Rows: Gender Columns: Method of Payment American Proprietary Card Visa ess Discover Mastercard All Change Case 18 11 32 4 74 Femaie 43.24 24.32 14.86 12.16 5.41 100.00 90.00 68.75 69.23 80.00 36.36 74.00 18 11 32 4 74 Male 2 8 26 7.69 19.23 15.38 30.77 26.92 100.00 10.00 30.77 31.25 20.00 63.64 26.00 7 26 5 4 ll 20 16 13 40 11 100 16.00 20.00 13.00 40.00 11.00 100.00 100.00 100.00 100.00 100.00 100.00 100.00 100 20 16 13 40 11 Cell Contents Count % of Row % of olumn % of Total 2.
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- Cholesterol Cholesterol in human blood is necessary, but too much can lead to health problems. There are three main types of cholesterol: HDL (high-density lipoproteins), LDL (low-density lipoproteins), and VLDL (very low-density lipoproteins). HDL is considered “good” cholesterol; LDL and VLDL are considered “bad” cholesterol. A standard fasting cholesterol blood test measures total cholesterol, HDL cholesterol, and triglycerides. These numbers are used to estimate LDL and VLDL, which are difficult to measure directly. Your doctor recommends that your combined LDL/VLDL cholesterol level be less than 130 milligrams per deciliter, your HDL cholesterol level be at least 60 milligrams per deciliter, and your total cholesterol level be no more than 200 milligrams per deciliter. (a) Write a system of linear inequalities for the recommended cholesterol levels. Let x represent the HDL cholesterol level, and let y represent the combined LDL VLDL cholesterol level. (b) Graph the system of inequalities from part (a). Label any vertices of the solution region. (c) Is the following set of cholesterol levels within the recommendations? Explain. LDL/VLDL: 120 milligrams per deciliter HDL: 90 milligrams per deciliter Total: 210 milligrams per deciliter (d) Give an example of cholesterol levels in which the LDL/VLDL cholesterol level is too high but the HDL cholesterol level is acceptable. (e) Another recommendation is that the ratio of total cholesterol to HDL cholesterol be less than 4 (that is, less than 4 to 1). Identify a point in the solution region from part (b) that meets this recommendation, and explain why it meets the recommendation.My question for my stats homework comes from the textbook Introduction to the Practice of Statistics Ninth Edition. This comes from section exercise 1.80. from the textbook, my professor wants me to caluate using the three columns. Can you help me slove this problem for me?Company A receives large shipments of microprocessors from Company B. It must try to ensure the proportion of microprocessors that are defective is small. Suppose Company A decides to test ten microprocessors out of a shipment of thousands of these microprocessors. Suppose that if at least one of the microprocessors is defective, the shipment is returned. Complete parts a through c. a. If Company B's shipment contains 8% defective microprocessors, calculate the probability the entire shipment will be returned. The probability is nothing.
- Apportionmentl. Two hundred new medicine board passer will be assigned in the different provincial hospitals of the different regions. Data of the hospitals as follows. Apportion the doctors in the different hospital by using Hamilton and Jefferson Plan to justify the answer. Show solution. RegionalHospital Bed capacityRegion 1 75Region 2 105Region 3 250NCR 400Region 4 162Region 5 134Insurance companies can lower their risks by A) using the law of large numbers to make the number of claims more predictable. B) diversifying across insurance products. C) granting large numbers of independent risk policies. D) all of the aboveCompany A receives large shipments of microprocessors from Company B. It must try to ensure the proportion of microprocessors that are defective is small. Suppose Company A decides to test 10 microprocessors out of a shipment of thousands of these microprocessors. Suppose that if at least one of the microprocessors is defective, the shipment is returned. Complete parts a through c.a. If Company B's shipment contains 8% defective microprocessors, calculate the probability the entire shipment will be returned.The probability is0.5656.(Round to four decimal places as needed.) I only need answer to B below:b. If Company B and Company A agree that Company B will not provide more than 3% defective chips, calculate the probability that the entire shipment will be returned even though only 3% are defective.The probability is (Round to four decimal places as needed.)
