# Statistics: Population Distributions - Lab Report Example

Summary
The author examines the hypothesis that the heartbeat of the larger individual will beat slowly to meet the metabolic requirements by collecting a sample of short and tall individuals and identify whether there are significant differences in their heartbeat rates. …

## Extract of sample "Statistics: Population Distributions"

Download file to see previous pages The experts in the field8 as have also emphasized that individuals who are physically fit have a higher stroke volume as compared to inactive individuals. This means that individuals having a poor physical condition will reach their maximum heartbeat rate at a lower work level than individuals who are physically fit. Based on the above belief, a theory has been put forward that since physically fit individuals have a higher aerobic capacity before reaching maximum heart rate, therefore, they will have a slower rate of increase in heartbeat and a faster return to the resting return after the exercise.
For the verification of aforementioned hypothesis, a controlled experiment will be conducted in which the subject’s heart rate before exercise and 15 minutes after exercise and then 30 minutes after exercise will be measured to know whether there are significant differences in the heart rate of individuals in the group.
The data for the given variable is spread symmetrically around the central location. It has a modal class. I expect the data to be modal since most of the individuals will have a common heartbeat rate with a few exceptional cases. My expectations are supported by the graph of the histogram as the majority of the frequency of the data lies in the middle of the set.
The value of t-test statistic is -0.339 and it does not fall in the rejection region thus we do not reject the null hypothesis. The test results are not statistically significant at the 5% level; that is, at the 5% significance level, the data do not provide sufficient evidence to conclude that there is the difference in the mean heart rate of the tall and short individuals.  ...Download file to see next pagesRead More
Cite this document
• APA
• MLA
• CHICAGO
(Statistics: Population Distributions Lab Report - 1, n.d.)
(Statistics: Population Distributions Lab Report - 1)
Statistics: Population Distributions Lab Report - 1. https://studentshare.org/statistics/1748786-population-distributions-statistics-lab-report.
“Statistics: Population Distributions Lab Report - 1”, n.d. https://studentshare.org/statistics/1748786-population-distributions-statistics-lab-report.
Click to create a comment or rate a document

## CHECK THESE SAMPLES OF Statistics: Population Distributions

### Population Distributions - statistics lab report

...?Statistical Tests Introduction There is an ample amount of evidence in the literature that heart and body size are correlated3&15. It is believed that individuals with large body size will generally possess a larger heart as opposed to smaller individuals. The cardiovascular system functions by pumping blood to meet the metabolic requirements of the tissues. To fulfil these metabolic requirements it is suggested that the heart rate of smaller individuals should be greater than the heart rate of large people. This theory is based on the concept that a heart with small size will have smaller cardiac output as compared to the larger heart. Hence, this scientific theory proposes that the heart beat of the larger individual...
12 Pages(3000 words)Essay

### Statistics

...Due Statistics Report II This study analyzed the number of phone calls made home by a small sample (n=40) of undergraduate students. In this study, the number of phone calls made home was the dependent variable, and both the year of the student (freshmen, sophomore, junior, or senior) and the gender of the student were independent variables. Because this study has two independent variables and one dependent variable, a factorial ANOVA design is most appropriate. The gender factor has two levels: male and female, and the year factor has four levels (freshmen, sophomore, junior, or senior), meaning we have a 4x2 ANOVA design. Because we have a 4x2 ANOVA design, one interaction effect is possible (between the gender and...
2 Pages(500 words)Research Paper

### Frequency Distributions

...?Situation Imagine that you can predict the s scores on the Tests for Understanding in this In Week there was a bimodal distribution. In Week 2, there was a positive skew. In Week 3, there was a normal distribution. In Week 4, there was a negative skew.  Questions: 1. What do these different scores tell you about the tests in Weeks 1, 2, 3, and 4? What is happening to the students' scores over time?  From the given distributions, one can say that there is a distinct change in the pattern of student’s scores on understanding over the three weeks. Initially, there was a bimodal distribution, showing that students were grouped into those that understood better (scores that clustered around the top of the scale) and those that did... , and only...
2 Pages(500 words)Essay

