Construct the 90% interval estimate for the ratio of the population variances usi
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- In an advertising campaign, a snack company claimed that every 18-ounce bag of its cookies contained at least 1000 chocolate chips. Two statisticians attempted to verify the claim. The accompanying data represent the number of chips in an 18-ounce bag of the company's cookies based on their study. Complete parts (a) through (e). Click here to view the chocolate chip data table. Click here to view the standard normal distribution table (page 1). Click here to view the standard normal distribution table (page 2). Chocolate Chip Data Table 1216 1216 1218 1267 1274 1278 1289 1290 1298 1310 1327 1092 1094 1151 1348 1169 1356 1106 1181 1358 1124 1127 1135 1136 1143 1190 1231 1378 1195 1205 1210 1215 1241 1243 1246 1253 1402 1415 1440 1516 Print DoneUse Chebyshevs rule and the empirical rule to describe the distribution of this data set. Count the actual number of observations that fall within one, two, and three standard deviations of the mean if the data set and compare these counts with the description of the the data set I developed.Astudy was done on body temperatures of men and women. The results are shown in the table. Assume that the two samples are independent simple random samples selected from normally distributed populations, and do not assume that the population standard deviations are equal. Complete parts (a) and (b) below. Use a 0.05 significance level for both parts.
- Indicate which of the following are measures of spread. (a)Inter quartile range (b)Mean (c)Range (d)VarianceExplain the circumstances under which we would need to pool the variance for an independent samples t-testWhat is the relationship between the sampling variance of an OLS parameter estimate, and the total sum of squares of that variable?
- A study aims to compare the social media usage rates of men and women. Nine men and 9 women are drawn from the general population and the average time (in minutes) they spent on social media each day was compared (men’s mean = 40, sum of squares = 153; women’s mean = 48, sum of squares = 216). What is the (a) estimated population variance for each random sample, and (b) pooled variance? Estimated population variances = 19.13 and 27.00; Pooled variance = 23.07 Estimated population variances = 19.13 and 27.00; Pooled variance = 20.50 Estimated population variances = 17.00 and 24.00; Pooled variance = 20.50 Estimated population variances = 17.00 and 24.00; Pooled variance = 23.07It is only appropriate and possible to calculate the variance and standard deviation as measures of variability for variables measured using a(n) _____ scale of measurement.If there is significantly more variability between samples than within samples , this tends to be indicative of : 1 use of an inefficient study design. 2. actual mean differences attributed to the factor. 3. incidental differences attributed to samplig error. 4. actual variance difference attribute to different samples.
- If the variance of Aeronautical Engineering board examination results is 144, what is the minimum number if takers needed to estimate the population mean with 95% confidence using a margin of error of 0.80.According to Zero Population Growth, the average urban U.S. resident consumes 3.3 pounds of food per day. Is this figure accurate for rural U.S. residents? Suppose 64 rural U.S. residents are identified by a random procedure and their average consumption per day is 3.60 pounds of food. Assume a population variance of 1.31 pounds of food per day. Use a 5% level of significance to determine whether the Zero Population Growth figure for urban U.S. residents also is true for rural U.S. residents on the basis of the sample data. Appendix A Statistical Tables (Round your answer to 2 decimal places, e.g. 15.75.) The value of the test statistic is z = and wei. Combined ratio gives the higher estimated variance than the separate ratio estimator. A. True B. False ii. The difference estimator is always unbiased in simple random sample. A. True B. False