Introductory Statistics (10th Edition)
10th Edition
ISBN: 9780321989178
Author: Neil A. Weiss
Publisher: PEARSON
expand_more
expand_more
format_list_bulleted
Videos
Textbook Question
Chapter 6.3, Problem 100E
Green Sea Urchins. From the paper “Effects of Chronic Nitrate Exposure on Gonad Growth in Green Sea Urchin Strongylocentrotus droebachiensis” (Aquaculture, Vol. 242, No. 1–4, pp. 357–363) by S. Siikavuopio et al., we found that weights of adult green sea urchins are
- a. Find the percentage of adult green sea urchins with weights between 50 g and 60 g.
- b. Obtain the percentage of adult green sea urchins with weights above 40 g.
- c. Determine and interpret the 90th percentile for the weights.
- d. Find and interpret the 6th decile for the weights.
Expert Solution & Answer
Want to see the full answer?
Check out a sample textbook solution
Students have asked these similar questions
Green Sea Urchins. From the paper “Effects of Chronic Nitrate Exposure on Gonad Growth in Green Sea Urchin Strongylocentrotus droebachiensis” (Aquaculture,Vol. 242, No. 1–4, pp. 357–363) by S. Siikavuopio et al., we found that weights of adult green sea urchins are normally distributed with mean 52.0 g and standard deviation 17.2 g. Let x denote weight of adult green sea urchins.
a. Sketch the distribution of the variable x.
b. Obtain the standardized version, z, of x.
c. Identify and sketch the distribution of z.
d. The percentage of adult green sea urchins with weights between 50 g and 60 g is equal to the area under the standard normal curve between _______ and _______.
e. The percentage of adult green sea urchins with weights above 40 g is equal to the area under the standard normal curve that lies to the _______of _______.
The article “Arsenic and Mercury in Lake Whitefish and Burbot Near the Abandoned Giant Mine on Great Slave Lake” (P. Cott, B. Zajdlik, et al., Journal of Great Lakes Research, 2016:223–232) presents measurements of arsenic concentrations in fish found in Northern Canada. In a sample of 8 whitefish caught in Yellowknife Bay, the mean arsenic concentration in the liver was 0.32 mg/kg, with a standard deviation of 0.05 mg/kg. Can you conclude that the mean arsenic concentration in whitefish in Yellowknife Bay is greater than 0.3 mg/kg?
The article “Arsenic and Mercury in Lake Whitefish and Burbot Near the Abandoned Giant Mine on Great Slave Lake” (P. Cott, B. Zajdlik, et al., Journal of Great Lakes Research, 2016:223–232) presents measurements of arsenic concentrations in fish found in Northern Canada. a) In a sample of 8 whitefish caught in Yellowknife Bay, the mean arsenic concentration in the liver was 0.32 mg/kg, with a standard deviation of 0.05 mg/kg. Find a 95% confidence interval for the concentration in whitefish found in Yellowknife Bay. b) In a sample of 8 whitefish caught in Baker Pond, the mean arsenic concentration in the liver was 0.55 mg/kg, with a standard deviation of 0.36 mg/kg. Should the Student’s t distribution be used to find a 95% confidence interval for the concentration in whitefish found in Baker Pond? If so, find the confidence interval. If not, explain why not.
Chapter 6 Solutions
Introductory Statistics (10th Edition)
Ch. 6.1 - What is a density curve?Ch. 6.1 - State the two basic properties of every density...Ch. 6.1 - For a variable with a density curve, what is the...Ch. 6.1 - In each of Exercises 6.46.11, assume that the...Ch. 6.1 - In each of Exercises 6.46.11, assume that the...Ch. 6.1 - In each of Exercises 6.46.11, assume that the...Ch. 6.1 - In each of Exercises 6.46.11, assume that the...Ch. 6.1 - In each of Exercises 6.46.11, assume that the...Ch. 6.1 - In each of Exercises 6.46.11, assume that the...Ch. 6.1 - In each of Exercises 6.46.11, assume that the...
