it's all one question

eoSuppose the quality control department of a candy manufacturing company wants to assess the consistency of the weights of a E paricular chocolate bar that it produces. A researcher randomly selects a sample of 60 chocolate bars at different times of the % day and measures the chocolate bar weights. The histogram displays the distribution of the weights collected. The sample mean = of the distmibution 1s 56.1 g and the sample variance is 15.8 g. The researcher plans to construct a confidence interval to estimate the population variance using the chi-square distribution. Macm Chocolate bar weight distribution, sample size = 60 20 10 Frequency Determine whether the requirements for estimating a population variance have been met. () Yes, because the sample is a simpl.t: random sample and the sample size is large enough to tolerate deviations from normality caused by an outlier. () No, because the sample obtained is a convenience sample rather than a simple random sample, thus making the sample selection biased. () Yes, because the sampling method is appropriate and the sample distribution has a curve shaped like a chi-square distribution, which is the distribution used to create a confidence interval for the population variance. () No, because the distribution of the data is skewed. The sample variance would not accurately reflect the population variance unless the outlier could be ruled out as invalid. .() No, because the population mean is unknown. The population standard deviation cannot be estimated without information regarding the population mean