Exercise 2. Find the mode for each example below.
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Inverse Normal Distribution
The method used for finding the corresponding z-critical value in a normal distribution using the known probability is said to be an inverse normal distribution. The inverse normal distribution is a continuous probability distribution with a family of two parameters.
Mean, Median, Mode
It is a descriptive summary of a data set. It can be defined by using some of the measures. The central tendencies do not provide information regarding individual data from the dataset. However, they give a summary of the data set. The central tendency or measure of central tendency is a central or typical value for a probability distribution.
Z-Scores
A z-score is a unit of measurement used in statistics to describe the position of a raw score in terms of its distance from the mean, measured with reference to standard deviation from the mean. Z-scores are useful in statistics because they allow comparison between two scores that belong to different normal distributions.
Exercise 2. Find the
(a) The following data represent the number of O-ring failures on the shuttle Columbia for its 17 flights prior to its fatal flight:
0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 1, 1, 1, 1, 2, 3
(b) The data of the test scores from above:
82, 77, 90, 71, 62, 68, 74, 84, 94, 88
(c) Hair color of ten people in line:
Brown, Blonde, Red, Brown, Brown,
Blonde, Brown, Blonde, Blonde, Red
Concept and definition:
The mode is the value with the highest frequency, that is, the mode is the value in the data-set which occurs the maximum number of the times.
(a)
In this case, the mode value will be 0, because 0 occurs the maximum number of the times in the given data set.
Mode : 0
Step by step
Solved in 2 steps with 1 images
- The values listed below are waiting times (in minutes) of customers at two different banks. At Bank A, customers enter a single waiting line that feeds three teller windows. At Bank B, customers may enter any one of three different lines that have formed at three teller windows. Answer the following questions. Bank A 6.4 6.6 6.7 6.8 7.1 7.3 7.6 7.9 7.9 7.9 Bank B 4.2 5.4 5.8 6.2 6.7 7.6 7.6 8.5 9.2 10.0 Click the icon to view the table of Chi-Square critical values. Construct a 99% confidence interval for the population standard deviation o at Bank A. min < OBank A min (Round to two decimal places as needed.)The following are average points per game for players on the LA Lakers and Miami Heat during the 2019-2020 season: Lakers (20 values): 0, 1.4, 1.5, 2.8, 4.2, 5.1, 5.3, 5.5, 5.7, 6, 6.6, 7.1, 7.5, 8, 8.6, 9.3, 11.9, 12.8, 25.3, 26.1 Heat (21 values): 0.8, 1, 1.4, 2.4, 3, 3, 4.5, 4.6, 5.7, 6.1, 8.2, 8.5, 9.3, 11.3, 11.9, 13.5, 13.5, 15.3, 15.9, 16.2, 19.9 a) Calculate the five-number summary of each. b) Draw boxplots of each. c) Compare the boxplots – how do they differ?The following data are the score of 24 students in Midterm Examination. If JM is one of these 24 students and got a score of 80, in what percentile does her score belong?
- Virginia polled a large sample of individuals to find the percentage of students with known food allergies and the percentage of students without known food allergies. Which of the following could sufficiently display the data if only the two given categories are to be included? Select the correct answer below: bar graph pie chart either a pie chart or a bar graph neither a pie chart nor a bar graphThe values listed below are waiting times (in minutes) of customers at two different banks. At Bank A, customers enter a single waiting line that feeds three teller windows. At Bank B, customers may enter any one of three different lines that have formed at three teller windows. Answer the following questions. Bank A 6.3 6.6 6.7 6.8 7.1 7.3 7.5 7.8 7.8 7.8 Bank B 4.2 5.5 5.9 6.3 6.7 7.7 7.7 8.5 9.3 10.0 Click the icon to view the table of Chi-Square critical values. Construct a 90% confidence interval for the population standard deviation o at Bank A. 7:6Twenty-nine college students, identified as having a positive attitude about Mitt Romney as compared to Barack Obama in the 2012 presidential election, were asked to rate how trustworthy the face of Mitt Romney appeared, as represented in their mental image of Mitt Romney’s face. Ratings were on a scale of 0 to 7, with 0 being “not at all trustworthy” and 7 being “extremely trustworthy.” Here are the 29 ratings: 2.6 3.2 3.7 3.3 3.4 3.6 3.7 3.8 3.9 4.1 4.2 4.9 5.7 4.2 3.9 3.2 4.5 5.0 5.0 4.6 4.6 3.9 3.9 5.3 2.8 2.6 3.0 3.3 3.7 a 95% confidence interval for the mean rating. Is there significant evidence at the 5% level that the mean rating is greater than 3.5 (a neutral rating)?
- The female life expectancy and the male life expectancy (in years) for 30 industrial countries were recorded. The data are shown in the back-to-back stemplot below. Female Life Expectancy Male Life Expectancy 68 69 69 70 18 71 72 9 8 73 0 74 9 75 12 5 68 9 76 2 2 7 789 99 77 1 2 4 5 6 7 78 0 4 5 6 7 4 1 79 2 4 2 80 988 7 7 6 6 4 1 81 8 7 5 3 3 2 82 998 32 183 84 5 85 6816 represents 68.6 years Based on the stemplot, which of the following statements is true? (A) The median life expectancy and the range of life expectancies are both less for females than for males in these countries. (B) The median life expectancy and the range of life expectancies are both greater for females than for males in these countries. (C) The median life expectancy is the same for females and males in these countries, and the range of life expectancies is the same for females and for males in these countries. (D) The median life expectancy is less for females than for males in these countries, and the range of…The values listed below are waiting times (in minutes) of customers at two different banks. At Bank A, customers enter a single waiting line that feeds three teller windows. At Bank B, customers may enter any one of three different lines that have formed at three teller windows. Answer the following questions. Bank A 6.4 6.6 6.7 6.8 7.1 7.3 7.6 7.9 7.9 7.9 Bank B 4.2 5.4 5.8 6.2 6.7 7.6 7.6 8.5 9.2 10.0 Click the icon to view the table of Chi-Square critical values. Construct a 99% confidence interval for the population standard deviation o at Bank A. 0.36 minSuppose we have the following data available for the average number of hours spent in the Santa Fe College Math lab. Male Female 1.50 0.75 1.20 0.82 1.30 0.91 1.05 0.84 0.75 0.59 0.80 1.02 1.00 1.90 0.95 2.10 0.925 2.20 2.50 2.50 3.00 3.50 3.50 2.20 4.01 1.80 Use Data Displays to comment on the shape of the distribution, measures of center and spread, possible skew, and outliers for both genders. (Hint: Use as many displays as needed.)For the following pairs of data points (10, 100), (8, 120), (5, 200), (4, 200), (10, 90), (7, 110) , and (6, 150) , the value of bo is A 186.9657 b 268.6957 C 286.5769 d 168.6957The values listed below are waiting times (in minutes) of customers at two different banks. At Bank A, customers enter a single waiting line that feeds three teller windows. At Bank B, customers may enter any one of three different lines that have formed at three teller windows. Answer the following questions. Bank A 6.3 4.3 6.6 7.0 7.0 Bank B 5.4 5.8 6.1 6.8 78 8.5 10.0 A Click the icon to view the table of Chi-Square critical values. Construct a 95% confidence interval for the population standard deviation a at Bank A O minA 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. 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