Ch. 6.1 - In each of Exercises 6.46.11, assume that the...Ch. 6.1 - A curve has area 0.425 to the left of 4 and area...Ch. 6.1 - A curve has area 0.613 to the left of 65 and area...Ch. 6.1 - Prob. 14ECh. 6.1 - A variable is approximately normally distributed....Ch. 6.1 - Precisely what is meant by the statement that a...Ch. 6.1 - Two normally distributed variables have the same...Ch. 6.1 - Which normal distribution has a wider spread: the...Ch. 6.1 - Consider two normal distributions, one with mean 4...Ch. 6.1 - Prob. 20ECh. 6.1 - True or false: The mean of a normal distribution...Ch. 6.1 - Prob. 22ECh. 6.1 - Sketch the normal distribution with a. = 3 and =...Ch. 6.1 - Prob. 24ECh. 6.1 - For a normally distributed variable, what is the...Ch. 6.1 - Prob. 26ECh. 6.1 - Prob. 27ECh. 6.1 - The area under a particular normal curve between...Ch. 6.1 - A variable has the density curve whose equation is...Ch. 6.1 - A variable has the density curve whose equation is...Ch. 6.1 - Waiting for the Train. A commuter train arrives...Ch. 6.1 - Bacteria on a Petri Dish. A petri dish is a small,...Ch. 6.1 - Fire Loss. The loss, in millions of dollars, due...Ch. 6.1 - Emergency Room Traffic. Desert Samaritan Hospital...Ch. 6.1 - Female College Students. Refer to Example 6.3 on...Ch. 6.1 - Female College Students. Refer to Example 6.3 on...Ch. 6.1 - Giant Tarantulas. One of the larger species of...Ch. 6.1 - Serum Cholesterol Levels. According to the...Ch. 6.1 - New York City 10-km Run. As reported in Runners...Ch. 6.1 - Prob. 40ECh. 6.1 - Ages of Mothers. From the document National Vital...Ch. 6.1 - Prob. 42ECh. 6.1 - Cloudiness in Breslau. In the paper Cloudiness:...Ch. 6.1 - Prob. 44ECh. 6.1 - Prob. 45ECh. 6.1 - Prob. 46ECh. 6.1 - Chips Ahoy! 1,000 Chips Challenge. Students in an...Ch. 6.1 - Gestation Periods of Humans. Refer to the...Ch. 6.1 - Delaying Adulthood. In the paper, Delayed...Ch. 6.2 - With which normal distribution is the standard...Ch. 6.2 - Without consulting Table II, explain why the area...Ch. 6.2 - Prob. 52ECh. 6.2 - Prob. 53ECh. 6.2 - Prob. 54ECh. 6.2 - Prob. 55ECh. 6.2 - Prob. 56ECh. 6.2 - Prob. 57ECh. 6.2 - Prob. 58ECh. 6.2 - Use Table II to obtain the areas under the...Ch. 6.2 - Use Table II to obtain the areas under the...Ch. 6.2 - Use Table II to obtain the areas under the...Ch. 6.2 - Use Table II to obtain the areas under the...Ch. 6.2 - Use Table II to obtain the areas under the...Ch. 6.2 - Use Table II to obtain the areas under the...Ch. 6.2 - Use Table II to obtain the areas under the...Ch. 6.2 - Use Table II to obtain the areas under the...Ch. 6.2 - Use Table II to obtain each shaded area under the...Ch. 6.2 - Use Table II to obtain each shaded area under the...Ch. 6.2 - In each part, find the area under the standard...Ch. 6.2 - The total area under the following standard normal...Ch. 6.2 - In Exercises 6.716.82, use Table II to obtain the...Ch. 6.2 - In Exercises 6.716.82, use Table II to obtain the...Ch. 6.2 - In Exercises 6.716.82, use Table II to obtain the...Ch. 6.2 - Prob. 74ECh. 6.2 - In Exercises 6.716.82, use Table II to obtain the...Ch. 6.2 - In Exercises 6.716.82, use Table II to obtain the...Ch. 6.2 - Prob. 77ECh. 