3. -lected males using today's life expectancy statistics.The following histogram models the life-span of 100,000 randomly se-4500.04000.03500.03000.02500.02000.01500.01000500.00.0 A5 10 15 20 25 30 35 40 45 s0 55 0 6 70 75 30 85 90 5 100Age at time of death for 100,000 malesFor example, approximately 1,000 men would die at the age of 65. The mean lifes-pan for the male population is 79 years. The standard deviation for this populationis 15 years.(a) What is the shape of the male life expectancy distribution?(b) Which is greater, the mean or the median?(c) Considering the histogram, do you think it's unusual for a male to live to over86 years old? Why or why not?(d) What is the probability that, for a random sample of 36 males, their mean ageof death will be greater than 86? Would this sample be considered unusual?

A histogram is a graph that represents the frequency distribution of the data. It helps in…

Answered: The following histogram models the…

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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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.
Researchers wondered whether the size of a person's brain was related to the individual's mental capacity. They selected a sample of 5 females and 5 males and measured their MRI image pixel counts and IQ scores. Females Males MRI IQ MRI IG The data is reported to the right. Complete parts (a) through (d) below 139 858,472 140 955,003 935,494 924,059 1.079.550 1,001.121 Click the icon to view the critical values table. 991,305 138 141 857,782 833,868 790,619 133 135 132 141 135 140 AMRI 1,080,000- AIO 145 AIO 145- AMRI 1,080,000 780,000 130 130 780,000 130 780,000 780,000 130 1,080,000 145 1,080,000 MRI 145 MRI (b) Compute the linear correlation coefficient between MRI count and IQ. Are MRI count and IQ linearly related? Select the correct choice below and, if necessary, fill in the answer box to complete your choice. (Round to three decimal places as needed.) A. Yes, MRI count and IQ are linearly related since the linear correlation coefficient is O B. No. MRI count and IQ are not…
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.
We are interested in the number of years students in a particular elementary statistics class have lived in Maryland. The information in the following table is from the entire section. Number of years Frequency 7 14 16 15 20 2 21 32 1 What is the mean number of years? Please report your answer to two decimal places.
Here is the data 0.75 0.74 0.75 0.84 0.63 0.69 0.83 0.9 0.09 0.4 0.37 0.44 0.85 0.78 0.42 0.91 0.92 0.84 0.91 0.81 0.89 0.37 0.9 0.38 0.45 0.38 0.42 0.82 0.11 0.42 0.39 0.11 0.1 0.84 0.43 0.75 0.37 0.1 0.44 0.25 0.44 0.37 0.58 0.4 0.51 0.8 0.42 0.31 0.44 0.83 0.75 0.93 0.81 0.87 0.78 0.84 0.69 0.61
Please answer question 20 letters d,e,f
The following table shows the distribution of scores on a final elementary statistics examination for a large section of students. 0.12 The cumulative relative frequency for the class 60-70 (i.e. what percentage of students scored 70 or lower) is 0.06 0.57 Classes for Exam Scores 90 and over 80-90 70 - 80 60-70 50 - 60 40 - 50 Under 40 0.43 Number of Students 5 12 40 18 13 6 6
Can you answer number 16 please
Box plots (Excel)– Analyze each of these cycle time data but on the same chart: C7, C8, C9. That means one chart showing three different box plots, with a single conclusion that addresses all three. Interpret outside value, mean score, N spread, Fence, upper lower and upper outer fences, adjacent, and outside and far out value. C7 C8 C9 19.98211 20.7142 20.21992 20.01223 20.65907 20.00799 20.02408 20.6437 20.02974 19.94534 20.45958 19.94026 19.86814 20.63716 19.796 20.18784 20.65365 20.01327 19.92074 20.54906 20.01064 20.0778 20.5228 20.07752 19.88045 20.47224 19.95005 20.08633 20.61675 20.13076 19.99881 20.62622 20.06755 20.04184 20.42231 20.13078 19.7936 20.61609 19.88701 19.93159 20.52705 19.87559 20.19998 20.58901 19.88053 20.18833 20.49057 19.9302 20.12368 20.68086 19.9738 19.91343 20.57999 19.8936 20.1602 20.34386 20.02487 20.09396 20.62949 20.09329 20.11419 20.66649 20.00717 19.9063 20.71718 20.04545 20.12964 20.43237 19.95537…
Use the frequency distribution from Exercise 14 in Section 2-1 to construct a histogram. Does it appear to be the graph of data from a population with a normal distribution?
Researchers studying pleasant touch sensations measured the firing frequency (impulses per second) of nerves that were stimulated by a light brushing stroke on the forearm and also recorded the subject's numerical rating of how pleasant the sensation was. The accompanying data was read from a graph in a paper. Firing Frequency Pleasantness Rating 23 0.3 24 1.0 22 1.2 25 1.2 26 1.0 27 2.0 34 2.3 34 2.2 37 2.5 34 2.7 (a) Estimate the mean change in pleasantness rating associated with an increase of 1 impulse per second in firing frequency using a 95% confidence interval. (Use technology or the Distribution Calculators page in SALT to find the critical value. Round your answers to three decimal places.) ( ___ , _____) Carry out a hypothesis test using ? = 0.05 to decide if there is convincing evidence of a useful linear relationship between firing frequency and pleasantness rating. Calculate the test statistic and find the P-value. (Round your answer to…

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