Does the histogram appear to depict data that have a normaldistribution?O A. The histogram does not appear to depict a normaldistribution. The frequencies generally increase and thehistogram is roughly symmetric.B. The histogram appears to depict a normal distribution. Thefrequencies generally increase to a maximum and thendecrease, and the histogram is roughly symmetric.O c. The histogram appears to depict a normal distribution. Thefrequencies generally decrease to a minimum and thenincrease.O D. The histogram does not appear to depict a normaldistribution. The frequencies generally decrease to aminimum and then increase, and the histogram is roughlysymmetric. The table below shows the frequency distribution of the weights (in grams) ofpre-1964 quarters.Weight (g)6.000-6.0496.050-6.0996.100-6.1496.150-6.1996.200-6.2496.250-6.2996.300-6.3496.350-6.399Frequency2381010541Use the frequency distribution to construct a histogram. Does the histogramappear to depict data that have a normal distribution? Why or why not?****Choose the correct histogram below.O A.FrequencyFrequency10-5-0-10-66.1 6.2 6.3Weight (grams)62Weight (grams)6.16.36.46.4ONQ

Answered: Does the histogram appear to depict…

MATLAB: An Introduction with Applications

6th Edition

ISBN:9781119256830

Author:Amos Gilat

Publisher:Amos Gilat

Chapter1: Starting With Matlab

Section: Chapter Questions

Problem 1P

See similar textbooks

Similar questions

A pet store surveys 20 people who enter the store to ask how many pets each shopper has. The results are included in the table below. Use Excel to create a histogram of the data, and then interpret the plot. Set the first bin maximum to 0 and the increment to 1. Number of Pets 0 0 1 3 1 6 2 4 1
Which of the R values below is consistent with a "perfect" correlation? a. 0.0 b. 0.5 c. -1.0 d. 0.95
a. Calculate the sample covariance.X Y-3 -913 95 12b. Calculate the sample correlation.c. Describe in words the information given to us by the sample covariance and by the sample correlation.Explain how the correlation gives us more precise information.d. Explain why the covariance is not a good measure of the strength of the linear relationship between the twovariables.e. Sketch a scatterplot of a bivariate dataset with a correlation of 0.9f. Sketch a scatterplot of a bivariate dataset with a correlation of -0.3.
Nicole has a popular blog about cooking and nutrition and regularly posts articles and videos. She has collected data about the length of time that viewers spent watching two of her recent videos. For each video, she recorded the amount of time (in minutes) that each of 102 viewers spent watching it. The histograms below show the distributions of the two data sets. Each histogram shows time (in minutes) on the horizontal axis and the number of viewers on the vertical axis. The means and standard deviations for the data sets are also given. Video 1 Video 2 25- 25- 20- 20- 15- 15- 10- 10- 5- 5- 0- 19.5 24.5 29.5 34.5 39.5 44.5 49.5 54.5 59.5 64.5 69.5 19.5 24.5 29.5 34.5 39.5 44.5 49.5 54.5 59.5 64.5 69.5 Video 1 mean: 52.05 minutes Video 2 mean: 44.25 minutes Video 1 standard deviation: 12.54 minutes Video 2 standard deviation: 8.16 minutes Nicole wants to use the Empirical Rule to make some approximations about both data sets. Unfortunately, it is appropriate to use the Empirical Rule…
Assume the correlation coefficient between advertising dollars spent and sales is .78. How much of the variability in sales is explained by the relationship between sales and advertising dollars? a. 39.16% b. 60.84% c. 78% d. 22%
Use a calculator or computer software to generate a normal quantile plot for the data in the accompanying table. Then determine whether the data come from a normally distributed population. Click the icon to view the data set. Generate a normal quantile plot for the data. Choose the correct graph below. OA. 3.00 2.00- 1.00- 0.00- -1.00- Q Q -2.00 -3.00 100 200 300 400 500 0 X Value OB. 3.00 2.00- 1.00- 0.00- -1.00- -2.00- -3.00- ... 0 100 200 300 400 500 X Value Q Q G O C. 3.00 2.00 P 1.00 0.00- -1.00- -2.00- 0 100 200 300 400 500 X Value -3.00+ Determine whether the data come from a normally distributed population. Choose the correct answer below. OA. The distribution is not normal. The points are not reasonably close to a straight line. OB. The distribution is normal. The points show a systematic pattern that is not a straight-line pattern. OC. The distribution is not normal. The points show a systematic pattern that is not a straight-line pattern. OD. The distribution is normal. The…
In the US, 46.2% of all people have type O blood, 39.1% have type A blood, 10.4% have type B blood and 4.3% have type AB blood. A researcher wants to see if the distribution of blood type is different for millionaires. The table below shows the results of a random sample of 3116 millionaires. What can be concluded at the a = 0.01 significance level? a. Complete the table by filling in the expected frequencies. Round to the nearest whole number: Frequencies of Blood Type Outcome Frequency Expected Frequency 1434 A 1224 В 310 AB 148 b. What is the correct statistical test to use? Select an answer V c. What are the null and alternative hypotheses? Но: O Blood type and income are independent. O The distribution of blood type for millionaires is not the same as it is for Americans in general. O The distribution of blood type for millionaires is the same as it is for Americans in general. O Blood type and income are dependent.
Which statement is true about the dot plot? 1 2 3 4 5 O The data is fairly uniform. O The mean is greater than the median. O No conclusions can be drawn from the data. O The mode and the median of the data are the same.
Make a frequency distribution for the data. X f 1 2 2 20 3 21 4 15 The sample mean is x = (Round to one decimal place as needed.)
IQ tests supposedly measure our intelligence. They typically are ‘normed’ so that they have a mean of 100 and a standard deviation of 15. (Higher scores show higher intelligence.) Use the graph and use the z-score and percents from columns b and c in Table A, when relevant. If you scored 132, what is your z-score? (Interpret.) Use table A X, z(a), (b), and (c) X z (a) (b) (c) and use the graph! Write down or save your response to use in Part 2 of this quiz. Group of answer choices -2.53 z. I'm at the 98.34 percentile rank and 1.66% of people scored smarter than me. 2.13 z. I'm at the 98.34 percentile rank and 1.66% of people scored smarter than me. -2.13 z. I'm at the 1.66 percentile rank and 98.34% of people scored smarter than me. 2.53 z. I'm at the 0.57 percentile rank and 99.43% of people scored smarter than me. 2.13 z. I'm at the 1.66 percentile rank and 98.34% of people scored smarter than me. 2.53 z. I'm at the 99.43 percentile rank…
Use the given data values (a sample of female arm circumferences in centimeters) to identify the corresponding z scores that are used for a normal quantile plot, then identify the coordinates of each point in the normal quantile plot. Construct the normal quantile plot, then determine whether the data appear to be from a population with a normal distribution. 44.2, 34.5, 38.2, 32.7, 40.9 Part A- List the z scores for the normal quantile plot. Part B- Identify the coordinates of each point in the normal quantile plot. Use ordered pairs for the form (x,y), where x is the sorted arm circumferences in ascending order, and y is the corresponding z score. Part C- Do the data come from a normally distributed population?
The data shown to the right for the dependent variable, y, and the independent variable, x, have been collected using simple random sampling. y 100 10 15 140 a. Construct a scatter plot for these data. Based on the scatter plot, how would you describe the relationship between the two variables? b. Compute the correlation coefficient. 11 110 13 130 14 150 11 120 15 170 12 140 a. Which graph below shows a scatter plot for these data? O A. OB. OC. OD. 15- 180- 180- 15- 10- 10- 180 10 15 10 180 There appears to be linear relationship between x and y. b. What is the correlation coefficient? r= (Round to two decimal places as needed.)