6.2 - In Exercises 6.716.82, use Table II to obtain the...Ch. 6.2 - Prob. 79ECh. 6.2 - Prob. 80ECh. 6.2 - In Exercises 6.716.82, use Table II to obtain the...Ch. 6.2 - In Exercises 6.716.82, use Table II to obtain the...Ch. 6.2 - Complete the following table.Ch. 6.2 - Prob. 84ECh. 6.2 - Prob. 85ECh. 6.3 - Briefly, for a normally distributed variable, how...Ch. 6.3 - Explain why the percentage of all possible...Ch. 6.3 - Prob. 88ECh. 6.3 - Prob. 89ECh. 6.3 - A variable is normally distributed with mean 68...Ch. 6.3 - A variable is normally distributed with mean 10...Ch. 6.3 - Prob. 92ECh. 6.3 - A variable is normally distributed with mean 6 and...Ch. 6.3 - A variable is normally distributed with mean 68...Ch. 6.3 - A variable is normally distributed with mean 10...Ch. 6.3 - A variable is normally distributed with mean 0 and...Ch. 6.3 - Giant Tarantulas. One of the larger species of...Ch. 6.3 - Serum Cholesterol Levels. According to the...Ch. 6.3 - New York City 10-km Run. As reported in Runners...Ch. 6.3 - Green Sea Urchins. From the paper Effects of...Ch. 6.3 - Arterial Cord pH. Umbilical cord blood analysis...Ch. 6.3 - Elephant Pregnancies. G. Wittemeyer et al. studied...Ch. 6.3 - Gibbon Song Duration. A preliminary behavioral...Ch. 6.3 - Friendship Motivation. In the article Assessing...Ch. 6.3 - Brain Weights. In 1905, R. Pearl published the...Ch. 6.3 - Children Watching TV. The A. C. Nielsen Company...Ch. 6.3 - Heights of Female Students. Refer to Example 6.3...Ch. 6.3 - Womens Shoes. Research reveals that foot length of...Ch. 6.3 - College-Math Success. Researchers S. Lesik and M....Ch. 6.3 - Tipping. In the article Are Christian/Religious...Ch. 6.3 - Booted Eagles. The rare booted eagle of western...Ch. 6.3 - Emergency Room Traffic. Desert Samaritan Hospital...Ch. 6.3 - Let 0 1. For a normally distributed variable,...Ch. 6.3 - Express the quartiles, Q1, Q2, and Q3, of a...Ch. 6.3 - Express the kth percentile, Pk , of a normally...Ch. 6.4 - Under what circumstances is using a normal...Ch. 6.4 - Explain why assessing the normality of a variable...Ch. 6.4 - Explain in detail what a normal probability plot...Ch. 6.4 - How is a normal probability plot used to detect...Ch. 6.4 - Explain how to obtain normal scores from Table III...Ch. 6.4 - In each of Exercises 6.1216.126, we have provided...Ch. 6.4 - In each of Exercises 6.1216.126, we have provided...Ch. 6.4 - In each of Exercises 6.1216.126, we have provided...Ch. 6.4 - In each of Exercises 6.1216.126, we have provided...Ch. 6.4 - In each of Exercises 6.1216.126, we have provided...Ch. 6.4 - Prob. 126ECh. 6.4 - In Exercises 6.1276.130, a. use Table III in...Ch. 6.4 - Prob. 128ECh. 6.4 - In Exercises 6.1276.130, a. use Table III in...Ch. 6.4 - In Exercises 6.1276.130, a. use Table III in...Ch. 6.4 - Prob. 131ECh. 6.4 - In Exercises 6.1316.134, a. obtain a normal...Ch. 6.4 - Prob. 133ECh. 6.4 - Prob. 134ECh. 6.4 - Body Temperature. A study by researchers at the...Ch. 6.4 - Vegetarians and Omnivores. Philosophical and...Ch. 6.4 - Prob. 137ECh. 6.4 - Finger Length of Criminals. In 1902, W. R....Ch. 6.4 - Prob. 139ECh. 6.4 - Emergency Room Traffic. Desert Samaritan Hospital...Ch. 6.5 - Why