample data will follow the normal curve closely. If two lists of numbers have exactly the same average of 50 and SD of 10, then the percentage of entries between 40 and 60 must be exactly the same for both lists. Half of a list of numbers is always below its average. The median and average of a list of numbers are not necessarily close together.
In an Algebra class, the scores on a test are normally distributed. The middle 68% of the scores fall between 71 and 83. What are the mean and standard deviation for this data?
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Select whether the value of each statistic for the distances of the stars from Earth increases, decreases, or stays the same when the data point is removed.
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The problem below asks you to compare 4 different forecasting methodologies to determine which forecasting model results in the most accurate forecasts. Accuracy is determined by the lowest mean absolute deviation. Emergency calls to the 911 system of Greenville County for the past 24 weeks are shown below. Accurate forecasts are needed to determine the number of operators needed to staff the station. Week # of Calls 1 50 2 35 3 25 4 40 5 45 6 35 7 20 8 30 9 35 10 20 11 15 12 40 13 55 14 35 15 25 16 55 17 55 18 40 19 35 20 60 21 75 22 50 23 40 24 65 1. EXPONENTIAL SMOOTHING Compute the forecasts using α = .2. Calculate the MAD for weeks 4 through 24 only. Compute the forecasts using α = .6. Calculate the MAD for weeks 4 through 24 only. 2. SIMPLE LINEAR REGRESSION Use all of the data, weeks 1 - 24, to calculate the…
For an Economics test the mean score is 100 and the standard deviation is 10, and for an Accounting test the mean score is 50 and the standard deviation is 4. You are given the test scores of a student who took both tests. Determine on which test the student had a better score. Enter E if the student did better on the Economics test Enter A if the student did better on the Accounting test Enter S if the student did relatively the same on both tests. A student scores 125.6 on the Economics test and 60.2 on the Accounting test. The student did better/same on test.

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