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Concept explainers
(a)
Interpretation:
The given pair of numbers 11.01 and 11.00 has same number of uncertainty or not has to be identified.
Concept Introduction:
Whenever a measurement is made, the significant figures in the measured quantity give the actual measurement. For this the significant figures should be recognized first. The significant figures may be non-zero digit and zero digit. But Zero may be or may not be a significant figure. The number of significant figures gives more information about the degree of uncertainty. This uncertainty is determined from the last digit. One should also note in which place the last digit appears, either in the tenth, or hundredth or thousandth place.
(b)
Interpretation:
The given pair of numbers 2002 and 2020 has same number of uncertainty or not has to be identified.
Concept Introduction:
Whenever a measurement is made, the significant figures in the measured quantity give the actual measurement. For this the significant figures should be recognized first. The significant figures may be non-zero digit and zero digit. But Zero may be or may not be a significant figure. The number of significant figures gives more information about the degree of uncertainty. This uncertainty is determined from the last digit. One should also note in which place the last digit appears, either in the tenth, or hundredth or thousandth place.
(c)
Interpretation:
The given pair of numbers, 0.000066 and 660,000 has same number of uncertainty or not has to be identified.
Concept Introduction:
Whenever a measurement is made, the significant figures in the measured quantity give the actual measurement. For this the significant figures should be recognized first. The significant figures may be non-zero digit and zero digit. But Zero may be or may not be a significant figure. The number of significant figures gives more information about the degree of uncertainty. This uncertainty is determined from the last digit. One should also note in which place the last digit appears, either in the tenth, or hundredth or thousandth place.
(d)
Interpretation:
The given pair of numbers, 0.05700 and 0.05070 has same number of uncertainty or not has to be identified.
Concept Introduction:
Whenever a measurement is made, the significant figures in the measured quantity give the actual measurement. For this the significant figures should be recognized first. The significant figures may be non-zero digit and zero digit. But Zero may be or may not be a significant figure. The number of significant figures gives more information about the degree of uncertainty. This uncertainty is determined from the last digit. One should also note in which place the last digit appears, either in the tenth, or hundredth or thousandth place.
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Chapter 2 Solutions
EBK GENERAL, ORGANIC, AND BIOLOGICAL CH
- You repeatedly draw samples ofn= 100 from a population with a mean of 75 and a standard deviation of 4.5. What sample mean corresponds to az-score of 2.00?arrow_forwardWhat is the expected genotype frequency of the homozygous recessive genotype under the Hardy-Weinberg equation P = 0.7? .49 .84 .42 0.09arrow_forwardI'm needing help with part 1 through 3, please The data of Sugar Water and Plain Water: mean # of drops variance degrees of freedom t stat t crit (from the table) plain water 25.3 17.221 38 -4.01 2.0261 sugar water 21.3 21.256 1. Make a statement about t stat in relation to t crit. And what is the p-value? 2. Is there a statistically significant difference between the mean values (mean # of drops) of the sugar and plain water? Give your "yes" or "no" answer and the supporting evidence. 3. Hypothesis: The surface tension of plain water is higher than the surface tension of sugar water. Do these results support or refute the hypothesis about the effect of dissolving salt in water on surface tension?arrow_forward
- The mean weight of cows in a population is 520 kg. Animals with a mean weight of 540 kg are used as parents and produce offspring that have a mean weight of 535 kg. What is the narrow-sense heritability (hN2) for body weight in this population of cows?a. 0.25 c. 0.75b. 0.5 d. 1.0arrow_forwardQUESTION 6 Which of the following is true? O a. 95% of the population exists within 1 standard deviation of the mean. b.5% of the population exists within 3 standard deviations of the mean. O c. 85% of the population exists within 2 standard deviations of the mean. d.95% of the population exists within 2 standard deviations of the mean. OCT 25 28 SC 80 F1 F2 F3 F4 F5 ! @ 2$ 1 3 4 5 Q W E R T A S D Farrow_forwardSuppose that you are interested in estimating a population mean. You select a random sample of items, and compute the sample mean and the sample standard deviation. You then compute a 95% confidence interval to be LCL=28.4 - UCL=37.9. So what does that mean? It means that you are 95% confident that the unknown population mean that you are estimating is between the LCL and UCL. So what does that mean? It means that if you were to iterate this sampling process many times, say 100, and calculate 100 confidence intervals, then 95 of those intervals will contain the unknown population mean, and 5 will not. Give me an example of how CI can be used in your work. FYI I work in Endocrinology dept. Specific diabetesarrow_forward
- All the following are methods used in.18 probability samples except one a. Simple random sampling O b. Systematic sampling c. Stratified sampling d. Snow ball sampling Oarrow_forwardM 3 0²/12 Here, na (sum of squared differences), na - 1 is the number of moose sampled from the population with wolves absent. Estimate the variance in moose fat stores (WOLVES ABSENT). To do this, divide the Sum of squared differences by the sample size minus one (na-1). Enter this value in the bottom row of the left half of the table. Q4.10. Make sure you're on track. What is your estimated variance for fat stores with wolves absent? Check Answerarrow_forwardCompare the 95% confidence interval for the difference between two true means with the 95% confidence interval for an individual true kean. Describe one way in which these two equations are similar and state four ways in which these equations differ.arrow_forward
- Drosophila buzzatii is a fruit fly that feeds on rotting fruits of cacti in Australia. The broad-sense heritability of body size (thorax length) was calculated from a natural population (raised in the wild) and from a D. buzzatii population collected from the same wild population but raised in the laboratory. They found an H2 in the wild population of 0.09, and an H2 in the lab-reared population of 0.40. Assume that the genetic variance is the same across populations. Which of the following is a valid possible reason for this difference? A. The phenotypic variance is larger for the wild population than for the lab population, due to greater environmental variation in the wild. B. The phenotypic variance is smaller for the wild population than for the lab population, due to less environmental variation in the wild. C. The question can not be answered without more information D. Both A and Barrow_forwardQUESTION 10 Find the x2 value using the following formula: X2= Z ((observed-expected)² / expected) Phenotype Observed Expected Wild type 1456 1514.25 Apterous 563 504.75 а. 45.65 b. 456.56 О с. 8.963 d. 896.3arrow_forwardE13. An animal breeder had a herd of sheep with a mean weight of 254pounds at 3 years of age. He chose animals with a mean weight of281 pounds as parents for the next generation. When these offspringreached 3 years of age, their mean weight was 269 pounds.A. Calculate the narrow-sense heritability for weight in this herd.B. Using the heritability value that you calculated in part A, whatmean weight would you have to choose for the parents to getoffspring that weigh 275 pounds on average (at 3 years of age)?arrow_forward