should you sometimes use normal-curve areas to...Ch. 6.5 - The rule of thumb for using the normal...Ch. 6.5 - In Exercises 6.1436.160, X denotes a binomial...Ch. 6.5 - In Exercises 6.1436.160, X denotes a binomial...Ch. 6.5 - In Exercises 6.1436.160, X denotes a binomial...Ch. 6.5 - In Exercises 6.1436.160, X denotes a binomial...Ch. 6.5 - In Exercises 6.1436.160, X denotes a binomial...Ch. 6.5 - In Exercises 6.1436.160, X denotes a binomial...Ch. 6.5 - In Exercises 6.1436.160, X denotes a binomial...Ch. 6.5 - In Exercises 6.1436.160, X denotes a binomial...Ch. 6.5 - In Exercises 6.1436.160, X denotes a binomial...Ch. 6.5 - In Exercises 6.1436.160, X denotes a binomial...Ch. 6.5 - In Exercises 6.1436.160, X denotes a binomial...Ch. 6.5 - In Exercises 6.1436.160, X denotes a binomial...Ch. 6.5 - In Exercises 6.1436.160, X denotes a binomial...Ch. 6.5 - In Exercises 6.1436.160, X denotes a binomial...Ch. 6.5 - Prob. 157ECh. 6.5 - Prob. 158ECh. 6.5 - In Exercises 6.1436.160, X denotes a binomial...Ch. 6.5 - In Exercises 6.1436.160, X denotes a binomial...Ch. 6.5 - TrueFalse Exams. Refer to Example 6.20 on page...Ch. 6.5 - Prob. 162ECh. 6.5 - TrueFalse Exams. If, in Example 6.20, the...Ch. 6.5 - TrueFalse Exams. If, in Example 6.20, the...Ch. 6.5 - Applying the Concepts and Skills In Exercises...Ch. 6.5 - In Exercises 6.1656.172, apply Procedure 6.3 on...Ch. 6.5 - In Exercises 6.1656.172, apply Procedure 6.3 on...Ch. 6.5 - In Exercises 6.1656.172, apply Procedure 6.3 on...Ch. 6.5 - In Exercises 6.1656.172, apply Procedure 6.3 on...Ch. 6.5 - In Exercises 6.1656.172, apply Procedure 6.3 on...Ch. 6.5 - In Exercises 6.1656.172, apply Procedure 6.3 on...Ch. 6.5 - Prob. 172ECh. 6.5 - Roulette. An American roulette wheel consists of...Ch. 6.5 - Flashlight Battery Lifetimes. A brand of...Ch. 6.5 - Prob. 175ECh. 6 - What is a density curve, and why are such curves...Ch. 6 - In each of Problems 24, assume that the variable...Ch. 6 - In each of Problems 24, assume that the variable...Ch. 6 - In each of Problems 24, assume that the variable...Ch. 6 - Prob. 5RPCh. 6 - State two of the main reasons for studying the...Ch. 6 - Prob. 7RPCh. 6 - Answer true or false to each statement. Give...Ch. 6 - Explain the relationship between percentages for a...Ch. 6 - Prob. 10RPCh. 6 - Prob. 11RPCh. 6 - Prob. 12RPCh. 6 - What key fact permits you to determine percentages...Ch. 6 - Prob. 14RPCh. 6 - Prob. 15RPCh. 6 - Prob. 16RPCh. 6 - State the empirical rule for variables.Ch. 6 - Prob. 18RPCh. 6 - Prob. 19RPCh. 6 - Prob. 20RPCh. 6 - Prob. 21RPCh. 6 - Prob. 22RPCh. 6 - For the standard normal curve, find the z-score(s)...Ch. 6 - Dispensing Coffee. A coffee machine is supposed to...Ch. 6 - Forearm Length. In 1903, K. Pearson and A. Lee...Ch. 6 - Birth Weights. The WONDER database, maintained by...Ch. 6 - Lower Limb Surgery. The study Intrathecal...Ch. 6 - Verbal GRE Scores. The Graduate Record Examination...Ch. 6 - Verbal GRE Scores. Refer to Problem 28, and fill...Ch. 6 - Prob. 30RPCh. 6 - Prob. 31RPCh. 6 - Diarrhea Vaccine. Acute rotavirus diarrhea is the...Ch. 6 - FOCUSING ON DATA ANALYSIS UWEC UNDERGRADUATES...Ch. 6 - CASE STUDY DISCUSSION CHEST SIZES OF SCOTTISH...