Recommended textbooks for you

MATLAB: An Introduction with Applications

Statistics

ISBN:

9781119256830

Author:

Amos Gilat

Publisher:

John Wiley & Sons Inc

Probability and Statistics for Engineering and th…

Statistics

ISBN:

9781305251809

Author:

Jay L. Devore

Publisher:

Cengage Learning

Statistics for The Behavioral Sciences (MindTap C…

Statistics

ISBN:

9781305504912

Author:

Frederick J Gravetter, Larry B. Wallnau

Publisher:

Cengage Learning

MATLAB: An Introduction with Applications

Statistics

ISBN:

9781119256830

Author:

Amos Gilat

Publisher:

John Wiley & Sons Inc

Probability and Statistics for Engineering and th…

Statistics

ISBN:

9781305251809

Author:

Jay L. Devore

Publisher:

Cengage Learning

Statistics for The Behavioral Sciences (MindTap C…

Statistics

ISBN:

9781305504912

Author:

Frederick J Gravetter, Larry B. Wallnau

Publisher:

Cengage Learning

Elementary Statistics: Picturing the World (7th E…

Statistics

ISBN:

9780134683416

Author:

Ron Larson, Betsy Farber

Publisher:

PEARSON

The Basic Practice of Statistics

Statistics

ISBN:

9781319042578

Author:

David S. Moore, William I. Notz, Michael A. Fligner

Publisher:

W. H. Freeman

Introduction to the Practice of Statistics

Statistics

ISBN:

9781319013387

Author:

David S. Moore, George P. McCabe, Bruce A. Craig

Publisher:

W. H. Freeman

SEE MORE TEXTBOOKS