Sample F&B Permission Form: Fill & Download for Free

A2A. Here’s what I would suggest:Submit a sample to AV vendors for analysis. Most major AV vendors have ways to send them samples of malicious or potentially malicious files.McAfee: Submit a Virus or Malware SampleMicrosoft: Submit a file for malware analysisF-Secure: Submit A Sample | F-Secure LabsSymantec: https://www.symantec.com/security-center/submit-virus-samplesSophos: Submit a SamplePing Lenny Zeltser. He does a lot of work analyzing new malware samples. He also maintains an archive of samples for infosec research and analysis. If he doesn’t want to look at it, he can probably tell you who will: Contact Lenny ZeltserUpload it to VirusTotal to see if any existing scanners have flagged it yet.Send it to OTX (Open Threat Exchange) for sharing with infosec groups: How to Submit to Open Threat ExchangeWhen you submit infected files or other malicious software via email or file upload, infosec best practice is to put it in a password-protected Zip file with the password ‘infected’ (all lower case, no quotes), to prevent automated attachment scanners from blocking the submission.And speaking as someone who’s active in infosec: Thank you. :)

186 F-22s240 F-15Cs, 26 F-15Ds219 F-15Es229 F-35As928 F-16Cs, 150 F-16Dsaswell as other combat aircraft like:20 B-2s59 B-1Bs287 A-10Cs32 AC-130J/U/Ws74 B-52s50 CV-22Bs (used for Combat Search and Rescue)84 HH-60G/Us (Combat Search and Rescue)EDIT - You know what? Screw it. Here’s the other branches’ combat aircraftUS Navy:18 F-35Cs (13 of them for training)532 F/A-18E/Fs (131 for training)155 EA-18Gs (while mostly for radar jamming, just like the old EA-6Bs it replaced, they are also essentially Navy “Wild Weasels”)41 P-3Cs (4 used for recon)91 P-8s508 SH/MH/HH-60s (among a variety of roles is hunting submarines)this one’s a bit iffy, but - 29 MH-53Es (these are used for minesweeping, and also actually laying mines)US Marine Corps:143 F/A-18A/C/Ds102 AV-8B+81 F-35Bs (29 used for training)90 AH-1Zs59 AH-1WsUS Army:47 MH/AH-6Ms792 AH-64D/Es61 MH-47D/E/Gs58 MH-60K/Ls

T-test and F-test are completely two different things.1. T-test is used to estimate population parameter, i.e. population mean, and is also used for hypothesis testing for population mean. Though, it can only be used when we are not aware of population standard deviation. If we know the population standard deviation, we will use Z-test.For eg. Suppose a data suggests that the average height of boys between 10-16 years in city X is 6 Feet. So, we want to test this hypothesis,whether the height of boys between 10-16 years in city X is less than, more than, or equal to 6 Feet. For doing so, we will take some samples, say 2000, and find out the height of boys between age 10 to 16 years. We will calculate the standard deviation of the 2000 boys, and calculate the t-statistic=X bar = sample meanu= pop meanS= sample standard deviationn= sample sizedf= n-1Once we calculate t-statistic, we will compare it with the critical value. Suppose, we take α=.05, as it is two tailed test, α/2= .025, we then look at the table value for t, with degrees of freedom =n-1, 2000-1, and α/2=0.25 which is=±1.96.Once we get the t-value, we will compare whether our t-statistic is greater than +1.96 or less than -1.96. . If it is greater than +1.96 or less than -1.96, we reject the null hypothesis, which means, that the average height of boys in city X is not equal to 6 feet. If our t-statistic is between ±1.96, we fail to reject the null hypothesis, which means, that the average height of boys in city X is equal to 6 feet. This is when we conduct hypothesis testing.2. We can also use t-statistic to estimate population mean:Eg. Suppose,a large conglomerate like TCS(Indian IT company) which has employees more than 300,000. So, TCS wants to estimate average over time an employee works for the company, in a week. So, it might not be possible to get required data(hypothetical situation, though these days it might be possible) from all employees. Therefore, the company takes a sample, say 3000, and finds the number of extra hours of work employees have done in week. With the help of the sample mean and sample standard deviation; for the entire population- one can estimate the range of average number of extra hours of work, employees have done in week.Confidence interval to find out the range= x̅±tα/2,n-1 *S/√n ≤Ų≤ x̅±tα/2,n-1* S/√n.3. t-statistic is also used for finding out the difference in two population mean with the help of sample means.For eg, suppose, if we want to understand buying behaviour of customers from two cities for a particular product. We want to understand whether there is any difference in buying behaviour in these cities,or is it similar.F-statisticZ statistic or t-statistic is used to estimate population parameters- population mean & proportion. It is also used for testing hypothesis for population mean or population proportion.Unlike Z-statistic or t-statistic, where we deal with mean & proportion, Chi-square or F-test is used for finding out whether there is any variance within the samples. F-test is the ratio of variance of two samples.Eg. Suppose, in a manufacturing plant there are 2 machines producing same products, and the management wants to understand, whether there is any variability among the products produced by these two machines. Researcher will take samples from both the machines and find out the variability, and test it against the null hypothesis, i.e. the prescribed limit.F-statistic also forms the basis for ANNOVA.Happy to receive any suggestion.