Additional Math Textbook Solutions
Find more solutions based on key concepts
Use the model developed in Example 1.5 to predict the total sales for weeks 2 through 16, and compare the resul...
Business Analytics
To explain would this correlation increase, decrease or not change much if we remove the elephants.
Statistics Through Applications
In Exercises 5-36, express all probabilities as fractions.
23. Combination Lock The typical combination lock us...
Elementary Statistics
2.18 Graph the relative frequency histogram for the 500 measurements summarized in the accompanying relative fr...
Statistics for Business and Economics (13th Edition)
1. Each of the following processes involves sampling from a population. Define the population, and state whethe...
Statistics for Engineers and Scientists
31. Putting It Together: A Tornado Model Is the width of a tornado related to the amount of distance for which ...
Statistics: Informed Decisions Using Data (5th Edition)
Knowledge Booster
Learn more about
Need a deep-dive on the concept behind this application? Look no further. Learn more about this topic, statistics and related others by exploring similar questions and additional content below.Similar questions
- Blood cocaine concentration (mg/L) was determinedboth for a sample of individuals who had died fromcocaine-induced excited delirium (ED) and for a sampleof those who had died from a cocaine overdose withoutexcited delirium; survival time for people in bothgroups was at most 6 hours. The accompanying datawas read from a comparative boxplot in the article“Fatal Excited Delirium Following Cocaine Use” (J.of Forensic Sciences, 1997: 25–31). ED 0 0 0 0 .1 .1 .1 .1 .2 .2 .3 .3.3 .4 .5 .7 .8 1.0 1.5 2.7 2.83.5 4.0 8.9 9.2 11.7 21.0Non-ED 0 0 0 0 0 .1 .1 .1 .1 .2 .2 .2.3 .3 .3 .4 .5 .5 .6 .8 .9 1.01.2 1.4 1.5 1.7 2.0 3.2 3.5 4.14.3 4.8 5.0 5.6 5.9 6.0 6.4 7.98.3 8.7 9.1 9.6 9.9 11.0 11.512.2 12.7 14.0 16.6 17.8 a. Determine the medians, fourths, and fourth spreadsfor the two samples.b. Are there any outliers in either sample? Any extremeoutliers?c. Construct a comparative boxplot, and use it as abasis for comparing and contrasting the ED andnon-ED samples.arrow_forwardThe article “Ozone for Removal of Acute Toxicity from Logyard Run-off” (M. Zenaitis and S. Duff, Ozone Science and Engineering, 2002: 83–90) presents chemical analyses of runoff water from sawmills in British Columbia. Included were measurements of pH for six water specimens: 5.9, 5.0, 6.5, 5.6, 5.9, 6.5. Assume that these are a random sample of water specimens from a normal population. a) Find a 98% prediction interval for a pH of a single specimen. b) Find a tolerance interval for the pH that includes 95% of the specimens with 95% confidence.arrow_forwardwidely used as dielectrics and coolants in electrical systems in the past. They were found to be a major environmental contaminant in the 1960s. In a study, the mean PCB content at each of thirteen sites was reported for the years 1982 and 1996 (from “The ratio of DDE to PCB concentrations in Great Lakes herring gull eggs and its use in interpreting contaminants data”, Journal of Great Lakes Research 24 (1): 12-31, 1998). The data are below.Site:12345678910111213198261.4864.4745.5059.7058.8175.9671.5738.0630.5139.7029.7866.8963.93199613.9918.2611.2810.0221.0017.3628.207.3012.809.4112.6316.8322.74(a) Which test would be more appropriate in this case: a t-test for the difference between two population means, or a paired t-test? Why?(b) Do the data provide sufficient evidence to support the claim that the mean PCB level has decreased in the region? Be sure to check all assumptions, write the null and alternative hypotheses, calculate the appropriate test statistic, calculate the p-value,…arrow_forward
