The relative frequency histogram represents the length of phone calls on George's cell phoneduring the month of September. Determine whether or not the histogram indicates that a normal0.4-distribution could be used as a model for the variable.0.2-0-6.12Length (minutes)Can a normal distribution be used as a model for the variable?O A. Yes, because the histogram is not symmetric about its mean.B. Yes, because the histogram has the shape of a normal curve.C. No, because the histogram has the shape of a normal curve.D. Yes, because the histogram does not have the shape of a normal curve.O E. No, because the histogram does not have the shape of a normal curve.Relative Frequency

Relative frequency is decreasing when the length of phone call is increasing and the curve is right…

Answered: The relative frequency histogram…

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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search A study was conducted that resulted in the following relative frequency histogram. Determine whether or not the histogram indicates that a normal distribution could be used as a model for the variable. Yooo Choose the correct answer below. OA. The histogram is not bell-shaped, so a normal distribution could be used as a model for the variable. OB. The histogram is not bell-shaped, so a normal distribution could not be used as a model for the variable. OC. The histogram is bell-shaped, so a normal distribution could not be used as a model for the variable. OD. The histogram is bell-shaped, so a normal distribution could be used as a model for the variable. ly 144 is 4+ 2000 3000 4000 Q Q G 5000 prt sc delete
4. A study was conducted to investigate the relationship between the size of a house (in square feet) and the selling price of a house (in dollars). The response variable is price in dollars, and we want to study if the covariate of the square footage helps explain the response. A random sample of 522 houses was used, and the linear regression output from R is below. price sqft, data = house) 1m (formula = Coefficients: Estimate Std. Error t value Pr(>|t|) (Intercept) -81432.946 11551.846 -7.049 5.74e-12 *** sqft 158.950 4.875 32.605 < 2e-16 *** Residual standard error: 79120 on 520 degrees of freedom Multiple R-squared: 0.6715, Adjusted R-squared: 0.6709
Which scatter plot shown has the strongest negative correlation?
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%
: Which one of the following statements is True? The units of the Variance are the same as the original data. The Mean can be found from a Box Plot. Relative Frequency equals Frequency multiplied by Total Frequency. An Ogive chart increases in height from left to right. For a unimodal mound shaped distribution that is Skewed Left the Mean is greater than the Median.
What are the chances your flight will leave on time? To the right are a histogram and summary statistics for the percentage of flights departing on time each month from 2001 thru 2006. There is no evidence of a trend over time. Complete parts (a) through (c) below. n 72 y 80.5417 s 3.04576 65809505101520OT Departure %# of Months A histogram with horizontal axis labeled “On Time Departure percentage” from 65 to 95 with bin width of 1 and vertical axis labeled “Number of Months” from 0 to 20 in intervals of 1 contains vertical bars with heights that exhibit behavior from left to right over intervals on the horizontal axis as follows: a steady increase from 1 to 7 on the interval 67 to 81, a fast increase from 7 to 13 on the interval 81 to 82, a fast decrease to 6 on the interval 82 to 83, then a steady decrease from 6 to 0 on the interval 83 to 90; there are no bars on the…
What is the other name of Arithmetic Average? O a. Spread variability Ob. Mean O c. Median O d. Weighted mean
Please answer d and e.
Which of the following is true about the Variance? a. It tells how far the scores lies from the mean. b. The more the spread of data indicates the large the vriance is in relation to the mean. c. The spread of data has no effect on the Variance. d. The small the vriance indicates the more spread of data.
W 1. X A tablet computer manufacturer claims that its batteries last an average of 10.5 hours when playing videos. The quality control department randomly selects 20 tablets from each day's production and tests the batteries by playing a video repeatedly until the battery dies. The quality control department will reject the batteries from that day's production run if the mean battery life is less than 10.5 hours. Here are the data from one day: 10.3 10.0 10.3 10.6 10.5 10.3 10.1 10.6 11.5 10.3 10.3 12.7 10.6 11.3 13.9 12.5 12.4 10.8 10.2 12.2 The quality control department will test the hypotheses where p true mean battery life (in hours) while playing videos for tablets made during that day. Check that the conditions for performing the test are met. Assume the population is normally distributed. 3 e d C Ho:μ = 50 Ha:μl < 50 $ 4 f 25 % V t 6 (6 b Y h ∞ 7 u n * 00 8 ¡ m ( 9 k O Sign out 1 р Mar 29 7
You wish to determine if there is a linear correlation between the age of a driver and the number of driver deaths. The following table represents the age of a driver and the number of driver deaths per 100,000. Use a significance level of 0.01 and round all values to 4 decimal places. Driver Age 65 69 48 37 49 27 62 64 Ho: p = 0 Ha: p = 0 r= Find the p-value p-value= Number of Driver Deaths per 100,000 22 22 34 Find the Linear Correlation Coefficient The p-value is Greater than a Less than (or equal to) a 23 28 20 The p-value leads to a decision to O Do Not Reject Ho O Accept Ho O Reject Ho 33 33 The conclusion is O There is a significant negative linear correlation between driver age and number of driver deaths. There is a significant linear correlation between driver age and number of driver deaths. O There is insufficient evidence to make a conclusion about the linear correlation between driver age and number of driver deaths. O There is a significant positive linear correlation…
Q1 For the tabulated data, find the (a) mean, (b) median, (c) mode, (d) standard deviation. Classes Frequency 3 13-19 20-26 27-33 12 34-40 41-47 5 6. 48-54 1 55-61 62-68 2

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