- Company A receives large shipments of microprocessors from Company B. It must try to ensure the proportion of microprocessors that are defective is small. Suppose Company A decides to test ten microprocessors out of a shipment of thousands of these microprocessors. Suppose that if at least one of the microprocessors is defective, the shipment is returned. Complete parts a through c. a. If Company B's shipment contains 12% defective microprocessors, calculate the probability the entire shipment will be returned. The probability is nothing. (Round to four decimal places as needed.) If Company B and Company A agree that Company B will not provide more than 5% defective chips, calculate the probability that the entire shipment will be returned even though only 5% are defective. The probability is (please show how you achieved answer).An investigative journalist is writing a report about the amount of sodium in snack foods. They believe name-brand snack foods have higher sodium levels than store-brand snack foods. They randomly select 8 pairs of common snack food types (purchasing a name-brand and store-brand for each type) and use a lab to determine how much sodium is in every 100 grams of snack food. Note: d=(Name-brand−Store-brand) Name-brand (in milligrams) Store-brand (in milligrams) 519 519 469 462 418 410 328 327 741 740 637 632 282 270 554 541 Assume that both of the populations are normally distributed. At the 0.10 level of significance, is there sufficient evidence to show there are higher sodium levels for name-brand snacks than store-brand snacks? Find the test statistic, t0. Round your answer to the nearest hundredth.Here are some summary statistics for the numbers of hectares of olives and apples harvested per region, for area that planted those crops. In Region A, there were 36 hectares of olives harvested and 18 hectares of Apples harvested. Relative to its crop, which plant had a better harvest? A: They had equally good harvests relative to their crops. B: The Olives. C: It’s impossible to say without seeing all of the harvest amounts. D: The Apples.
- A researcher's survey results indicate that about 50% of 12th graders consume less than 300g of vegetables at lunch, about 40% consume 300-600g, and only 10% of them consume more than 600g. A high school conducted a survey of student diets and health information, and reported data about 12th graders' vegetable intake at lunch is reported in the table photo. If researchers wants to find out whether the high school has the same proportions of 12th graders in the vegetable intake categories as reported by the survey, what would the appropiate test statistic be to use and why. Choosing between an ANOVA, Chi -Square independence tests, Chi Square Goodness of Fit, and One sample proportion test?An industrial engineer is investigating the effect of four assembly methods (A, B, C, D) on the assembly time for a color television component. Four operators are selected for the study. Furthermore, the engineer knows that each assembly method produces such fatigue that the time required for the last assembly may be greater than the time required for the first, regardless of the method. That is, a trend develops in the required assembly time. To account for this source of variability, the engineer uses the Latin square design shown below. Analyze the data from this experiment ( = 0.05) draw appropriate conclusions by conducting hypothesis testing. Order of Operator Assembly 1 2 3 4 1 C=10 D=14 A=7 B=8 2 B=7 C=18 D=11 A=8 3 A=5 B=10 C=11 D=9 4 D=10 A=10 B=12 C=14How do i find the occupancy rate for multiple lots? This spreadsheets contains more lots than given. I only provided are part of lot 1 and a part of lot 2 because the file is too large. They all run together in one file and need the occupancy rate which is column D on my spreadsheet. LotCode LotCapacity LotOccupancy OccupancyRate TimeStamp Day Lot01 863 174 11/20/2016 8:01 Sunday Lot01 863 179 11/20/2016 8:27 Sunday Lot01 863 189 11/20/2016 9:01 Sunday Lot01 863 197 11/20/2016 9:27 Sunday Lot01 863 226 11/20/2016 10:01 Sunday Lot01 863 247 11/20/2016 10:27 Sunday Lot01 863 331 11/20/2016 11:01 Sunday Lot01 863 400 11/20/2016 11:27 Sunday Lot01 863 469 11/20/2016 12:01 Sunday Lot01 863 510 11/20/2016 12:34 Sunday Lot01 863 594 11/20/2016 13:07 Sunday Lot01 863 618 11/20/2016 13:27 Sunday Lot01 863 637 11/20/2016 14:01 Sunday Lot01 863 655 11/20/2016 14:27 Sunday Lot01 863 634 11/20/2016 15:01 Sunday Lot01 863 597…