- An article in Environment International ["influence of Water Temperature and Shower Head Office Size on the release Radon During Showering" (1992, Vol. 18(4)] described an experiment in which the amount of radon released in showers was imvestigated. Radon-enriched water was used in the experiment, and six different orifice diameters were tested in shower heads. The data from the experiment are shown in the following table. 5. Orifice Diameter 0.37 0.51 0.71 1.02 Radon Released () 83 75 73 72 83 85 79 79 74 76 77 67 74 74 1.40 62 62 67 69 1.99 60 64 66 (a) Does the size of the orifice affect the mean percentage of radon released? Use a=0.05. (b) Find a 95% confidence interval on the mean percent of radon released when the orifice diameter is 1.40.arrow_forward(1) Two rubber compounds were tested for tensile strength and the fol- lowing values were found A : 32,30,33, 32, 29, 34, 32 B: 33,35, 36, 37,35, 34 Under the assumption that the two populations are normally distributed, test the hypothesis that the average tensile strength of the two rubber compounds is different using significance level a = 0.01 and a = 0.05.arrow_forwardBody Fat. In the paper “Total Body Composition by Dual- Photon (153 Gd) Absorptiometry” (American Journal of Clinical Nutrition, Vol. 40, pp. 834–839), R. Mazess et al. studied methods for quantifying body composition. Eighteen randomly selected adults were measured for percentage of body fat, using dual-photon absorptiometry. Each adult’s age and percentage of body fat are shown on the WeissStats site. a. Decide whether finding a regression line for the data is reasonable. If so, then also do parts (b)–(d). b. Obtain the coefficient of determination. c. Determine the percentage of variation in the observed values of the response variable explained by the regression, and interpret your answer. d. State how useful the regression equation appears to be for making predictions.arrow_forward
- Body Fat. In the paper “Total Body Composition by Dual- Photon (153 Gd) Absorptiometry” (American Journal of Clinical Nutrition, Vol. 40, pp. 834–839), R. Mazess et al. studied methods for quantifying body composition. Eighteen randomly selected adults were measured for percentage of body fat, using dual-photon absorptiometry. Each adult’s age and percentage of body fat are shown on the WeissStats site. a. Decide whether you can reasonably apply the regression t-test. If so, then also do part (b). b. Decide, at the 5% significance level, whether the data provide sufficient evidence to conclude that the predictor variable is useful for predicting the response variable.arrow_forwardThe article "Solid-Phase Chemical Fractionation of Selected Trace Metals in Some Northern Kentucky Soils" (A. Karathanasis and J. Pils, Soil and Sediment Contamination, 2005:293-308) presents pH measurements of soil specimens taken from three" different types of soils. The results in the following table are consistent with" means and standard deviations reported in the article. Soil Type pH Measurements Alluvium 6.53, 6.03, 6.75, 6.82, 6.24 Glacial 6.07, 6.07, 5.36, 5.57, 5.48, 5.27, 5.80, 5.03, 6.65 Till Residuum 6.03, 6.16, 6.63, 6.13, 6.05, 5.68, 6.25, 5.43, 6.46, 6.91, 5.75, 6.53 Construct an ANOVA table. You may give a range for the P-value. Can you conclude that there are differences among the mean pH levels? a. b.arrow_forward10arrow_forward
