stats lore

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School

Nova Southeastern University *

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Course

2020

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Statistics

Date

Feb 20, 2024

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docx

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32

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Which level of measurement consists of categories only where data cannot be arranged in an ordering scheme? Does the frequency distribution appear to have a normal distribution using a strict interpretation of the relevant criteria? Temperature ( ° F) Frequency 35 - 39 2 40 - 44 0 45 - 49 6 50 - 54 14 55 - 59 7 60 - 64 5 65 - 69 1 Question content area bottom Part 1 Does the frequency distribution appear to have a normal distribution?
Refer to the table of body temperatures (degrees Fahrenheit). Is there some meaningful way in which each body temperature recorded at 8 AM is matched with the 12 AM temperature? Subject 1 2 3 4 5 8 AM 97.0 98.5 97.6 97.7 98.7 12 AM 97.6 97.8 98.0 98.4 98.4 Question content area bottom Part 1 Choose the correct answer below.
Identify which of these types of sampling is used: random, systematic, convenience, stratified, or cluster. A large company wants to administer a satisfaction survey to its current customers. Using their customer database, the company randomly selects 50 customers and asks them about their level of satisfaction with the company.
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Listed below are the amounts (dollars) it costs for marriage proposal packages at different baseball stadiums. Find the range, variance, and standard deviation for the given sample data. Include appropriate units in the results. Are there any outliers, and are they likely to have much of an effect on the measures of variation? 40 45 45 65 70 95 95 125 190 213 260 375 400 2000 2750    Standard Deviation Calculator (calculatorsoup.com) Mean, Median, Mode, Range Calculator
Use z scores to compare the given values. Based on sample data, newborn males have weights with a mean of 3249.4 g and a standard deviation of 641.3 g. Newborn females have weights with a mean of 3033.5 g and a standard deviation of 787.1 g. Who has the weight that is more extreme relative to the group from which they came: a male who weighs 1600 g or a female who weighs 1600 g? Z-score Calculator The table below shows the frequency distribution of the rainfall on 52 consecutive Wednesdays in a certain city. Use the frequency distribution to construct a histogram. Do the data appear to have a distribution that is approximately normal?
Class Frequency 0−0.19 0.20−0.39 0.40−0.59 0.60−0.79 0.80−0.99 1.00−1.19 1.20−1.39 23 10 5 3 1 8 2
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What is a scatterplot and how does it help us? If we find that there is a linear correlation between the concentration of carbon dioxide in our atmosphere and the global temperature, does that indicate that changes in the concentration of carbon dioxide cause changes in the global temperature? If we collect a large sample of blood platelet counts and if our sample includes a single   outlier, how will that outlier appear in a   histogram?
Listed below are amounts (in millions of dollars) collected from parking meters by a security company in a certain city. A larger data set was used to convict 5 members of the company of grand larceny. Find the mean and median for each of the two samples and then compare the two sets of results. Do the limited data listed here show evidence of stealing by the security company's employees? Security Company: 1.4 1.8 1.4 1.8 1.2 1.5 1.3 1.5 1.5 1.7 Other Companies: 2.2 2.1 1.9 1.8 1.9 1.6 2.1 1.8 1.8 2.3
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Determine which of the four levels of measurement (nominal, ordinal, interval, ratio) is most appropriate for the data below. Construct the cumulative frequency distribution for the given data. Daily Low ( ° F) Frequency 35-39 3 40-44 4 45-49 6 50-54 11 55-59 8 60-64 8 65-69 1 Question content area bottom left Part 1 Construct the cumulative frequency distribution.
A random sample of 10 subjects have weights with a standard deviation of 12.4981 kg. What is the variance of their   weights? Be sure to include the appropriate units with the result. Square the standard deviation lol A group of adult males has foot lengths with a mean of 26.71 cm and a standard deviation of 1.38 cm. Use the range rule of thumb for identifying significant values to identify the limits separating values that are significantly low or significantly high. Is the adult male foot length of 23.6 cm significantly low or significantly   high? Explain.
Mean – 2* standard deviation Mean + 2* standard deviation Which of the following is NOT a characteristic of the mean?
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Find the mean of the data summarized in the given frequency distribution. Compare the computed mean to the actual mean of 51.5 miles per hour. A study was conducted to determine how people get jobs. The table lists data from 400 randomly selected subjects. Construct a Pareto chart that corresponds to the given data. If someone would like to get a   job, what seems to be the most effective   approach?
Fill in the blank. For data sets having a distribution that is approximately bell-shaped, _______ states that about 68% of all data values fall within one standard deviation from the mean. The graph to the right compares teaching salaries of women and men at private colleges and universities. What impression does the graph   create? Does the graph depict the data   fairly? If   not, construct a graph that depicts the data fairly.
