If Katie is conducting a multi-way ANOVA and dfRows = 2, dfColumns = 3, dfInteraction = 6, dfWithin = 85, and alpha is set at .05, what is the critical value of F for the row main effect?
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A: Given Alpha=0.05 Variance=0.18 Standard deviation=0.32
Q: Claudia’s bakery business has taken off. Her goods are so popular that she has decided to invest in…
A: Given n=11 Standard deviation=0.32 Variance=0.18
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If Katie is conducting a multi-way ANOVA and dfRows = 2, dfColumns = 3, dfInteraction = 6, dfWithin = 85, and alpha is set at .05, what is the critical value of F for the row main effect?
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- A researcher has access to 100 participants for an independent sample design study, and she is hoping to achieve power = .80.What effect size will her data need to achieve to make that possible?Claudia’s bakery business has taken off. Her goods are so popular that she has decided to invest in kitchen equipment that will do some of the work for her. One machine in particular prepares bread dough, and it is set to measure 7 grams of yeast per loaf. Because baking requires precise measurements, she wants to test the new machine to make sure that the variance in the amounts of yeast per loaf is less than 0.27, at the 0.10 level of significance. A sample of the amounts of yeast added to the dough for 15 loaves has a variance of 0.17. Does this evidence support the claim that the new machine produces dough with a variance in the amounts of yeast per loaf of less than 0.27? Assume that the amounts of yeast per loaf are normally distributed. Step 1 of : State the null and alternative hypotheses for the test. Fill in the blank below. H0: σ2=0.27 Ha: σ2⎯⎯⎯⎯⎯⎯⎯⎯⎯⎯⎯⎯⎯⎯⎯0.27Would someone familiar with g-power help me complete this?
- An experiment to test the effectiveness of regular treatments with fluoride varnish to reduce tooth decay involved 36 volunteers who had half of their teeth (the right side or left side, determined by a coin flip) painted with a fluoride varnish every six month for 5 years. At the end of the treatments, the number of new cavities during the treatment period was compared on treatment (fluoride varnish) side versus the control (no fluoride varnish) side. The appropriate statistical test for analyzing the results of this experiment is O Paired t test for a mean difference O One sample z test for a population mean O Two sample t test for a difference in means O One sample z test for a population proportion O Two sample z test for a difference in proportionsTardigrades, or water bears, are a type of micro-animal famous for their resilience. In examining the effects of radiation on arganisms, an expert claimed that the amount of gamma radiation needed to sterilize a colany of tardigrades no longer has a mean of 1200 Gy (grays). (For comparison, humans cannot withstand more than 10 Gy.) A study was conducted on a sample of 21 randomly selected tardigrade colonies, finding that the amount of gamma radiation needed to sterilize a colony had a sample mean af 1225 Gy, with a sample standard deviation of 65 Gy. Assume that the population of amounts of gamma radiation needed to sterilize a colony of tardigrades is approximately normally distributed. Complete the parts below to perform a hypothesis test to see if there is enough evidence, at the 0.10 level af significance, to support the claim that H, the mean amount of gamma radiation needed to sterilize a colony of tardigrades, is nat equal to 1200 Gy. (a) State the null hypothesis and the…A two-way ANOVA experiment with interaction was conducted. Factor A had three levels (columns), factor B had five levels (rows), and six observations were obtained for each combination. Assume normality in the underlying populations. The results include the following sum of squares terms: SST=1542 SSA= 1042 SSB = 358 SSAB = 39 a. Construct an ANOVA table. (Round "MS" to 4 decimal places and "F" to 3 decimal places.) ANOVA Source of Variation Rows Columns Interaction Error Total SS 0 df Answer is not complete. 0 MS F p- value 0.000 0.000 0.002
