A middle school teacher believes that a reading rewards program results in a higher number of pages read per yearafter the program is completed. The teacher chooses a simple random sample of students and records the number ofpages read per year before starting the program and after the program is completed. The results of the study arebelowWhat are the population parameters?PickBefore813.25192250.25 182875.22After904.95 What is the level of significance? Ex: 0.12MeanVarianceObservationsHypothesized Mean Difference100100Is the two-sample hypothesis test a paired or unpaired t-test? Pick198t StatP[T< t) one-tailtCitical one-tailP[T<=t) two-tailt Critical two talConfidence LevelWhat is the null hypothesis Ho? Pick0.0681.653What is the alternative hypothesis H.? Pick1.97295%Should Ho be rejected or does Ho fail to be rejected? PickWhat conclusion can be drawn from the data?Pickv evidence exists to support the claim that the mean number of pages read per year after the prohigher than before the program.2.

A middle school teacher believes that a reading rewards program results in a higher number of pages read per year after the program is completed. The teacher chooses a simple random sample of students and records the number of pages read per year before starting the program and after the program is completed. The results of the study are below. What are the population parameters? Pick Before After 904.95 What is the level of significance? Мean 813.25 Ex: 0.12 Variance 192250.25 182875.22 Observations 100 100 Is the two-sample hypothesis test a paired or unpaired t-test? Pick Hypothesized Mean Difference df EStat P(T<=t) one-tail 198 1.497 What is the null hypothesis Ho? Pick 0.068 Critical one-tail 1.653 What is the alternative hypothesis H.? Pick (T<=t) two-tail Critical two-tail onfidence Level 0.136 1.972 95% chould Ho be rejected or does Ho fail to be rejected? Pick /hat conclusion can be drawn from the data? Pick v evidence exists to support the claim that the mean number of pages read per year after the pr higher than before the program. 2

A middle school teacher believes that a reading rewards program results in a higher number of pages read per year after the program is completed. The teacher chooses a simple random sample of students and records the number of pages read per year before starting the program and after the program is completed. The results of the study are below. What are the population parameters? Pick Before After 904.95 What is the level of significance? Мean 813.25 Ex: 0.12 Variance 192250.25 182875.22 Observations 100 100 Is the two-sample hypothesis test a paired or unpaired t-test? Pick Hypothesized Mean Difference df EStat P(T<=t) one-tail 198 1.497 What is the null hypothesis Ho? Pick 0.068 Critical one-tail 1.653 What is the alternative hypothesis H.? Pick (T<=t) two-tail Critical two-tail onfidence Level 0.136 1.972 95% chould Ho be rejected or does Ho fail to be rejected? Pick /hat conclusion can be drawn from the data? Pick v evidence exists to support the claim that the mean number of pages read per year after the pr higher than before the program. 2

MATLAB: An Introduction with Applications

6th Edition

ISBN:9781119256830

Author:Amos Gilat

Publisher:Amos Gilat

Chapter1: Starting With Matlab

Section: Chapter Questions

Problem 1P

See similar textbooks

Similar questions

A local bank claims that the waiting time for its customers to be served is the lowest in the area. A competitor bank checks the waiting times at both banks. The sample statistics are listed below. Test the local bank's claim. Use the information given below. Use a significance level of .05 and assume the variances are equal. Sample statistics for a local bank and a competitor's bank Local Bank Competitor Bank Sample size n1 = 46 n2 = 50 Average waiting time in minutes for each sample X, = 2.3 mins. X2 = 2.6 Sample Standard Deviation of each Sample = 1.1 mins 1.0 mins. S1 S2 1. Are the samples dependent or independent? 2. State your Null/Alternative hypotheses 3. What is the test-statistic? 4. What is the p-value? 5. What are the critical values? 6. Does the test-statistic lie in the rejection region? 7. Interpret the Result? Does the result change for a different value of alpha? Explain?
Hi, I'm stuck with question 2. Question 1 given the example for this question
Consider that a researcher is examining the relationship between amounts of physical activity and weight among adults. The researcher goes to a local athletics club to sample individuals who frequently exercise to examine the correlation between physical activity and weight. What is the most prominent concern regarding this research study that may obscure the true nature of the relationship between physical activity and weight among the population of adults? a. restriction of range b. outliers c. reliability d. violation of the homogeneity of variances assumption
A company would like to know if efficiency can be improved through a training course for employees. A sample of employees is taken. The time taken for an employee to complete a task before training and after training is observed.
Compared to an independent-measures design, a repeated-measured study is more likely to find a significant effect because it reduces the contribution of variance due to ____. a. MD b. the effect of the treatment c. degrees of freedom d. individual differences
Choose the appropriate statistical test. When computing, be sure to round each answer as indicated. A dentist wonders if depression affects ratings of tooth pain. In the general population, using a scale of 1-10 with higher values indicating more pain, the average pain rating for patients with toothaches is 6.8. A sample of 30 patients that show high levels of depression have an average pain rating of 7.1 (variance 0.8). What should the dentist determine? 1. Calculate the estimated standard error. (round to 3 decimals). [st.error] 2. What is thet-obtained? (round to 3 decimals). 3. What is the t-cv? (exact value) 4. What is your conclusion? Only type "Reject" or Retain"
An analysis of variances produces dftotal = 29 and dfwithin = 27. For this analysis, how many treatment conditions are being compared? a. 1 b. 2 c. 3 d. Cannot be determined without additional information
Explain the circumstances under which we would need to pool the variance for an independent samples t-test
In order to measure the effectiveness of a weight loss program, members are weighed at the beginning and the end of the program. This is an example of independent samples with unequal population variances. True or False True False
Scientists measured the amount of drug in tablets produced at two different, independent sites. Scientists want to know whether there is any difference between the mean drug concentration in tablets produced at Site 1 and Site 2. Run the appropriate test in Excel, assuming the population variances are equal. Use an a = .05 significance level. Submit the...
Group 1. Mean= 24.08 Group 2. Mean= 26.5 STD Dev= 4.42 STD Dev= 5.2 Sample Size=16 Sample Size=16 What is tcomputed =
Perform an analysis of variance (ANOVA) to determine if the differences in the percentage butterfat of the different breeds of cows is statistically significant. Guernsey Jersey Holstein 4.51 4.59 3.43 5.26 6.67 3.68 5.81 5.39 3.72 5.14 4.38 3.76 4.55 4.99 4.43 4.86 5.49 3.84 4.69 5.43 3.54 4.12 5.02 4.18 5.44 5.16 3.4 4.69 5.15 3.77 5.24 5.76 4.03 4.62 5.34 3.63 4.61 5.11 3.37 5.02 4.75 3.54 4.67 5.07 3.64 4.59 4.42 3.98 4.92 6.13 5.58 4.6 5.6 5.83 1. Compute the treatment sum of squares (SSTr) and the error sum of squares (SSE) and use them to complete the following ANOVA table. (Round your answers to 4 decimal places). Source S.S. df M.S. F Treatment Error Total 2. Compute the p-value. (Round your answer to 4 decimal places.)p-value =