Purchases made at small "corner stores" were studied by the authors of a certain paper. Corner stores were defined as stores that are less than 200 square feet in size, have only one cash register, and primarily sell food. After observing a large number of cornerstore purchases in Philadelphia, the authors reported that the average number of grams of fat in a corner store purchase was 21.5. Suppose that the variablex = number of grams of fat in a corner store purchasehas a distribution that is approximately normal with a mean of 21.5 grams and a standard deviation of 8 grams. (Round your answers to four decimal places.)n USE SALT(a) What is the probability that a randomly selected corner store purchase has more than 31 grams of fat?(b) What is the probability that a randomly selected corner store purchase has between 14 and 26 grams of fat?(c) If two corner store purchases are randomly selected, what it the probability that both of these purchases will have more than 26 grams of fat?

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Answered: Purchases made at small "corner stores"…

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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An article discussed the opening of a Market. The following data compared the prices of some kitchen staples at the new Market (group 1) and at the old Market (group 2) located 15 blocks away. ITEM GROUP 1 GROUP 2 HALF GALLON MILK 16.8 22.0 DOZEN EGGS 11.7 15.2 ORANGE JUICE (64OZ) 15.6 18.7 HEAD OF LETTUCE 16.7 15.6 1LB GROUND BEEF 17.5 20.8 6OZ TUNA 18.1 19.5 1LB APPLES 14.1 17.0 LINGUINI 21.8 19.5 SALMON STEAK 1LB 13.9 16.5 WHOLE CHICKEN PER LB 20.8 24.0 A. Using a 0.01 level of signifcance and the p-value approach, what is the p-value? And what is your conclusion? Interpret
Mariah Jacobsen is the marketing manager at ABC Electronics, a major consumer electronics supplier in the northwest. Over the last five years, sales of the company's flagship product - the Wizer Anonymizer (the WA) - have been 45000, 45500, 44500, 46000 and 44000 units. This rate of sales is considered average for the product over the last twenty years or so. Ms. Jacobsen believes that the distribution of the WA's sales is normal with a standard deviation of 1500 units. If she were asked to make a forecast of next year's sales to upper management, what is the likelihood that she would be correct if she predicts sales between 43000 and 46000?
1. If the F ratio in an ANOVA is more extreme than the cutoff score, what does this suggest? a. there is a significant difference between population 1 and population 2 b. there is a significant difference between population 2 and population 3 c. there is a significant difference between populations (but we don’t know where it is) d. there is insufficient evidence for the research hypothesis 2. The equation for the best fit line of a scatter plot (also called the linear prediction rule) is what? a. y = a + bxc. t = r / √((1-r2)/df) b. β = b*(√SSX/√SSY) d. a = (MY – (b)(MX))/df
.
The following table lists highway miles (in MPG) and weight (in pounds) for a variety of cars, foreign and domestic (same data as before). CAR HWY WEIGHT Chev. Cavalier 31 2795 Lincoln Cont. 24 3930 Mitsubishi Eclipse 33 3235 Olds. Aurora 26 3995 Pontiac Grand Am 30 3115 Chev. Corvette 28 3220 BMW 3-Series 27 3225 Ford Crown Victoria 24 3985 Hyundai Accent If we let x be the weight and y be the Highway MPG, and we used Excel to compute the equation of the Least- 37 2290 Square regression line (which comes out to be y = -0.00672'x + 51.1156) as well as the correlation coefficient (which comes out to be -0.89). Then you used that equation to predict that the Highway Miles for a car that weighs just 1000 pounds would be 44.4 mpg. I think this prediction is accurate because the person used Excel for the computation. O I think this prediction is not accurate since a car that weighs 1000 pounds is not part of the original data list. O Ithink this prediction is not accurate because the person…
4.) A person's muscle mass is expected to decrease with age. To explore this relationship, a researcher randomly selected 10 persons from ages 40 to 79 years old and measured their muscle mass (unit). The result is as follows: X (age) Y (muscle mass) 71 64 43 67 56 73 68 56 76 65 82 91 100 68 87 73 78 80 65 84 Based on the given data, do the following: a) Plot the scatter diagram of the given data. [3pts] b) Obtain the regression line equation. [4pts] c) Estimate the muscle mass when age of the person is 60 years old. [3pts] 5.) Recognize how each shape has transformed. [2pts each] a.) b.) c.)
32)
5. A recent study indicates that simply giving college students (n-30) a pedometer can result in increased walking (Jackson & Howton, 2008). Students were given pedometers for a 12-week period, and asked to record the average number of steps per day during weeks 1, 6, and 12. a. Which variables are described in this scenario and what are their scales of measurement? b. Which test should you use?
Suppose a certain retailer sells several models of refrigerators. A random sample of the models sold by this retailer and their corresponding cubic feet (cu. ft.) and list price can be found below. Model Model 1 Model 2 Model 31 with Thru-the-Door Ice and Water. Model 4 Model 5 Model 6 with Thru-the-Door Ice and Water Model 7 Model 8. Model 9 with Thru-the-Door Ice and Water Model 10 with Thru-the-Door Ice and Water Model 11 with Thru-the-Door Ice and Water Model 12. Model 13 with Thru-the-Door Ice and Water Model 14 Model 14 Model 15 Model 16 with Thru-the-Door Ice and Water Model 17 Model 18 with Thru-the-Door Ice and Water Model 19 with Thru-the-Door Ice and Water Model 20 with Thru-the-Door Ice and Water Model 21 Cu.Ft. List Price 18.3 Ho: B₂ 20 H₂: B₁ 0 ⒸH₁: B₁ = 0 H₂: P₁0 24.8 25.4 19.3 17.3 19.6 25.0 25.4 26.0 25.6 18.0 25.0 20.2 24.5 $1,299.99 20.2 15.5 28.2 27.8 $899.99 23.6 $1,799.99 $1,799.99 $749.99 $599.99 $1,619.99 $999.99 $1,299.99 $1,299.99 $1,099.99 $679.99 $2,199.99…
Q.es 3. Final: In a large city, two newspapers are published, the Globe News and the Daily News. The circulation departments report that 27% of the city's households have a subscription to the Glob News and 41% subscribe to the Daily News. A survey reveals that 11% of all Not Marke households subscribe to both newspapers. What is the percentage of the city's households subscribe to at least one newspaper I Fl. O a.73 O b.46 O c.57 O d. 81 Previous page

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