- Claudia’s bakery business has taken off. Her goods are so popular that she has decided to invest in kitchen equipment that will do some of the work for her. One machine in particular prepares bread dough, and it is set to measure 99 grams of yeast per loaf. Because baking requires precise measurements, she wants to test the new machine to make sure that the variance in the amounts of yeast per loaf is less than 0.32, at the 0.05 level of significance. A sample of the amounts of yeast added to the dough for 11 loaves has a variance of 0.18. Does this evidence support the claim that the new machine produces dough with a variance in the amounts of yeast per loaf of less than 0.32? Assume that the amounts of yeast per loaf are normally distributed. Step 1 of 3 : Step 1 of 3 : State the null and alternative hypotheses for the test. Fill in the blank below.A survey of the population of 51 students in Psych 311 asks how many credits students are taking and obtains the following normally-distributed results: ∑ X= 686 and ∑X2= 9832.92. Using this information, answer the following three questions. What is the percentile rank of a student who is enrolled in 15 credits? (Hint: This is the same thing as asking “what percentage of students is enrolled in 15 credits or less?”) MUST SHOW WORK FOR THIS PROBLEM What percentage of students are enrolled in between 12 and 18 credits? (MUST SHOW WORK FOR THIS PROBLEM) What is the 25th percentile? (Hint: This is the same as asking what score separates the bottom 25% of the distribution from the top 75%.) MUST SHOW WORK FOR THIS PROBLEMClaudia’s bakery business has taken off. Her goods are so popular that she has decided to invest in kitchen equipment that will do some of the work for her. One machine in particular prepares bread dough, and it is set to measure 8 grams of yeast per loaf. Because baking requires precise measurements, she wants to test the new machine to make sure that the variance in the amounts of yeast per loaf is less than 0.31, at the 0.05 level of significance. A sample of the amounts of yeast added to the dough for 14 loaves has a variance of 0.12. Does this evidence support the claim that the new machine produces dough with a variance in the amounts of yeast per loaf of less than 0.31? Assume that the amounts of yeast per loaf are normally distributed. Step 1 of 3 : State the null and alternative hypotheses for the test. Fill in the blank below. H0: σ2=0.31 Ha: σ2⎯⎯⎯⎯⎯⎯⎯⎯⎯⎯⎯⎯⎯⎯⎯0.31
- A pharmaceutical company has developed a drug that is expected to reduce hunger. To test the drug, three samples of rats are selected with n = 11 in each sample. The first sample receives the drug every day. The second sample is given the drug ance a week, and the third sample receives no drug at all (the control group). The dependent variables is the amount of food eaten by each rat aver a 1-month period. These data are analyzed by an ANOVA, and the results are reported in the following summary Lable. Fill in all missing values in the Lable. (Hint: Start with the df column.) s.S. d.f. M.S. IF Between 6.57 Within 4.35 TOTAL Use the =FDIST () function in Excel to locate the p-value for this ANOVA: pvalue- Report answer accurate to at least 4 decimal places. If you use a signilficance level of a = 05, what would you condlude about these treatments? OThese data do not pravide evidence of a difference between Lhe treatments OThere is a significant difference between treatmentsMore than 10% of people carry the parasite Toxoplasma gondii. The life-long presence of Toxoplasma cysts in neural and muscular tissues leads to prolongation of reaction times in infected subjects. The following table gives data from Prague on 15- to 29-year-old drivers who had been and had not been involved in accidents. The table also gives the number of drivers who were infected with Toxoplasma gondii and who were uninfected. Infected Uninfected Drivers with accidents 21 38 Drivers without accidents 38 211 Source: Flegr. J Havlicek, J., Kodym, P. Malý, M. & Smahel, Z. (2002). Increased risk of traffic accidents in subjects with latent toxoplasmosis: a retrospective case- control study. BMC infectious diseasex, 2, 11. https://doi.org/10.1186/1471-2334-2-11 Complete the sentences to form the correct statements identifying the explanatory and response variables. Select from here: infection status. The explanatory variable is place of living. accident state. The response variable is age…Claudia’s bakery business has taken off. Her goods are so popular that she has decided to invest in kitchen equipment that will do some of the work for her. One machine in particular prepares bread dough, and it is set to measure 9 grams of yeast per loaf. Because baking requires precise measurements, she wants to test the new machine to make sure that the variance in the amounts of yeast per loaf is less than 0.33, at the 0.10 level of significance. A sample of the amounts of yeast added to the dough for 18 loaves has a variance of 0.15. Does this evidence support the claim that the new machine produces dough with a variance in the amounts of yeast per loaf of less than 0.330.33? Assume that the amounts of yeast per loaf are normally distributed. Step 1 of 3 : State the null and alternative hypotheses for the test. Fill in the blank below. H0: σ2= 0.33: Ha: σ2⎯⎯⎯⎯ 0.33