- 10arrow_forwardAn article in Plant Disease, "Effect of Nitrogen and Potassium Fertilizer Rates on Severity of Xanthomonas Blight of Syngonium Podophyllum" (1989, Vol. 73, No. 12, pp. 972-975) showed the effect of the variable nitrogen and potassium rates on the growth of "White Butterfly" and the mean percentage of disease. Data representative of that collected in this experiment is provided in the following table. Potassium (mg/pot/wk) Nitrogen (mg/pot/wk) 30 90 120 50 60.8 60.8 45.5 43.0 60.0 58.4 150 54.4 56.1 53.8 51.6 34.5 35.5 250 42.9 40.0 36.1 37.9 33.0 33.3 (a) Use the analysis of variance to test the appropriate hypotheses with a = 0.05. The effect of the variable nitrogen significant, the effect of the potassium rates significant, the interaction between the variable nitrogen and potassium rates significant. (b) Graphically analyze the residuals from this experiment. The residuals acceptable. (c) Estimate the appropriate variance component. Round your answers to 2 decimal places. Source…arrow_forwardFiber Density. In the article “Comparison of Fiber Counting by TV Screen and Eyepieces of Phase Contrast Microscopy” (American Industrial Hygiene Association Journal, Vol. 63, pp. 756–761), I. Moa et al. reported on determining fiber density by two different methods. The fiber density of 10 samples with varying fiber density was obtained by using both an eyepiece method and a TV-screen method. A hypothesis test is to be performed to decide whether, on average, the eyepiece method gives a greater fiber density reading than the TV-screen method. a. identify the variable. b. identify the two populations. c. identify the pairs. d. identify the paired-difference variable. e. determine the null and alternative hypotheses. f. classify the hypothesis test as two tailed, left tailed, or right tailed.arrow_forward
arrow_back_ios
SEE MORE QUESTIONS
arrow_forward_ios
Recommended textbooks for you
MATLAB: An Introduction with ApplicationsStatisticsISBN:9781119256830Author:Amos GilatPublisher:John Wiley & Sons Inc
Probability and Statistics for Engineering and th...StatisticsISBN:9781305251809Author:Jay L. DevorePublisher:Cengage Learning
Statistics for The Behavioral Sciences (MindTap C...StatisticsISBN:9781305504912Author:Frederick J Gravetter, Larry B. WallnauPublisher:Cengage Learning
Elementary Statistics: Picturing the World (7th E...StatisticsISBN:9780134683416Author:Ron Larson, Betsy FarberPublisher:PEARSON
The Basic Practice of StatisticsStatisticsISBN:9781319042578Author:David S. Moore, William I. Notz, Michael A. FlignerPublisher:W. H. Freeman
Introduction to the Practice of StatisticsStatisticsISBN:9781319013387Author:David S. Moore, George P. McCabe, Bruce A. CraigPublisher:W. H. Freeman
MATLAB: An Introduction with Applications
Statistics
ISBN:9781119256830
Author:Amos Gilat
Publisher:John Wiley & Sons Inc
Probability and Statistics for Engineering and th...
Statistics
ISBN:9781305251809
Author:Jay L. Devore
Publisher:Cengage Learning
Statistics for The Behavioral Sciences (MindTap C...
Statistics
ISBN:9781305504912
Author:Frederick J Gravetter, Larry B. Wallnau
Publisher:Cengage Learning
Elementary Statistics: Picturing the World (7th E...
Statistics
ISBN:9780134683416
Author:Ron Larson, Betsy Farber
Publisher:PEARSON
The Basic Practice of Statistics
Statistics
ISBN:9781319042578
Author:David S. Moore, William I. Notz, Michael A. Fligner
Publisher:W. H. Freeman
Introduction to the Practice of Statistics
Statistics
ISBN:9781319013387
Author:David S. Moore, George P. McCabe, Bruce A. Craig
Publisher:W. H. Freeman
Hypothesis Testing using Confidence Interval Approach; Author: BUM2413 Applied Statistics UMP;https://www.youtube.com/watch?v=Hq1l3e9pLyY;License: Standard YouTube License, CC-BY
Hypothesis Testing - Difference of Two Means - Student's -Distribution & Normal Distribution; Author: The Organic Chemistry Tutor;https://www.youtube.com/watch?v=UcZwyzwWU7o;License: Standard Youtube License