Q1) For a single sideband modulator performing multi-tone modulation, the message signal is 8 sin ωm(t) + 4 cos 2ωmt, the carrier is cos ωct and ωc = 10ωm. Determine the time domain expressions for the upper sideband and the lower sideband versions of the SSB signal. (4 points)Q2) The message signal input to a modulator is given by Am cos(2π×104t). (4 points)(a) If frequency modulation is performed with kf =5π × 104, find the FM bandwidth when (i) Am = 2 and (ii) Am = 4.(b) If phase modulation is performed with kp = 2.25, find the PM bandwidth when(i) Am = 2 and (ii) Am = 4.Q3) Given that a delta modulation has m(t) = 3cos40πt + 4cos60πt, calculate the minimum sampling frequency required to prevent slope overload.Assume that Δ= 0.02π. (4 points)Q4) Twenty baseband channels, each band-limited to 2.4 kHz, are sampled and multiplexed at a rate of 6 kHz. What is the required bandwidth for transmission if the multiplexed samples use a PCM system?(4 points)Q5) Time-division multiplexing is used to transmit two signals m1(t) and m2(t). The highest frequency of m1(t) is 4 kHz, while that of m2(t) is 3.2 kHz. Determine the minimum allowable sampling rate. (4 points)

In the following are two Wireshark Labs with detailed discription and clear steps, should be done easily bc I did the previous ones.Looking for fast help

Review the chapter readings of this week and assess the following concepts: When is the chi-squared statistic used in testing hypotheses? Include underlying assumptions and the test statistic for testing hypotheses on a single population variance. What is a correlation coefficient? What is the range of its possible values, and why? How do you determine if a correlation coefficient is statistically significant? In a simple regression, what is the coefficient of determination, and how is it interpreted?  Peer response: The correlation coefficient is a statistical measure of how strong a relationship exists between two variables' relative movements. The range of possible values for a good correlation coefficient is between negative 1.0 and a positive 1.0. Values close to -1.0 are said to have a strong negative relation while those close to 1.o have a strong positive relationship (Darlington & Hayes, 2016). Values at zero or close to it denotes a weak or no linear relationship. The reason as to why the range of values should remain within the range limit is that anything outside it will be interpreted as having an error in correlation coefficient. A correlation coefficient is said to be statistically significant if ‘r’ is not found between the negative and positive critical values (Darlington & Hayes, 2016). Similarly, a correlation coefficient is said to be statistically significant if the p-value or the significance level of the correlation can be determined by using the correlation coefficient table for the degrees of freedom. For instance, df=n-2, where n is the number of observations in x and y variables. In simple regression analysis, the coefficient of determination, denoted by R^2, is a measure in statistic that tests how a model projects or explains an outcome in a linear regression (Darlington & Hayes, 2016). It signifies how well the regression model fits the observed data. It is interpreted as the proportion in the dependent variable that is forecastable from the independent variable. Reference Darlington, R. B., & Hayes, A. F. (2016). Regression Analysis and Linear Models: Concepts, Applications, and Implementation. In Google Books. Guilford Publications. https://books.google.co.ke/books?hl=en&lr=&id=YDgo...