development of 3. An investigator in child development research is studying object permanence-the understanding that an object still exists even if it is out of sight. She tests three groups of infants-ten 9-month-olds, ten 12- month-olds, and ten 15-month-olds. She presents each of the 30 infants with 10 trials. On each trial, a toy is first shown to the child and then covered with a piece of cloth. The infant demonstrates object permanence if he or she looks for the object or shows signs of distress when it is covered. Each infant is given a score for the number of trials (out of 10) on which he or she shows object permanence. Here are the scores: the

What is the CORRECT solution? See the attached.

Can someone answer g.) h.) and i.) please?

You want to obtain a sample to estimate a population proportion. Based on previous evidence, you believe the population proportion is approximately 68%. You would like to be 95% confident that your estimate is within 3.5% of the true population proportion. How large of a sample size is required? Do not round mid-calculation.

Driving test You are about to take the road test for yourdriver’s license. You hear that only 34% of candidatespass the test the first time, but the percentage rises to72% on subsequent retests.a) Create a plan for a simulation to estimate theaverage number of tests drivers take in order to geta license.b) Here are results of 100 trials of a simulation. Use theseresults to estimate the average number of tests driverstake in order to get a license.

Name 2 similarities and 2 differences between one-way between-subjects ANOVA and one-way within-subjects ANOVA (i.e., one-way repeated measure ANOVA).

You want to obtain a sample to estimate a population proportion. Based on previous evidence, you believe the population proportion is approximately 56%. You would like to be 98% confident that your estimate is within 3.5% of the true population proportion. How large of a sample size is required?

The following equation was estimated by OLS: Unipa = 1.392 - 0.0135 psperc + 0..00148 sat n = 4,137, R2 = 0.273 Where unipa is measured on a four-point scale, psperc is the percentile in the post- sixteen class (defined so that, for example, psperc =5 means the top 5% of the class), and sat is the combined maths and verbal scores on the student achievement test.

You want to obtain a sample to estimate a population proportion. Based on previous evidence, you believe the population proportion is approximately 28%. You would like to be 98% confident that your estimate is within 1.5% of the true population proportion. How large of a sample size is required?