5. A nutritionist claims that individuals tend to report decreasing dietary intake the more they areinterviewed. To investigate this claim, a random sample of eight female university students was asked torecord their dietary intake for two consecutive days. An analysis on their total dietary intake (in kcal) gavethe following results:Student12478Day 119052237186322912211142810621705Day 216581479110021161999109712832424Assume that the differences in total dietary intake are normally distributed. Using a 5% level ofsignificance, test the claim that a higher dietary intake is observed on day 1.

Answered: Image /qna-images/answer/7130ad6e-17d1-4d7c-a661-b545e323a680.jpg

Answered: 5. A nutritionist claims that…

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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Consider the following Cumulative frequency age for some sample of persons. Age Cumulative frequency 1-5 7 6 - 10 14 11 - 15 19 16 – 20 22 21 – 25 24 What is the number of persons whose age from 21 to 25 ?
Consider the data in the table below which was collected from a random sample of 20 vendors at a local open market during the first week after the lockdown period: Vendor Number of years in operation Daily income (N$) 1 > 5 years 1555 2 5 years 1790 6. Between 1 and 5 years 1660 7 5 years 1950 9. Between 1 and 5 years 2240 10 > 5 years 1811 11 Between 1 and 5 years 1904 12 > 5 years 2209 13 5 years 2010 15 Between 1 and 5 years 2300 16 Between 1 and 5 years 300 17 5 years 662 19 Between 1 and 5 years 1444 20 <1 year 755 Required: Construct a cross-tabulation between the random variables Daily Income and Number of years in Operation and provide an interpretation.
From the data given below, calculate the gross and net reproduction rates : Age Group Female Population (in thousands) Female Live-births Survival Factor 15-19 1,399 15,133 0.9694 20-24 1,422 94,155 0.9663 25-29 1,521 102,676 0.9632 30-34 1,756 72,490 0.9584 35-39 1,451 31,402 0.9519 40-44 1,689 10,640 0.9424 45-49 1,667 700 0.9279
Adjusted Gross Incomes. The Internal Revenue Service (IRS) publishes data on adjusted gross incomes in the document Statistics of Income, Individual Income Tax Returns. The following relative-frequency histogram shows one year’s individual income tax returns for adjusted gross incomes of less than $50,000.
The age at inauguration for each U.S. President is shown in the sequence of data values below. 57 54 52 55 51 56 61 68 56 55 54 61 57 51 46 54 51 52 57 49 54 42 60 69 58 64 49 51 62 64 57 48 50 56 43 46 61 65 47 55 55 54 28 92 1) Find the 27th 39th, 45th, 68th, and 82th percentiles. 2) Make a five number summary and a boxplot for the given data. 3) Find the outliers using the IQR times 1.5 rule. If there is an outliers, make a modified boxplot for the given data and use asterisks (*) to indicate any outlier.
How productive are U.S. workers? One way to answer this question is to study annual profits per employee. A random sample of companies in computers (I), aerospace (II), heavy equipment (III), and broadcasting (IV) gave the following data regarding annual profits per employee (units in thousands of dollars). I II III IV 27.9 13.5 22.2 17.9 23.2 9.6 20.5 16.4 14.7 11.1 7.7 14.5 8.3 8.9 12.7 15.9 11.8 6.5 7.7 10.6 19.1 9.5 What are the degrees of freedom? (numerator) (denominator)(c) Find the P-value of the sample test statistic. P-value > 0.100 0.050 < P-value < 0.100 0.025 < P-value < 0.050 0.010 < P-value < 0.025 0.001 < P-value < 0.010 P-value < 0.001 (d) Based on your answers in parts (a) to (c), will you reject or fail to reject the null hypothesis? Since the P-value is greater than the level of significance at α = 0.05, we do not reject H0. Since the P-value is less than or equal to the level of significance at α = 0.05, we…
A psychologist believed that as children get older, they engage in more “inactive activities” such as playing computer games, watching TV and surfing the internet. She collected data from 10 children. She recorded the age of each child and the amount of activity (in hours) the child engaged in per week. Age Activity 7 4.3 9 3.2 10 1 13 1.5 12 1.2 15 0.8 9 3 12 4 15 1.5 14 1.9 Using excel, obtain a scatterplot of the data. Discuss the relationship between age and activity based on the scatterplot. Using excel, obtain the simple linear regression linear regression line predicting activity from age. Interpret the intercept and slope of the regression line. By hand, predict the amount of activity for age = 14. By hand, calculate the residual for age = 14 Using excel output, test the null hypothesis that the slope coefficient is zero using the p-value approach. Write one sentence interpreting the meaning of this result. Make sure to report the test statistic…
A breeder of golden retriever dogs has kept records on litter size for several years. They want to know if litter size is dependent on parent age. Age of Sire 9.0 7.0 6.5 4.3 5.0 4.1 3.7 8.0 7.0 4.1 4.5 7.0 6.0 Age of Dam 2.0 2.5 4.0 3.3 6.0 5.0 4.5 4.1 8.2 2.4 2.9 3.7 4.0 Litter Size 11 10 9 12 5 9 9 8 7 10 12 10 9 b. Perform a regression analysis. Define your hypothesis, state your conclusions, and show all work.
A random sample of soil specimens was obtained, and the amount of organic matter (%) in the soil was determined for each specimen, resulting in the accompanying data. 1.16 5.09 0.97 1.59 4.60 0.32 0.55 1.45 0.16 4.47 1.20 3.50 5.02 4.67 5.22 2.69 3.97 3.17 3.03 2.21 0.69 4.47 3.31 1.17 0.77 1.17 1.57 2.62 1.66 2.05 The values of the sample mean, sample standard deviation, and (estimated) standard error of the mean are 2.484, 1.612, and 0.294, respectively. Does this data suggest that the true average percentage of organic matter in such soil is something other than 3%? Carry out a test of the appropriate hypotheses at significance level 0.10. [Note: A normal probability plot of the data shows an acceptable pattern in light of the reasonably large sample size.] State the appropriate hypotheses. ⒸH₁: μ = 3 H₂:μ # 3 OH:μ #3 Ha: μ 3 t = P-value = Calculate the test statistic and determine the P-value. (Round your test statistic to two decimal places and your P-value to three decimal…

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