Assume that females have pulse rates that are normally distributed with a mean of μ =74.0 beats per minute and a standard deviation of σ =12.5
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beats per minute. Complete parts   (a) through   (c) below. Z-score Calculator
Assume that 1900 births are randomly selected and 958 of the births are girls. Use subjective judgment to describe the number of girls as significantly   high, significantly   low, or neither significantly low nor significantly high.
Determine whether the value is a discrete random variable, continuous random variable, or not a random variable. a. The number of bald eagles in a country b. The square footage of a house c. The gender of college students d. The height of a randomly selected giraffe e. The time required to download a file from the Internet f. The
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In a test of a   sex-selection technique, results consisted of 255 female babies and 17 male babies. Based on this   result, what is the probability of a female being born to a couple using this   technique? Does it appear that the technique is effective in increasing the likelihood that a baby will be a   female? Times a certain event happened / total times Weights of golden retriever dogs are normally distributed. Samples of weights of golden retriever   dogs, each of size n=15, are randomly collected and the sample means are found. Is it correct to conclude that the sample means cannot be treated as being from a normal distribution because the sample size is too   small? Explain.
Assume the readings on thermometers are normally distributed with a mean of 0 ° C and a standard deviation of 1.00 ° C. Find the probability that a randomly selected thermometer reads between −1.93 and −1.42 and draw a sketch of the region.
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High z score of first entry – lower z score of second entry Indicate a similarity between a Poisson distribution and a binomial distribution. Find the indicated z score. The graph depicts the standard normal distribution with mean 0 and standard deviation 1. Click to view page 1 of the table.   z 0.9857
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LOADING... Click to view page 2 of the table. LOADING... Z Critical Value Calculator (calculators.org) What's wrong with the following statement? "Because the digits 0, 1, 2, . . . , 9 are the normal results from lottery drawings, such randomly selected numbers have a normal distribution." The data represent the results for a test for a certain disease. Assume one individual from the group is randomly selected. Find the probability of getting someone who tested positive, given that he or she had the disease.
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A Gallup poll of 1236 adults showed that 12% of the respondents believe that it is bad luck to walk under a ladder. Consider the probability that among 30 randomly selected people from the 1236 who were polled, there are at least 2 who have that belief. Given that the subjects surveyed were selected
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without replacement, the events are not independent. Can the probability be found by using the binomial probability formula? Why or why not? Three randomly selected children are surveyed. The ages of the children are 3, 5, and 10. Assume that samples of size n=2 are randomly selected with replacement from the population of 3, 5, and 10. Listed below are the nine different samples. Complete parts (a) through (d). 3,3 3,5 3,10 5,3 5,5 5,10 10,3 10,5 10,10   
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In a certain weather forecast, the chances of a thunderstorm are stated as "2 in 25."
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Express the indicated degree of likelihood as a probability value between 0 and 1 inclusive. The random variable x represents the number of phone calls an author receives in a   day, and it has a Poisson distribution with a mean of 8.1 calls. What are the possible values of   x? Is a value of x=3.2 possible? Is x a discrete random variable or a continuous random   variable? Assume that boys and girls are equally likely. Find the probability that when a couple has three   children, there is exactly 1 girl.
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Sample data for the arrival delay times   (in minutes) of airlines flights is given below. Determine whether they appear to be from a population with a normal distribution. Assume that this requirement is loose in the sense that the population distribution need not be exactly   normal, but it must be a distribution that is roughly   bell-shaped.
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When nine basketball players are about to have a   free-throw competition, they often draw names out of a hat to randomly select the order in which they shoot. What is the probability that they shoot free throws in alphabetical   order? Assume each player has a different name.
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Use the following results from a test for marijuana use, which is provided by a certain drug testing company. Among 149 subjects with positive test results, there are 22 false positive results; among 153 negative results, there are 4 false negative results. If one of the test subjects is randomly selected, find the probability that the subject tested negative or did not use marijuana. (Hint: Construct a table.) The ages   (years) of three government officials when they died in office were 56, 45, and
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60. Complete parts   (a) through   (d).
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