A frequency distribution on employment information from Alpha Corporation follows.. Find theprobability that an employee has been with the company 10 years or less.Years Employed No. of Employees1-556-1011-1516-2021-2526-30A) 0.551CABD30251053B) 0.294C) 0.735D) 0.449

Given data Class frequency 1-5 5 6-10 30 11-15 25 16-20 10 21-25 5 26-30 3…

Answered: A frequency distribution on employment…

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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1. The following table gives a sample of grades on the first two quizzes in an introductory statistics class. We are interested in testing whether the mean grade on the second quiz is significantly higher than the mean grade on the first quiz. The data comes from 15 students where each column represents the score from each student's first and second test. For example, student one got 72 on the first quiz and 78 on the second quiz. a. 84 86 92 88 95 96 75 79 First Quiz 72 68 77 62 82 75 60 74 85 98 56 87 80 87 95 86 80 89 78 72 Second Quiz We are going to do a matched pairs test to see if there is sufficient evidence at the 5% significance level to support the claim that there is an increase in grades from the first quiz to the second quiz. Define the parameter and state the hypotheses 99 97 b. Find the observed sample statistic and the test statistic. Use proper notation for the sample statistic (x or p), and clearly identify your test statistic as either a z-score or a t-score. c.…
Serial correlation, also known as autocorrelation, describes the extent to which the result in one period of a time series is related to the result in the next period. A time series with high serial correlation is said to be very predictable from one period to the next. If the serial correlation is low (or near zero), the time series is considered to be much less predictable. For more information about serial correlation, see the book Ibbotson SBBI published by Morningstar. An Internet advertising agency is studying the number of "hits" on a certain web site during an advertising campaign. It is hoped that as the campaign progresses, the number of hits on the web site will also increase in a predictable way from one day to the next. For 10 days of the campaign, the number of hits × 105 is shown. Original Time Series Day 1 2 3 4 5 6 7 8 9 10 Hits × 105 1.3 3.5 4.4 7.2 6.8 8.3 9.0 11.3 13.1 14.7 Test ρ > 0 at the 1% level of significance. (Use 2 decimal places.) t
Which of the following is the best illustration of how tails tend to occur in a normal distribution? A. The probability of the average height of ten random women being within one inch of 64” is higher than the probability of one random woman having a height within one inch of 64”. B. If you flip a coin 20 times, it is very unlikely that you will get no heads, or one or two heads, but it is possible and it does happen once in a while. C. 68% percent of people have an IQ between 85 and 115. D. Two different normal distributions can be compared by using z scores.
Serial correlation, also known as autocorrelation, describes the extent to which the result in one period of a time series is related to the result in the next period. A time series with high serial correlation is said to be very predictable from one period to the next. If the serial correlation is low (or near zero), the time series is considered to be much less predictable. For more information about serial correlation, see the book Ibbotson SBBI published by Morningstar.A company that produces and markets video games wants to estimate the predictability of per capita consumer spending on video games in a particular country. For the most recent 7 years, the amount of annual spending per person per year is shown here. Original Time Series Year 1 2 3 4 5 6 7 $ per capita 32.27 34.06 37.83 43.32 44.62 49.67 51.83 (a) To construct a serial correlation, we use data pairs (x, y) where x = original data and y = original data shifted ahead by one time period. Construct the data…
.Define any statistic cells as desired (e.g., the mean profit)?
3) What graphs can help us identify a normal distribution? a. Dotplot b. Histogram c. Boxplot d. Normal probability plot pick one a, b, c, d b, c a, b a, b, c b, d
3. A consumer agency wanted to find out of the mean time taken by each of three brands of medicines to provide relief from a headache is the same. The first drug was administered to six randomly selected patients, the second to four randomly selected patients, and the third to five randomly selected patients. The following table gives the time (in minutes) taken by each patient to get relief from a headache after taking the medicine. Drug I 25 38 42 65 47 52 Drug II 15 21 19 25 Drug III 44 39 54 58 73 At a 2.5 % significance level, will you conclude that the mean time taken to provide relief from a headache is the same for each of the three drugs? Use the Critical Value Approach
You want to examine the relationship between dropping out of high school and delinquency. You have a random sample of 11 students. You have the number of delinquent offenses that each student reported committing in the year before and after dropping out of school. The following table shows the data. Before dropping After dropping Student out out 1 7 2 9. 2 3 4 7 7 8 11 6 11 13 7 8 4 8 8 10 9. 5 7 10 2 1 11 3 From performing a hypothesis test to determine if the mean number of delinquent differs after dropping out, what is the p-value? (Round off to two decimal places if necessary)
The following data represents the age of 30 lottery winners. Given the frequency distribution for the data, Age Frequency Relative Frequency Cumulative Relative Frequency [20,29] 1 0.0333 0.0333 [30,39] 5 0.1667 0.2 [40,49] 7 0.2333 0.4333 [50,59] 5 0.1667 0.6 [60,69] 10 0.3333 0.9333 [70,79] 1 0.0333 0.9666 [80,89] 1 0.0333 0.9999 What is the frequency of lottery winners of age between 19 and 40? What percentage of lottery winners are 70 years or older? % What is the relative frequency of ages under 40? What is the cumulative relative frequency of lottery winners younger than 50?
The following table shows the distribution of murders by type of weapon for murder cases in a particular country over the past 12 years. Complete parts (a) Handgun through (e). Weapon Probability 0.478 Rifle 0.023 Shotgun Unknown firearm Knives Hands, fists, etc. Other 0.034 0.145 0.135 0.056 0.129
Example 24 : In eight throws of a die 5 or 6 is considered a success. Find the mean number of success and the standard deviation.

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A frequency distribution on employment information from Alpha Corporation follows.. Find the probability that an employee has been with the company 10 years or less. Years Employed No. of Employees 1-5 6-10 11-15 16-20 21-25 26-30 A) 0.551 C A B D SDEU53 30 25 10 B) 0.294 C) 0.735 D) 0.449