10. Use a 0.01 significance level to test the claim that peanut M&M candies have weights thatvary more than the weights of plain M&M candies. The standard deviation for the weightsof plain M&M candies is 0.056 g. A sample of 41 peanut M&M has weights with a standarddeviation of 0.31 g. Why should peanut M&M candies have weights that vary more than theweights of plain M&M candies?

Use a 0.01 significance level to test the claim that peanut M&M candies have weights that vary…

Answered: O. Use a 0.01 significance level to…

MATLAB: An Introduction with Applications

6th Edition

ISBN:9781119256830

Author:Amos Gilat

Publisher:Amos Gilat

Chapter1: Starting With Matlab

Section: Chapter Questions

Problem 1P

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In a data set of 190 ratings, there was a mean rating of 6.82 with a standard deviation of 2.06. Use a 5% significance level to test the claim that the population mean of statute ratings is less than seven. what is the Null and alternative hypothesis, the test statistic, the P value, and the conclusion and interpretation
An avid traveler is investigating whether travel websites differ in their pricing. She chooses a random sample of 32 hotel rooms from across the state and notes the price of each room from site A and site B. The mean difference (site A-site B) in the prices for the rooms is $5.49 with a standard deviation of $18.65. Assuming the conditions for inference have been met, is there evidence that the prices of hotel rooms from site A and site B are different, on average? Use a significance level of a = 0.05. Find the t-table here. Because the P-value is less than a, there is evidence that the prices of hotel rooms from site A and site B are different, on average. Because the P-value is greater than a, there is evidence that the prices of hotel rooms from site A and site B are different, on average. O Because the P-value is less than a, there is not sufficient evidence that the prices of hotel rooms from site A and site B are different, on average. Because the P-value is greater than a, there…
11. The Rocky Mountain district sales manager of Rath Publishing Inc., a college textbook publishing company, claims that the sales representatives make an average of 40 sales calls per week on professors. Several reps say that this estimate is too low. To investigate, a random sample of 28 sales representatives reveals that the mean number of calls made last week was 42. The standard deviation of the sample is 2.1 calls. Using the .05 significance level, can we conclude that the mean number of calls per salesperson per week is more than 4O?
c. Analyzing delivery records for 18 customers from "Jalwa" tailoring company, you found their mean delivery to be 11.53 days with a standard deviation of 4.83 days. Which tailoring company had more variation in their delivery records? Shawapna Tailoring Company OJalwa Tailoring Company O Equal variation OCan not be calculated
2. University researchers claim that the average enrollment at four-year colleges is higher than two-year community colleges. Two surveys are undertaken at 35 four-year universities and 35 two-year colleges. The mean enrollment at the four-year institutions was 5,466 with a standard deviation of 8,191. The average enrollment at the two-year schools was 5,068 with a standard deviation of 4,777. Using a 95% confidence level, are the findings of the surveys consistent with the university researchers’ claim? 2. Does the null hypothesis reject H0 or fail to reject H0?
12) A state fish hatchery raises trout for stocking streams and lakes. The size of the fish at release time can be controlled to a fair degree by varying the rate of feeding. The target is a mean of 10 ounces; if the fish are too small, those who catch the fish aren’t happy. A random sample of 75 fish were weighed at time of release and it was determined that the mean was 9.66 ounces with a standard deviation of 0.86 ounces. Test to determine if the fish being released have a population mean less than 10 ounces at the 0.01 significance level.
According to a November 2014 Winthrop poll, of 852 polled SC residents, 222 of them said they plan to spend less on gifts this holiday season. Suppose 30% of all SC residents will spend less this holiday season. Identify the standard deviation of (all possible) sample proportions for SC resident who will spend less.
Given the following: Sample Mean = 84.3 Population Variance = 144 Sample size = 35 a. Calculate a 90% confidence interval for the mean. Interpret this interval. b. Calculate a 99% confidence interval for the mean. c. Explain the relationship between Confidence Levels and the resulting intervals.
A random sample of 89 tourists in British Columbia showed that they spent an average of $2860 (in a week) with an assumed population standard deviation of $126; and a sample of 64 tourists in Alberta showed that they spent an average of $2935 (in a week) with an assumed population standard deviation of $138. We are interested in determining if there is any significant difference between the average expenditures of all the tourists who visited the two provinces.a. At a significance level of 0.05, are the two average expenditures significantly different? b. Calculate the 99% confidence interval and interpret your results?
An experiment was run to compare three groups. The sample sizes were 28, 33, and 102, and the corresponding estimated standard deviations were 2.7, 2.6 and 4.8. 1) What is the value of the pooled standard deviation? 2) Explain why the answer for part 1 is much closer to the standard deviation of the third group than to either of the other two standard deviations.
The (DOH) in Davao City wants to identify the average number of COVID patients admitted in a certain hospital in Region XI every year. They randomly select 41 hospitals from this region with an average number of 250 COVID patients and a standard deviation of 20. What is the value of the sample mean?* A. 20 B. 41 C. 250 D. 100
2. A travel agent claims that the mean price of a round trip flight from San Francisco to Hawaii is less than $510. A simple random sample of 60 round trip flights from San Francisco to Hawaii has a mean price of $502. Assume the population standard deviation is $110. At a significance level of 5%, is there enough statistical evidence to support the travel agent's claim? Requirements: 1. 2. 3. Step 1: State the hypothesis: Họ: Ha: Tail Step 2: Draw your distribution and find critical number(s) Step 3: Compute the test statistics Step 4: Make a Decision: Step 5: Summarize the result: (Restate the level of significance and discuss the claim)

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