### Statistics

... the frequency distribution table: Age Frequency 16-27 26 28-39 9 40-51 5 52-63 1 64-76 9 From this frequency table, we can see that the data are skewed to the right. If we were to graph this table, we would understand that the mass of distribution is concentrated more on the left-hand side. This is because there are relatively few high values, thus skewing the graph to the right. Because this graph would not contain a normal curve, we could predict a high number of people between the ages of 16 – 27 (26 out of a total of 50 — 26/50 = 0.52 or more than half).... there are 50 numbers, we can divide these numbers into groups of 10 (5 groups). Next we subtract the lowest number from the highest number (76 — 16 = 60). After this, we will divide...
1 Pages(250 words)Math Problem

### The Statistics of Population Mean

...﻿T-test and Degree of Freedom  What is the difference between z-test and t-test? Why is degree of freedom important for t-test? Why t-test is used most often than z-test?  A z-test is used to compare population mean with a standard or for comparing the means of two populations when the population standard deviation is known. It is also used for comparison of a proportion with a standard proportion or for comparing two proportions. A z-test can be also used if sample size is large (≥30). A t-test is used to compare population mean with a standard or for comparing the means of two populations when the population standard deviation is...
2 Pages(500 words)Assignment

### Probability Distributions

...to the Bureau of Justice Statistics (BJS) 2011, there were about 1.5 million prisoners in both state and federal prisons. Of this population, 40% were above 40 years old. The drug related offenders accounted for close to half the population of inmates in federal courts. Besides, the persons aged between 20 to 44 years committed most crimes accounting for 78% of the prisons’ population. In the same report prepared by BJS, approximately 92% of the prisoners are males. On crimes, apart from drugs, robbery, murder, assault, and burglary are the most common crimes in US. Although, the BJS 2011 statistics showed that the population of US...
6 Pages(1500 words)Assignment

### Linux distributions

...the said goal, imparting adequate training to its employees or to hire trained professionals to apply the system for the optimum benefit of the organisation becomes inevitable. With a view to select appropriate software to suit the requirements, Red Hat, Ubuntu and Novell’s SUSE based OS are being taken into consideration. Indeed the training motivates the employees as well as raises their confidence in using the software to meet the requirements. RedHat: In terms of trained professionals and certified training program, Red hat tops other Linux distributions. RedHat training centers are spread across the globe and training programs on various specializations are available. They are also providing ‘on-site team...
9 Pages(2250 words)Essay

### Frequency Distributions (mod 3 slp)

.... Variance comes out as 1059. Standard Deviation is found out by calculating the square root of variance. Standard deviation is obtained as 32.54. The calculations are shown in Table 2. This implies that the distribution can be defined by the mean and standard deviation as (161.5 +/- 32.54). References: Anderson, David R., Sweeny Dennis J. & Williams, Thomas J. (2013). Statistics for Business & Economics. 12th ed.... From the data collected in Module a frequency distribution can be prepared as shown in Table Table Frequency Distribution Time (in Minutes) Frequency 81-100 1 101-120 3 121-140 0 141-160 3 161-180 8 181-200 3 201-220 2 Figure 1: Graph for Frequency Distribution The...
2 Pages(500 words)Essay

### Frequency Distributions

...) for fast food service at two burger companies were recorded for quality assurance. Using the data below, find the following for each sample. a. Range b. Standard deviation c. Variance Lastly, compare the two sets of results. Ans: The answer is given below in table: Company Wait times in seconds Big Burger Company 105 67 78 120 175 115 120 59 The Cheesy Burger 133 124 200 79 101 147 118 125 10. What does it mean if a graph is normally distributed? What percent of values fall within 1, 2, and 3, standard deviations from the mean? Ans: A graph is said to be normally distributed if it is symmetric and bell shaped with a single peak. For any normal distribution two quantities must be...
2 Pages(500 words)Assignment

### FREQUENCY DISTRIBUTIONS

...is normally distributed. 99.7 percent of all the values should fall within three standard deviations from the mean. In other words, they should fall between µ-3σ and µ+3σ (Berman, 2013). µ + 3σ = 78.70 µ - 3σ = 22.9 More than 99.7% of the data fall within the range reflecting the fact that the data has a normal distribution. One of it implications is the fact that the estimates from the above data, both the measures of central tendency and the measures of variations are close to the true values of the population (Patel, 2009). References Berman, S. (2013). Mathematical statistics; an introduction based on the normal distribution. Scranton: Intext...
3 Pages(750 words)Assignment