Problem: A maker of a certain brand of low-fat cereal bars claims that the average saturated fat content is 0.5 gram. In a random sample of 8 cereal bars of this brand, the saturated fat content was 0.6, 0.7, 0.7, 0.3, 0.4, 0.5, 0.4, and 0.2. Would you agree with the claim? Assume a normal distribution.

13. A researcher calculates the column percent and finds the maximum difference across columns is 17.3%. This is an example of ____ relationship: a. weak b. moderate c. strong d. positive

Healthy Eating  Americans appear to be eating healthier. Between 1970 and 2013 the per capita consumption of broccoli increased 1200.5% from 0.5 to 6.4 pounds. A nutritionist followed a group of people randomly assigned to one of three groups and noted their monthly broccoli intake (in pounds). At a=0.05 is there a difference in means? Group A           Group B         Group C 2.0                      2.0                  3.7 1.5                       1.5                   2.5  0.75                    4.0                  4.0 1.0                       3.0                  5.1 1.3                        2.5                  3.8  3.0                       2.0                  2.9 Null Hypothesis Alternative Hypothesis Find the Critical Value Find the Variance of each sample F= Make the decision Summarize Show how to use the TI-84 and Excel to work out the problems.

The number of hours per week that the television is turned on is determined for each family in a sample. The mean of the data is 3535 hours and the median is 31.231.2 hours. Twenty-four of the families in the sample turned on the television for 2020 hours or less for the week. The 12th percentile of the data is 2020 hours. Step 1 of 5 :   Based on the given information, determine if the following statement is true or false. The 57th percentile is greater than or equal to 3030 hours.   True or False?

Q1]. [30%] The data for this question given in the table below come from the sample data folder of MINITAB. The data give you the monthly number of people employed (in units of 1000) in the retail trade industry in the state of Wisconsin from January 1970 to December 1974. Copy this timeseries data into an excel spreadsheet in your home area first before you start your analysis. You can use Excel to answer this question. Month 1970 1971 1972 1973 1974 1 322 322 330 348 361 2 317 318 326 345 354 3 319 320 329 349 357 4 323 326 337 355 367 5 327 332 345 362 376 6 328 334 350 367 381 7 325 335 351 366 381 8 326 336 354 370 383 9 330 335 355 371 384 10 334 338 357 375 387 11 337 342 362 380 392 12 341 348 368 385 396 (a) (b) (c) (d) Draw a time series plot of the data and comment on any noticeable patterns. Describe an appropriate time series model for this data, giving your reasons, and obtain estimates of the components of your model using the decomposition method. Using your model…

A group of 100 people, who lived at varying distances (in kilometers) from an island nuclear power station, were asked if they thought a full evacuation of the area was required, when it went critical. The researches wanted to know if the opinion to evacuate or not depended on how far from the reactor people lived. Partial results of the questionnaire are shown in the table below. 0-3 km distance 3 -6 km distance 6 -9 km distance 9- 12 km distance Totals Evacuation needed X X X 51 Evacuation not X X XX needed Totals 28 28 23 XX XX You are doing a Chi Square test for independence. What is the expected value of the number of people living within a radius of 0-3 km who would say that evacuation was needed? XX denotes row/column totals. Give your answer to 2 decimal places.

A study is planned to compare the proportion of teenagers (ages 13–19) who dislike anchovies with the proportion of young adults (ages 20–30) who dislike anchovies. A random sample of 41 teenagers was taken, and 78% of them disliked anchovies. A random sample of 56 young adults was also taken, and 71% of them disliked anchovies. Difference = Teenagers - Young Adults The picture below is the question. Use the information above to help.

your car is more crowded than you think.  table 5.8 reports results from a 1969 personal transportation survey on "home-to-work" trips in metropolitan areas. The survey stated that the average car occupancy was 1.4 people. check that calculation.