A biologist gathered data on the length in millimeters

Answer: 30. If you assume that the 600 lenses tested come from a population with a normal distribution (which they do), you can apply the empirical rule (also known as the 68-95-99.7 rule). Using the empirical rule, approximately 95% of the data lies within two standard deviations of the mean, and 5% of the data lies outside this range..

In 1965 Robert T. Paine 19 { }^{19} 19 gathered data on the length L L L, in millimeters, of the shell and the caloric content C C C, in calories, for a certain mollusk.The table below is adapted from those data.The accompanying table gives the lengths, L, of various organisms, in centimeters, and their top running speed, s, in centimeters per second. Animal Length (cm) Speed (cm/sec) animal A 0.08 0.87 animal B 0.42 6.9 animal c 9.0 250 animal D 15.0 710 animal E 16.0 470 animal F 24.0 720 animal G 25.0 750 animal H 60.0 2100 animal 1 120 2800.Transcribed image text: A biologist measures the length (in inches) of 11 baby snakes. Their lengths are given below. Length (inches) 5.24.74.36.44.95.15.5 4.8 4.34.65.2 Use a calculator to draw the histogram for this grouped data using 5 classes. Then use the histogram to determine the number of snakes that were less than 5.3 inches long.

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Research in evolutionary biology has been progressively influenced by big data such as massive genome and transcriptome sequencing data, scalar measurements of several phenotypes on tens to thousands of individuals, as well as from collecting worldwide environmental data at an increasingly detailed scale. The handling and …He should average the votes for each of the options and list the averages in a data table. He should analyze the votes for each option and summarize the findings in a paragraph. Click the card to flip 👆. He should total the votes for each of the options and plot these five values in a pie chart. Click the card to flip 👆.Step-by-step solution. Chapter 4.3, Problem 3SBE is solved. View this answer. View a sample solution. Step 1 of 2. Step 2 of 2.

Question. We have gathered data on running speed versus the length of small animals. We want to use either a linear model or an exponential model to fit the data. A biologist tells us that, for the group of small animals in our study, a 1-unit increase in length always results in the same increase in running speed.A marine biologist claims that the mean length of mature female pink seaperch is different in fall and winter. A sample of 6 mature female pink seaperch collected in fall has a mean length of 106 millimeters and a standard deviation of 14 millimeters.A fisheries biologist studying whitefish in a Canadian Lake collected data on the length (in centimeters) and egg production for 25 female fish. A scatter plo of her results and computer regression analysis of egg production versus fish length are given below. Note that Number of eggs is given in thousands (1.e., "40" means 40,000 eggs).This result is based on a sample of size 144. If the confidence interval 66.11< &mu; < 67.29 is obtained from the same sample data, what is the degree of ; Suppose that a random sample of 41 state college students is asked to measure the length of their right foot in centimeters. A 95 confidence interval constructed using the data is 21.709, 25 ...Step 1. From the data, the biologist calculated the least-squares regression line for predicting mass from length. The leastsquares regression line is shown in Plot 2. (b) Identify and interpret the slope of the least-squares regression line in context. (c) Interpret the coefficient of determination of the least-squares regression line, r2≈0. ...

Statistics and Probability questions and answers. A biologist measured the lengths of hundreds of cuckoo bird eggs. Use the relative frequency distribution below to answer the questions that follow. 0.8 Lengths of Cuckoo Bird Eggs Length (in millimeters) Percent of eggs 18.75-19.75 19.75-20.75 4.0 20.75-21.75 17.3 21.75-22.75 37.9 22.75-23.75 ...View 1293B7C1-B130-4A55-9A3A-2545E64DE900.jpeg from STA 2022 at North Carolina Central University. Apo Statistics 2022 Free-Response Questions JAmyA Smith Begin your response to QUESTION 1 on this ….

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Metric units of length measurement most commonly used in biology include the meter (m), centimeter (cm), millimeter (mm), micrometer (µm), and nanometer (nm). See Table 2.1, below. Table 2.1 Metric Units of Length Measurement Unit Meters Centimeters Millimeters Relative Size Meter (m) 1 m 100 cm 1000 mm largestMetric units of length measurement most commonly used in biology include the meter (m), centimeter (cm), millimeter (mm), micrometer (µm), and nanometer (nm). See Table 2.1, below. Table 2.1 Metric Units of Length Measurement Unit Meters Centimeters Millimeters Relative Size Meter (m) 1 m 100 cm 1000 mm largest

Question: Biologists gather data on a sample of fish in a large lake. They capture, measure the length of, and release 1,000 fish. They find that the standard deviation is 5 centimeters, and the mean is 25 centimeters. Fill in the blanks with the empirical model to show what length of fish we can expect to find.Statistics and Probability questions and answers. A biologist is studying rainbow trout that live in a certain river and she estimates their mean length to be 532 millimeters. Assume that the lengths of these rainbow trout are normally distributed, with a standard deviation of 125 millimeters. Use this table or the ALEKS calculator to find the ...A marine biologist was interested in seeing the relationship of a baby manatee's weight and age. She gathered data and wanted to construct a graph to display the data in order to observe the change in weight per year. Is a scatter plot or a line graph more appropriate to construct for the data, given the context of the problem? Explain.

myhr umkc Question #1: Regression for length and weight of gray wolves. Explain positive, linear, strong; interpret slope; find weight given length & residual. Question 1. Researchers …When it comes to conducting research, data analysis is a crucial step that helps researchers make sense of the information they have gathered. In the field of quantitative research... scentsy february 2024 warmer of the monthroyal smokes north ridgeville A biologist in the Northeast has gathered data on a random sample of 22 brown bears in New England and performed a regression analysis on the weight of the bears and their length. Some of the output is given below.Physics questions and answers. Procedure Part 1: Length Measurements 1 Gather the metric ruler, CD or DVD, key, spoon, and fork. 2 Look at the calibration marks on your ruler to determine the degree of uncertainty and number of significant figures that can be made when measuring objects with the ruler. Note: Record every measurement you make ... buffets in nashville tn data is shown below. Predictor Coef StDev T P Constant 1136 1226 0.93 0.376 Seats 14.673 4.027 3.64 0.005 S = 845.3 R-Sq = 57.0% R-Sq (adj) = 52.7% (a) What is the equation of the least squares regression line that describes the relationship between operating cost per hour and number of passenger seats in the plane? erika ayers nardini husbandcast of 3 ninjasfood city floral A biologist gathered data on the length, in millimeters (mm) and the mass, in grams (g), for 11 bullfrogs. Here are the data: (a) Make a scatterplot to display the relationship … lowe's home improvement martinsville va PLEASE HELP‼ A biologist measured the length and mass of 20 reptiles. the equation y = 0.3x - 2 is the line of the best fit for data, where x is the length, in centimeters, and y is the mass in grams. Based on the equation, what is the approximate length of a reptile that has a mass of 20.5 grams? a. why is my nest delayedolive garden jackson mishogun spokane A biologist gathered data on the length in millimeters, embarking on a meticulous study that delves into the intricacies of length measurement and its potential influencing factors. This comprehensive analysis employs rigorous data collection methods, statistical techniques, and data visualization to unravel the complexities surrounding length. a biologist gathered data on the length, in millimeters (mm), and the mass, in grams (g), for 11 bullfrogs. The data shown in Plot 1. a. Based on the scatterplot, describe the relationship between mass and length in context. From the data the biologist calculated the least square regression line for predicting mass from length.